https://www.math.wisc.edu/wiki/api.php?action=feedcontributions&user=Hanhart&feedformat=atomUW-Math Wiki - User contributions [en]2020-09-19T21:17:37ZUser contributionsMediaWiki 1.30.1https://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19424Named options2020-06-04T18:03:21Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to another area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375).<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 375, 421, or 467.<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 18 credits in MATH from no fewer than six courses above the 300 level.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]''' for complete descriptions. <br />
<br />
NOTES:<br />
<br />
1) Be aware that the information below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]'''for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-data-risk-analysis-ba/#requirementstext guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-physical-biological-sciences-ba/#requirementstext guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-secondary-education-ba/ guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-economics-finance-ba/#requirementstext guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-programming-computing-ba/#requirementstext guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19423Named options2020-06-04T17:58:01Z<p>Hanhart: /* MATHEMATICS FOR PROGRAMMING AND COMPUTING */</p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to another area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375).<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 375, 421, or 467.<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 18 credits in MATH from no fewer than six courses above the 300 level.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]''' for complete descriptions. <br />
<br />
NOTES:<br />
<br />
1) Be aware that the information below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]'''for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-data-risk-analysis-ba/#requirementstext guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-physical-biological-sciences-ba/#requirementstext<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-secondary-education-ba/<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-economics-finance-ba/#requirementstext<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-programming-computing-ba/#requirementstext<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19422Named options2020-06-04T17:57:35Z<p>Hanhart: /* MATHEMATICS FOR ECONOMICS AND FINANCE */</p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to another area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375).<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 375, 421, or 467.<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 18 credits in MATH from no fewer than six courses above the 300 level.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]''' for complete descriptions. <br />
<br />
NOTES:<br />
<br />
1) Be aware that the information below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]'''for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-data-risk-analysis-ba/#requirementstext guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-physical-biological-sciences-ba/#requirementstext<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-secondary-education-ba/<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-economics-finance-ba/#requirementstext<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19421Named options2020-06-04T17:57:09Z<p>Hanhart: /* MATHEMATICS FOR SECONDARY EDUCATION */</p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to another area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375).<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 375, 421, or 467.<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 18 credits in MATH from no fewer than six courses above the 300 level.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]''' for complete descriptions. <br />
<br />
NOTES:<br />
<br />
1) Be aware that the information below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]'''for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-data-risk-analysis-ba/#requirementstext guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-physical-biological-sciences-ba/#requirementstext<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-secondary-education-ba/<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19420Named options2020-06-04T17:56:41Z<p>Hanhart: /* MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES */</p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to another area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375).<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 375, 421, or 467.<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 18 credits in MATH from no fewer than six courses above the 300 level.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]''' for complete descriptions. <br />
<br />
NOTES:<br />
<br />
1) Be aware that the information below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]'''for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-data-risk-analysis-ba/#requirementstext guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-physical-biological-sciences-ba/#requirementstext<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19419Named options2020-06-04T17:55:52Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to another area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375).<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 375, 421, or 467.<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 18 credits in MATH from no fewer than six courses above the 300 level.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]''' for complete descriptions. <br />
<br />
NOTES:<br />
<br />
1) Be aware that the information below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]'''for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
The precise description of the requirements of this named option is available in the [https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-ba/mathematics-mathematics-data-risk-analysis-ba/#requirementstext guide].<br />
<br />
If you are interested in this option then please meet with a math faculty advisor in order to construct a course plan which works best for you.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19418Named options2020-06-03T21:17:24Z<p>Hanhart: /* General Requirements and Notes for all Named Options */</p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to another area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375).<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 375, 421, or 467.<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 21 credits in MATH from no fewer than seven courses.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''[https://guide.wisc.edu/undergraduate/letters-science/mathematics/mathematics-bs/#requirementstext guide]''' for complete descriptions. <br />
<br />
NOTES:<br />
<br />
1) Be aware that the information below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19417Named options2020-06-03T21:16:36Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to another area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375).<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 375, 421, or 467.<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 21 credits in MATH from no fewer than seven courses.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''guide''' for complete descriptions. <br />
<br />
NOTES:<br />
<br />
1) Be aware that the information below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=19416Undergraduate Linear Algebra Courses2020-06-03T20:51:03Z<p>Hanhart: /* Math 375 Topics in Multi-Variable Calculus and Linear Algebra */</p>
<hr />
<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not by itstelf sufficient for taking advanced math classes.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and linear operators as matrices. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 340 is:<br />
* Ideal for students who need functional knowledge of basic matrix algebra in particular those looking for applications featuring discrete mathematics (i.e., computer science and possibly statistics).<br />
* Not by itself sufficient for enrollment in advance Math courses<br />
* Subsequent math courses:<br />
** [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for those interested in advanced undergradaute math courses above the 500 level.<br />
** ODE [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] for those interested in the applied analysis sequence.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
It is the recommended linear algebra course for majors interested in moving to advanced undergraduate courses quickly<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* Will give students access to advanced level math courses.<br />
* Subsequent courses:<br />
** [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for another exposure to formal mathematical arguments at the introductory level.<br />
** Any math course above the 500 level (possibly assuming other prereqs).<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Enrollment is by permission only.<br />
* Not open to students who have credit for Math 234.<br />
* A good introduction to proofs and proofwriting.<br />
* Students who complete Math 375 and not Math 376 are not considered to have completed the content of Math 234! So by enrolling in Math 375 in the Fall, you should be prepared to enroll in Math 376 in the spring, or Math 234 in order to complete multivariate calculus.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=19415Undergraduate Linear Algebra Courses2020-06-03T20:49:28Z<p>Hanhart: /* Math 341 Linear Algebra */</p>
<hr />
<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not by itstelf sufficient for taking advanced math classes.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and linear operators as matrices. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 340 is:<br />
* Ideal for students who need functional knowledge of basic matrix algebra in particular those looking for applications featuring discrete mathematics (i.e., computer science and possibly statistics).<br />
* Not by itself sufficient for enrollment in advance Math courses<br />
* Subsequent math courses:<br />
** [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for those interested in advanced undergradaute math courses above the 500 level.<br />
** ODE [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] for those interested in the applied analysis sequence.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
It is the recommended linear algebra course for majors interested in moving to advanced undergraduate courses quickly<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* Will give students access to advanced level math courses.<br />
* Subsequent courses:<br />
** [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for another exposure to formal mathematical arguments at the introductory level.<br />
** Any math course above the 500 level (possibly assuming other prereqs).<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
This course is acceptable in both versions of the major.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Enrollment is by permission only.<br />
* Not open to students who have credit for Math 234.<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* Students who complete Math 375 and not Math 376 are not considered to have completed the content of Math 234!</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=19414Undergraduate Linear Algebra Courses2020-06-03T20:47:11Z<p>Hanhart: /* Math 340 Elementary Matrix and Linear Algebra */</p>
<hr />
<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not by itstelf sufficient for taking advanced math classes.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and linear operators as matrices. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 340 is:<br />
* Ideal for students who need functional knowledge of basic matrix algebra in particular those looking for applications featuring discrete mathematics (i.e., computer science and possibly statistics).<br />
* Not by itself sufficient for enrollment in advance Math courses<br />
* Subsequent math courses:<br />
** [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for those interested in advanced undergradaute math courses above the 500 level.<br />
** ODE [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] for those interested in the applied analysis sequence.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
This course is acceptable to both versions of the major. It is the recommended linear algebra course for most math majors including those in the option 1 path and those in option 2 who may not want to complete the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] sequence.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* '''The preferred course for most majors.'''<br />
* Subsequent courses:<br />
** [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for another exposure to formal mathematical arguments at the introductory level.<br />
** Any math course above the 500 level (possibly assuming other prereqs).<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
This course is acceptable in both versions of the major.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Enrollment is by permission only.<br />
* Not open to students who have credit for Math 234.<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* Students who complete Math 375 and not Math 376 are not considered to have completed the content of Math 234!</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=19413Undergraduate Linear Algebra Courses2020-06-03T20:46:04Z<p>Hanhart: /* Math 340 Elementary Matrix and Linear Algebra */</p>
<hr />
<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not by itstelf sufficient for taking advanced math classes.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and linear operators as matrices. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 340 is:<br />
* Ideal for students who need functional knowledge of basic matrix algebra in particular those looking for applications featuring discrete mathematics (i.e., computer science and possibly statistics).<br />
* Subsequent math courses:<br />
** [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for those interested in advanced undergradaute math courses above the 500 level.<br />
** ODE [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] for those interested in the applied analysis sequence.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
This course is acceptable to both versions of the major. It is the recommended linear algebra course for most math majors including those in the option 1 path and those in option 2 who may not want to complete the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] sequence.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* '''The preferred course for most majors.'''<br />
* Subsequent courses:<br />
** [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for another exposure to formal mathematical arguments at the introductory level.<br />
** Any math course above the 500 level (possibly assuming other prereqs).<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
This course is acceptable in both versions of the major.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Enrollment is by permission only.<br />
* Not open to students who have credit for Math 234.<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* Students who complete Math 375 and not Math 376 are not considered to have completed the content of Math 234!</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=19412Undergraduate Linear Algebra Courses2020-06-03T20:44:22Z<p>Hanhart: /* Math 320 Linear Algebra and Differential Equations */</p>
<hr />
<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not by itstelf sufficient for taking advanced math classes.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and linear operators as matrices. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed math 340 are STRONGLY encouraged to take [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for an introduction to proofs and proofwriting before moving on to courses above the 500 level.<br />
<br />
In summary math 340 is:<br />
* Accepted in both major versions and the certificate.<br />
* Not necessarily a good introduction to proofs and proofwriting.<br />
* '''Not suggested for majors'''.<br />
* Ideal for students in other programs who need functional knowledge of basic matrix algebra in particular those looking for applications featuring discrete mathematics (i.e., computer science and possibly statistics).<br />
* Subsequent math courses:<br />
** [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for those interested in advanced undergradaute math courses above the 500 level.<br />
** ODE [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] for those interested in the applied analysis sequence.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
This course is acceptable to both versions of the major. It is the recommended linear algebra course for most math majors including those in the option 1 path and those in option 2 who may not want to complete the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] sequence.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* '''The preferred course for most majors.'''<br />
* Subsequent courses:<br />
** [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for another exposure to formal mathematical arguments at the introductory level.<br />
** Any math course above the 500 level (possibly assuming other prereqs).<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
This course is acceptable in both versions of the major.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Enrollment is by permission only.<br />
* Not open to students who have credit for Math 234.<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* Students who complete Math 375 and not Math 376 are not considered to have completed the content of Math 234!</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=19411Undergraduate Linear Algebra Courses2020-06-03T20:43:20Z<p>Hanhart: /* Math 320 Linear Algebra and Differential Equations */</p>
<hr />
<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
Students who have completed Math 320 will need to complete either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] or [https://www.math.wisc.edu/node/786 Math 467] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not necessarily a good introduction to formal mathematical arguments.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and linear operators as matrices. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed math 340 are STRONGLY encouraged to take [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for an introduction to proofs and proofwriting before moving on to courses above the 500 level.<br />
<br />
In summary math 340 is:<br />
* Accepted in both major versions and the certificate.<br />
* Not necessarily a good introduction to proofs and proofwriting.<br />
* '''Not suggested for majors'''.<br />
* Ideal for students in other programs who need functional knowledge of basic matrix algebra in particular those looking for applications featuring discrete mathematics (i.e., computer science and possibly statistics).<br />
* Subsequent math courses:<br />
** [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for those interested in advanced undergradaute math courses above the 500 level.<br />
** ODE [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] for those interested in the applied analysis sequence.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
This course is acceptable to both versions of the major. It is the recommended linear algebra course for most math majors including those in the option 1 path and those in option 2 who may not want to complete the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] sequence.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* '''The preferred course for most majors.'''<br />
* Subsequent courses:<br />
** [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for another exposure to formal mathematical arguments at the introductory level.<br />
** Any math course above the 500 level (possibly assuming other prereqs).<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
This course is acceptable in both versions of the major.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Enrollment is by permission only.<br />
* Not open to students who have credit for Math 234.<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* Students who complete Math 375 and not Math 376 are not considered to have completed the content of Math 234!</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19409Named options2020-05-29T16:45:42Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to another area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375).<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 421, or 467.<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 21 credits in MATH from no fewer than seven courses.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''guide''' for complete descriptions. <br />
<br />
NOTES:<br />
<br />
1) Be aware that the information below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19408Named options2020-05-29T16:39:44Z<p>Hanhart: /* General Requirements and notes for all Named Options */</p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== General Requirements and Notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375)<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 421, or 467<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 21 credits in MATH from no fewer than seven courses.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the '''guide''' for complete descriptions.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19407Named options2020-05-29T16:39:15Z<p>Hanhart: /* MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS */</p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== General Requirements and notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375)<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 421, or 467<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 21 credits in MATH from no fewer than seven courses.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the guide for complete descriptions.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of Statistics, Data Science, Actuarial Science, Bio-Statistics, and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19406Named options2020-05-29T16:38:43Z<p>Hanhart: /* General Requirements and notes for all Named Options */</p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== General Requirements and notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375)<br />
<br />
2) An intermediate level "transition" course or sequence: MATH 321/2, 341, 421, or 467<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 21 credits in MATH from no fewer than seven courses.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the guide for complete descriptions.<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of '''Statistics,''' '''Data Science,''' '''Actuarial Science''', '''Bio-Statistics''', and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19405Named options2020-05-29T16:38:18Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== General Requirements and notes for all Named Options ==<br />
In general, all named option programs will have the following requirements:<br />
<br />
1) A course in linear algebra (MATH 320, 340, 341, or 375)<br />
<br />
2) An intermediate level ``transition'' course or sequence: MATH 321/2, 341, 421, or 467<br />
<br />
3) A minimum of two advanced MATH courses (Numbered 500 and above).<br />
<br />
4) A minimum of 21 credits in MATH from no fewer than seven courses.<br />
<br />
Any additional course/credit/level requirements are specific to each Named Option and students should refer to the guide for complete descriptions.<br />
<br />
<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of '''Statistics,''' '''Data Science,''' '''Actuarial Science''', '''Bio-Statistics''', and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19396Named options2020-05-19T22:47:16Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''may have prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of '''Statistics,''' '''Data Science,''' '''Actuarial Science''', '''Bio-Statistics''', and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19395Named options2020-05-19T22:37:05Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''do not include prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of '''Statistics,''' '''Data Science,''' '''Actuarial Science''', '''Bio-Statistics''', and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320<br />
<br />
== MATHEMATICS FOR PROGRAMMING AND COMPUTING ==<br />
The areas of mathematics of interest here are often lazily grouped as "discrete" and include topics in algebra, probability, and number theory. However, analysis plays an extremely strong role in unexpected ways. For example: An iterative system which builds successive approximations can be thought of as a sequence. So questions about how well that system works can be restated as questions about if the sequence has a limit, how quickly the sequence converges to that limit, and so on.<br />
<br />
''Algebra'': MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Analysis'': MATH 321-2, 421, 514, 521<br />
<br />
''Probability'': MATH 309, 431, 531, 535<br />
<br />
'' Number Theory'': MATH 467, 567<br />
<br />
Other areas of interest include combinatorics (MATH 475) and logic (MATH 571).<br />
<br />
Students should also aim to complete the standard introductory programming sequence: CS 300 and 400.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19394Named options2020-05-19T22:11:12Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to construct a course plan which works best for you.'''<br />
<br />
2) Note that course suggestions '''do not include prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of '''Statistics,''' '''Data Science,''' '''Actuarial Science''', '''Bio-Statistics''', and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471<br />
<br />
<br />
<br />
== MATHEMATICS FOR ECONOMICS AND FINANCE ==<br />
This option is inspired by interesting problems and applications in certain areas of business and economics (operations management, financial modeling, market behavior, and so on).<br />
<br />
The mathematics is built around analysis, which allows us to link together different mathematical areas. For example: the theory of differential equations, which we use to model systems in order to make specific predictions on outcomes, with the theory of probability, which we use to model systems which have a variety of unknown outcomes. In addition to these topics, we recommend a strong background in linear algebra .<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 443, 540<br />
<br />
''Differential Equations'': MATH 319, 320, 376, 415<br />
<br />
''Probability and Statistics'': MATH 309, 431, 310, 531<br />
<br />
''Analysis'':<br />
MATH 321-2 sequence, 421, 521(this is a required class for this program).<br />
<br />
''Introductory Econ/Finance Sequences'':<br />
Micro (ECON 301 or 311) and Macroeconomics (ECON 302 or 312) <br />
<br />
or<br />
<br />
FIN 300 and 320</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19393Named options2020-05-19T19:52:42Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to decide what plan works best for you.'''<br />
<br />
2) Note that course suggestions '''do not include prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of '''Statistics,''' '''Data Science,''' '''Actuarial Science''', '''Bio-Statistics''', and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION ==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': MATH 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19392Named options2020-05-19T19:49:41Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to decide what plan works best for you.'''<br />
<br />
2) Note that course suggestions '''do not include prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of '''Statistics,''' '''Data Science,''' '''Actuarial Science''', '''Bio-Statistics''', and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202<br />
<br />
<br />
== MATHEMATICS FOR SECONDARY EDUCATION<br />
==<br />
<br />
This option is designed with input from our own School of Education to cover all core areas of mathematics expected of a secondary instructor in the context of a mathematics major.<br />
<br />
''Linear Algebra'': <br />
MATH 320, 340, 341, 375<br />
<br />
''Analysis'': Math 421, 521<br />
<br />
''Algebra'':<br />
MATH 540, 541<br />
<br />
''Probability/Combinatorics'':<br />
MATH 309, 431, 475, 531<br />
<br />
''Statistics'':<br />
STAT 301, 302, 312, 324, MATH 310, ECON 310<br />
<br />
''History of Mathematics'':<br />
MATH 473<br />
<br />
''Geometry'':<br />
MATH 461<br />
<br />
''Capstone'':<br />
MATH 471</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19391Named options2020-05-18T19:00:06Z<p>Hanhart: </p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to decide what plan works best for you.'''<br />
<br />
2) Note that course suggestions '''do not include prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of '''Statistics,''' '''Data Science,''' '''Actuarial Science''', '''Bio-Statistics''', and many others.<br />
<br />
Students interested in this option should choose coursework focused on linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra'':<br />
MATH 320, 340, 341, 375, 540<br />
<br />
''Probability'':<br />
MATH 309, 431, 531, 535<br />
<br />
''Statistics'':<br />
MATH 310<br />
<br />
''Analysis'':<br />
MATH 321 and 322, 421, 521<br />
<br />
''Numerical Methods'':<br />
MATH 514<br />
<br />
''Data/Risk/Stat Core'':<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)<br />
<br />
<br />
== MATHEMATICS FOR THE PHYSICAL AND BIOLOGICAL SCIENCES ==<br />
Mathematics and the natural sciences have had a long and fruitful relationship since the dawn of humanity. This named option may be of interest to any mathematics student with a strong interest in physics, chemistry, biology, and most areas of engineering.<br />
<br />
Students interested in this named option should focus on linear algebra, differential equations, geometry, and analysis.<br />
<br />
''Linear Algebra and Algebra'':<br />
MATH 320, 340, 341, 375, 540, 541<br />
<br />
''Differential Equations'':<br />
MATH 319, 320, 376, 519, 619<br />
<br />
''Geometry and Topology'':<br />
MATH 551, 561<br />
<br />
''Real and Complex Analysis'':<br />
MATH 321 and 322, 421, 514, 521, 623<br />
<br />
''Other topics'':<br />
MATH 531<br />
<br />
''Core Natural Science'':<br />
Physics 247/207/201/EMA 201 and Physics 248/208/202</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Named_options&diff=19390Named options2020-05-18T18:41:41Z<p>Hanhart: Created page with "The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particula..."</p>
<hr />
<div>The '''Mathematics Major''' offers a variety of '''Named Options''' which allow a major to focus on those topics in mathematics which have a strong relationship to a particular other area of study. This page describes those options and highlights topics and courses worthy of special consideration.<br />
<br />
NOTES:<br />
<br />
1) Be aware that the below describes initial collections of courses and ideas worth considering which fulfill major requirements. '''Please refer to the guide for all possible courses which can be applied to your named option plan and meet with an advisor in order to decide what plan works best for you.'''<br />
<br />
2) Note that course suggestions '''do not include prerequisites'''.<br />
<br />
3) Courses offered by departments/schools besides mathematics may have '''restricted enrollment'''.<br />
<br />
<br />
== MATHEMATICS FOR DATA, STATISTICS, AND RISK ANALYSIS ==<br />
For students interested in mathematics inspired by or used in the fields of '''Statistics,''' '''Data Science,''' '''Actuarial Science''', '''Bio-Statistics''', and many others. This option focuses coursework in linear algebra, probability, statistics, analysis, and computational mathematics.<br />
<br />
''Linear Algebra''<br />
MATH 320, 340, 341, or 375<br />
<br />
''Probability''<br />
MATH 309, 431, 531<br />
<br />
''Statistics''<br />
MATH 310<br />
<br />
''Intermediate Courses''<br />
MATH 321 and 322, MATH 341, MATH 375, MATH 421<br />
<br />
''Advanced Courses''<br />
MATH 514, 521, 531, 535, 540<br />
<br />
''Data/Risk/Stat Core''<br />
ACT SCI 303 or <br />
(STAT 333 and STAT 424) or<br />
(STAT 340 and STAT 424)</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Math_Major_GPA_Requirements&diff=17280Math Major GPA Requirements2019-04-04T16:19:33Z<p>Hanhart: /* Short FAQ */</p>
<hr />
<div><br />
The ''Quality of Work'' requirement for completing the mathematics major program contains two GPA requirements. This page describes these requirements including which courses are considered when computing the gpa and which courses are not.<br />
<br />
== 2.000 GPA in all MAJOR/SUBJECT courses ==<br />
This gpa requirement uses '''every''' course a student takes which is taught by the math department or crosslisted with mathematics regardless of level or number. For option 2 (focused program) majors it will also include application courses offered outside of mathematics which are approved for that student's program. Note that even math courses which cannot be used to fulfill course requirements in student's major program will be used to compute this gpa. For example, Math 211 will not fulfill a major requirement, but if a student were to take that class it would be used to compute this GPA.<br />
<br />
== 2.000 GPA on 15 UPPER LEVEL Major credits ==<br />
Upper level major credits are any mathematics course (or crosslisted course) numbered '''above 306'''. For option 2 (focused program) majors it may include courses offered by other departments which were approved as part of that student's program (depending on which level the home department uses). Note that even math courses which cannot be used to fulfill course requirements in student's major program will be used to compute this gpa if it is numbered above 306 (for example, math 473).<br />
<br />
<br />
== Short FAQ ==<br />
'''A student can use at most one of math 320, 340, 341, or 375 to fulfill major course requirements. If a student takes more than one of these, will it effect their GPA?''' Yes. All instances would be used in both gpa computations.<br />
<br />
'''A student failed a course, can he retake it and improve his gpa?''' Yes. But both the F and the new grade will be used in the computation. For example, a student fails math 340 then takes it again and gets an A. In this case both classes taken together would be a 2.0 GPA in 6 credits.<br />
<br />
'''A student passes a class (with a D or better). If she retakes the class can she improve her GPA?''' No. Only the initial instance of a passed class will be used in GPA computations. Note that it might still be a good idea to retake a class for future benefit, but as far as the gpa computations go it would be as if the class was never taken again.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Math_Major_GPA_Requirements&diff=17279Math Major GPA Requirements2019-04-04T16:19:15Z<p>Hanhart: </p>
<hr />
<div><br />
The ''Quality of Work'' requirement for completing the mathematics major program contains two GPA requirements. This page describes these requirements including which courses are considered when computing the gpa and which courses are not.<br />
<br />
== 2.000 GPA in all MAJOR/SUBJECT courses ==<br />
This gpa requirement uses '''every''' course a student takes which is taught by the math department or crosslisted with mathematics regardless of level or number. For option 2 (focused program) majors it will also include application courses offered outside of mathematics which are approved for that student's program. Note that even math courses which cannot be used to fulfill course requirements in student's major program will be used to compute this gpa. For example, Math 211 will not fulfill a major requirement, but if a student were to take that class it would be used to compute this GPA.<br />
<br />
== 2.000 GPA on 15 UPPER LEVEL Major credits ==<br />
Upper level major credits are any mathematics course (or crosslisted course) numbered '''above 306'''. For option 2 (focused program) majors it may include courses offered by other departments which were approved as part of that student's program (depending on which level the home department uses). Note that even math courses which cannot be used to fulfill course requirements in student's major program will be used to compute this gpa if it is numbered above 306 (for example, math 473).<br />
<br />
<br />
== Short FAQ ==<br />
'''A student can use at most one of math 320, 340, 341, or 375 to fulfill major course requirements. If a student takes more than one of these, will it effect their GPA?''' Yes. Both all instances would be used in both gpa computations.<br />
<br />
'''A student failed a course, can he retake it and improve his gpa?''' Yes. But both the F and the new grade will be used in the computation. For example, a student fails math 340 then takes it again and gets an A. In this case both classes taken together would be a 2.0 GPA in 6 credits.<br />
<br />
'''A student passes a class (with a D or better). If she retakes the class can she improve her GPA?''' No. Only the initial instance of a passed class will be used in GPA computations. Note that it might still be a good idea to retake a class for future benefit, but as far as the gpa computations go it would be as if the class was never taken again.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Math_Major_GPA_Requirements&diff=17278Math Major GPA Requirements2019-04-04T16:00:29Z<p>Hanhart: </p>
<hr />
<div><br />
The ''Quality of Work'' requirement for completing the mathematics major program contains two GPA requirements. This page describes these requirements including which courses are considered when computing the gpa and which courses are not.<br />
<br />
== 2.000 GPA in all MAJOR/SUBJECT courses ==<br />
<br />
This gpa requirement uses every course a student takes which is taught by the math department or crosslisted with mathematics regardless of level or number. For option 2 (focused program) majors it will also include application courses offered outside of mathematics which are approved for that student's program. Note that even math courses which are not required for a students major program will be used to compute this gpa. For example, Math 240 will not fulfill a major requirement, but if a student were to take that class it would be used to compute this GPA.<br />
<br />
<br />
== 2.000 GPA on 15 UPPER LEVEL Major credits in RESIDENCE ==</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Math_Major_GPA_Requirements&diff=17277Math Major GPA Requirements2019-04-04T15:52:25Z<p>Hanhart: </p>
<hr />
<div><br />
There are several GPA requirements necessary to complete a mathematics major. These are part of the ''quality of work'' in the major description.<br />
<br />
== Headline text ==</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Math_Major_GPA_Requirements&diff=17276Math Major GPA Requirements2019-04-04T15:52:12Z<p>Hanhart: Created page with " There are several GPA requirements necessary to complete a mathematics major. These are part of the ``quality of work'' in the major description. == Headline text =="</p>
<hr />
<div><br />
There are several GPA requirements necessary to complete a mathematics major. These are part of the ``quality of work'' in the major description.<br />
<br />
== Headline text ==</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Option_2_packages&diff=17138Option 2 packages2019-03-11T20:48:25Z<p>Hanhart: </p>
<hr />
<div>The '''Option 2 math major''' requires six math courses and four courses in an area of focus. These four courses are required to have a certain mathematical content. The selection of the four courses, together with the six required math courses must be approved by the student's advisor. This page lists some sample course collections in several popular areas.<br />
<br />
NOTES: <br />
<br />
1) '''These course collections do not include course prerequisites.''' For example, math 310 has stats 302 as a prerequisite. But stat 302 cannot be used as a focus or major course.<br />
<br />
2) '''Courses offered by departments/schools/colleges outside of mathematics may have restricted enrollments.''' For example, an L&S student interested in an option 2 program with finance emphasis may not reliably be able to enroll in fin 300 since it is taught by Business.<br />
<br />
== Economics and Business ==<br />
<br />
=== Actuarial Mathematics ===<br />
Actuaries use techniques in mathematics and statistics to evaluate risk in a variety of areas including insurance, finance, healthcare, and even criminal justice. In recent history the field has been revolutionized by advances in the theory of probability and the ability to access, store, and process very large data sets.<br />
<br />
Professional actuaries are currently in demand, have lucrative pay, and is a growth field [http://www.bls.gov/ooh/math/actuaries.htm]. Similar to some other fields (law, accounting, etc.) there are professional organizations which administer a series of examinations [http://www.beanactuary.org/exams/]. Oftentimes students complete some of these examinations before graduating which allows them to move right into a career (Note: these exams are not required for graduation).<br />
<br />
Students who are interested in actuarial mathematics should consider coursework in probability, statistics, analysis, as well as computational mathematics.<br />
<br />
'''Application Courses'''<br />
* Act Sci 303<br />
<br />
* Act. Sci 650 and 652<br />
<br />
* Act. Sci. 651 or 653<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521. <br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
** Has the prerequisite: one of the probability courses mentioned above AND an elementary stats class (Stat 302 is recommended).<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Linear Programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
'''Additional Courses to Consider'''<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
<br />
'''Also:''' Students interested in the areas of mathematics with applications to actuarial science might consider the following as well:<br />
<br />
* Advanced courses offered by the [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Department of Statistics].<br />
<br />
* A [http://bus.wisc.edu/knowledge-expertise/academic-departments/actuarial-science-risk-management-insurance program] offered by the UW-Madison School of Business.<br />
<br />
=== Business ===<br />
Applications of mathematics to business is often referred to as Operations Research or Management Science. Specifically, the goal is to use mathematics to make the best decisions in a variety of areas: searching, routing, scheduling, transport, etc.<br />
<br />
The modern version of the field grew out of the work mathematicians did in order to aid the Allied war effort during world war II.[http://www.history.army.mil/html/books/hist_op_research/CMH_70-102-1.pdf] Since then, the field has grown into a robust and active area of research and scholarship including several journals and professional organizations.[http://www.informs.org/]<br />
<br />
Students interested in applications of mathematics to business can find many employment opportunities in private corporations, government agencies, nonprofit enterprises, and more. Students can also move onto postgraduate programs in mathematics or business.<br />
<br />
'''Application Courses'''<br />
* Linear programming and Optimization: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Note that this course cannot also be used as a core math course.<br />
* Operations Research: OTM 410<br />
* At least two from the following: Gen Bus 306, Gen Bus 307; OTM 451, 411, 633, 654<br />
** Note that OTM 633 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/111 Math/Stat 310]<br />
<br />
* Computational Mathematics: [https://www.math.wisc.edu/514-numerical-analysis Math 514] or [http://www.math.wisc.edu/513-numerical-linear-algebra 513]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastics: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics.<br />
* [http://www.math.wisc.edu/633-queueing-theory-and-stochastic-modeling Math 633].<br />
<br />
'''Also:''' Consider a program in the UW-Madison [http://bus.wisc.edu/bba/academics-and-programs/majors/operations-technology-management School of Business].<br />
<br />
=== Economics ===<br />
Economics is perhaps the most mathematical of the social sciences. Specifically economists wish to model and understand the behavior of individuals (people, countries, animals, etc.). Typically this is done by quantifying some elements of interest to the individuals.<br />
<br />
Due to the quantitative nature of the field, economic theory has begun to move from the classic areas of markets, products, supply, demand, etc. and into many seemingly unrelated areas: law, psychology, political science, biology, and more.[http://en.wikipedia.org/wiki/Economics_imperialism]<br />
<br />
Regardless, the backbone of economics and economic theory is mathematics. The classical area of mathematics most often related with economics is analysis. <br />
<br />
'''Application Courses'''<br />
* Microeconomics: Econ 301 or 311.<br />
* Macroeconomics: Econ 302 or 312.<br />
* Economic Electives: At least two courses from Econ 410, 460, 475, 503, 521, 525, and 666; Math 310 and Math 415.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Linear programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in the [http://www.econ.wisc.edu/undergrad/Reqs%20for%20Major.html Department of Economics].<br />
<br />
=== Finance ===<br />
Financial mathematics is more popular than ever with financial firms hiring "quants" from all areas of mathematics and the natural sciences. Financial markets are of interest to mathematicians due to the difficult nature of modeling the complex systems. The standard tools involved are evolutionary differential equations, measure theory, and stochastic calculus.<br />
<br />
'''Application Courses'''<br />
* Statistics: Econ 410 or Math/Stat 310.<br />
* Finance core: Finance 300, 320, 330.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Mat 619].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522] and [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Linear Programming (optimization): [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in [http://bus.wisc.edu/bba/academics-and-programs/majors/finance Finance] at the the Wisconsin School of Business.<br />
<br />
== Physical Sciences ==<br />
The physical sciences and mathematics have grown hand-in-hand since antiquity.<br />
Students with strong backgrounds in mathematics who are also interested in a branch of the physical sciences can find opportunities in laboratories, engineering firms, education, finance, law, business, and medicine. Those with very strong academic records can find themselves as preferred candidates for graduate study in their choice of field.<br />
<br />
The following sample programs in mathematics have strong relationships with a particular area of interest in the natural sciences.<br />
<br />
=== Atmospheric & Oceanic Sciences ===<br />
Weather and climate is determined by the interaction between two thin layers which cover the planet: The oceans and the atmosphere. Understanding how these two fluids act and interact allow humans to describe historical climate trends, forecast near future weather with incredible accuracy, and hopefully describe long term climate change which will affect the future of human society.<br />
<br />
A student interested in atmospheric and oceanic studies who has a strong mathematics background can find a career working in local, national, and international meteorological laboratories. These include private scientific consulting businesses as well as public enterprises. Students interested in graduate study could find their future studies supported by the National Science Foundation, the Department of Energy, NASA, or others [http://www.nsf.gov/funding/]. There is a large amount of funding available in the area due to the relevance research findings have on energy and economic policy.<br />
<br />
Mathematicians who work in Atmospheric and oceanic studies are drawn to the complexities of the problems and the variety of methods in both pure and applied mathematics which can be brought to bear on them. Students should take coursework in methods of applied mathematics, differential equations, computational mathematics, and differential geometry and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* ATM OCN 310, 311, and 330 [http://www.aos.wisc.edu/education/Syllabus/courses_majors.html]<br />
** 310 and 330 have Physics 208/248 as a prerequisite.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322]<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619]<br />
<br />
'''Also:''' Students who are interested in this area might consider <br />
* A program offered by the [http://www.aos.wisc.edu/education/undergrad_program.htm Department of Atmospheric and Oceanic Sciences].<br />
* The [http://www.math.wisc.edu/amep AMEP] program.<br />
<br />
=== Chemistry ===<br />
The applications of mathematics to chemistry range from the mundane: Ratios for chemical reactants; to the esoteric: Computational methods in quantum chemistry. Research in this latter topic lead to a Nobel Prize in Chemistry to mathematician [http://www.nobelprize.org/nobel_prizes/chemistry/laureates/1998/index.html John Pople].<br />
<br />
All areas of pure and applied mathematics have applications in modern chemistry. The most accessible track features coursework focusing on applied analysis and computational math. Students with a strong interest in theoretical mathematics should also consider modern algebra (for group theory) and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* Analytical Chemistry: Chem 327 or Chem 329[http://www.chem.wisc.edu/content/courses]<br />
** Prerequisite: Chem 104 or 109 <br />
* Physical Chemistry: Chem 561 and 562<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 320 recommended.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Math 513 or 514 suggested.<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Several higher level courses have connections to theoretical chemistry: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
** Any of these courses are acceptable in lieu of the 500 level courses above.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.chem.wisc.edu/content/undergraduate Department of Chemistry].<br />
<br />
=== Physics ===<br />
Perhaps the subject with the strongest historical ties with mathematics is physics. Certainly some of the great physical theories have been based on novel applications of mathematical theory or the invention of new subjects in the field: Newtonian mechanics and calculus, relativity and Riemannian geometry, quantum theory and functional analysis, etc.<br />
<br />
Nearly all mathematics courses offered here at UW Madison will have some applications to physics. The following is a collection of courses which would support general interest in physics.<br />
<br />
'''Application Courses'''<br />
* Mechanics, Electricity, and Magnetism: [http://www.physics.wisc.edu/academics/undergrads/inter-adv-311 Physics 311] and [http://www.physics.wisc.edu/academics/undergrads/inter-adv-322 Physics 322]<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 421 is suggested to prepare students for math 521.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. See suggested courses below.<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* ODEs: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
* PDEs: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619].<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541].<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
* Differential Geometry [http://www.math.wisc.edu/561-differential-geometry Math 561].<br />
* Complex Analysis: [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/514-numerical-analysis 514].<br />
<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
=== Astronomy ===<br />
The Astronomy package has the same mathematics core, but different suggested application courses:<br />
<br />
'''Application Courses'''<br />
* Astronomy core: Choose two courses from Astron 310, 320, or 335.<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. Suggested courses are: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses above the 500 level.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
== Biological Sciences ==<br />
Applications of mathematics to biology has undergone a recent boom. Historically, the biologist was perhaps most interested in applications of calculus, but now nearly any modern area of mathematical research has an application to some biological field[http://www.ams.org/notices/199509/hoppensteadt.pdf]. The following lists some possibilities.<br />
<br />
=== Bio-Informatics ===<br />
Bioinformatics is the application of computational methods to understand biological information. Of course the most interesting items of biological information is genetic and genomic information. Considering that the human genome has over three billion basepairs [http://www.genome.gov/12011238], it's no wonder that many mathematicians find compelling problems in the area to devote their time.<br />
<br />
Students with strong mathematical backgrounds who are interested in bioinformatics can find careers as a part of research teams in public and private laboratories across the world [http://www.bioinformatics.org/jobs/]. Moreover, many universities have established interdisciplinary graduate programs promoting this intersection of mathematics, biology, and computer science [http://ils.unc.edu/informatics_programs/doc/Bioinformatics_2006.html].<br />
<br />
Students interested in bioinformatics should have a strong background in computational mathematics and probability. Students should also have a strong programming background.<br />
<br />
'''Application Courses'''<br />
* Computer Science: CS 300 and CS 400 (or CS 302 and CS 367).<br />
* Bioinformatics: [http://www.biostat.wisc.edu/content/bmi-576-introduction-bioinformatics BMI/CS 576]<br />
* Genetics: Gen 466<br />
** Note that this class has a prerequisite of a year of chemistry and a year of biology coursework. Please contact the UW-Madison [http://www.genetics.wisc.edu/UndergraduateProgram.htm genetics] program for more information.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: At least three of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
<br />
'''Also''' <br />
* Consider a program in [http://www.cs.wisc.edu/academics/Undergraduate-Programs Computer Science] or [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
* Complete this major with a few additional courses if you are interested in medical school [http://prehealth.wisc.edu/explore/documents/Pre-Med.pdf].<br />
<br />
=== Bio-Statistics ===<br />
Biostatistics is the application of mathematical statistical methods to areas of biology. Historically, one could consider the field to have been founded by Gregor Mendel himself. He used basic principles of statistics and probability to offer a theory for which genetic traits would arise from cross hybridization of plants and animals. His work was forgotten for nearly fifty years before it was rediscovered and become an integral part of modern genetic theory.<br />
<br />
Beyond applications to genetics, applications of biostatistics range from public health policy to evaluating laboratory experimental results to tracking population dynamics in the field. Currently, health organizations consider there to be a shortage of trained biostatisticians[http://www.amstat.org/careers/biostatistics.cfm]. Students interested in this area should find excellent job prospects.<br />
<br />
Students interested in biostatistics should have strong backgrounds in probability, statistics, and computational methods.<br />
<br />
'''Application Courses'''<br />
* Statistics: Any four from Stat 333, 424, 575, 641, and 642 [http://www.stat.wisc.edu/course-listing]<br />
** Stat 333 has as a prerequisite some experience with statistical software. This can be achieved by also registering for Stat 327. Stat 327 is a single credit course which does not count for the mathematics major.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* More courses in computational mathematics listed above.<br />
* [http://www.math.wisc.edu/635-introduction-brownian-motion-and-stochastic-calculus Math 635]<br />
<br />
'''Also'''<br />
* Consider a program with [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Statistics] or in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences].<br />
* Compare this major program to requirements for Medical School.<br />
<br />
=== Ecology, Forestry, Wildlife Ecology ===<br />
Applications of advanced mathematics to ecology has resulted in science's improved ability to track wild animal populations, predict the spread of diseases, model the impact of humans on native wildlife, control invasive species, and more. Modeling in this area is mathematically interesting due to the variety of scales and the inherent difficulty of doing science outside of a laboratory! As such the methods of deterministic and stochastic models are particularly useful.<br />
<br />
'''Application Courses'''<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Computational Methods: [http://www.cs.wisc.edu/courses/412 CS 412].<br />
* Any two courses from [http://zoology.wisc.edu/courses/courselist.htm Zoo 460, 504, and 540]; or [http://forestandwildlifeecology.wisc.edu/undergraduate-study-courses F&W Ecol 300, 410, 460, 531, 652, and 655].<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Stochastic Processes: Either [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
=== Genetics ===<br />
Applications of mathematics in genetics appear on a wide range of scales: chemical processes, cellular processes, organism breeding, and speciation. For applications of mathematics in genetics on the scale of chemical processes you might want to examine the suggested packages for bioinformatics or structural biology. If instead you are interested in the larger scale of organisms you might consider the package in biostatistics or the one below:<br />
<br />
'''Application Courses'''<br />
* Any four courses chosen from: GEN 466, 564, 565, 626, 629, and BMI 563.[http://www.genetics.wisc.edu/UndergraduateProgram.htm]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended for non-honors students.<br />
<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
* Consider a program in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences] such as [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
<br />
=== Structural Biology ===<br />
Structural biologists are primarily interested in the large molecules which are involved in cellular processes: the fundamental chemical building blocks of life. The field lies on the intersection of biology, physics, chemistry, and mathematics and so structural biology is an exciting area of interdisciplinary research.<br />
<br />
In general, the mathematics involved in structural biology is focused on computational methods, probability, and statistics. Note that we offer a specialized course in Mathematics Methods in Structural Biology - Math 606.<br />
<br />
'''Application Courses'''<br />
* Analytical Methods in Chemistry: Chem 327 or 329<br />
* Physical Chemistry: Chem 561 and 562<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/mathematical-methods-structural-biology Math 606]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [https://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
=== Systems Biology ===<br />
Systems biology is the computational and mathematical modeling of biological systems at any scale. The classical example of this may be the [http://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equation predator-prey] model of differential equations which describe the relative population dynamics of two species. Other systems examples include disease transmission, chemical pathways, cellular processes, and more.<br />
<br />
In general, the mathematics involved in systems biology is focused on computational methods, dynamical systems, differential equations, the mathematics of networks, control theory, and others. Note that we offer a specialized course in Mathematical Methods in Systems Biology - Math 609.<br />
<br />
'''Application Courses'''<br />
* Organic Chemistry: Chem 341 or 343<br />
* Introductory Biochemistry: Biochem 501<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/609-mathematical-methods-systems-biology Math 609]<br />
* One Biochem elective: Any Biochem class numbered above 600. Suggested courses are Biochem 601, 612, 620, 621, 624, and 630.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
<br />
'''Additional Courses to Consider'''<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses in computational mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
== Engineering ==<br />
Engineering is the application of science and mathematics to the invention, improvement, and maintenance of anything and everything. As with many of the sciences, engineers and mathematicians have a symbiotic relationship: Engineers use mathematics to make new things; the new things exhibit novel properties that are mathematically interesting.<br />
<br />
In general all of mathematics can be applied to some field of engineering. However the programs offered below are not substitutes for engineering degrees. That is, student who are interested in an engineering career upon completion of their undergraduate degree should probably enroll in one of the engineering programs offered by the [http://www.engr.wisc.edu/current/undergrad.html College of Engineering]. Similarly, students who are primarily interested in mathematics might instead choose an option I major and concentrate their upper level coursework in applied mathematics. Students who are truly interested in both areas should consider the degree program in [http://www.math.wisc.edu/amep Applied Mathematics, Engineering, and Physics].<br />
<br />
So who do the programs below serve? They serve engineering students who wish to take a second major in mathematics. In general such students are excellent candidates for graduate study in engineering.<br />
<br />
=== Chemical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Chemical Engineering who are interested in pursuing a second major in mathematics.<br />
<br />
'''Application Courses'''<br />
* [http://www.engr.wisc.edu/cmsdocuments/cbe-undergrade-handbook-2009-v7.pdf CBE 320, 326, 426, 470]<br />
** Note: All of these course are required for the undergraduate program in chemical engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), complex analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]), and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
=== Civil Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Civil and Environmental Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Fluid Mechanics and Structural Analysis: [http://courses.engr.wisc.edu/cee/ CIV ENG 310, 311, 340]<br />
** Note: All of these course are required for the undergraduate program in civil engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective Structural Analysis Course: CIV ENG 440, 442, 445, or 447.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]); and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], and [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
=== Electrical and Computer Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Computer and Electrical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core ECE: [http://courses.engr.wisc.edu/ece/ ECE 220, 230, 352]<br />
** Note: All of these course are required for the undergraduate program in electrical and computer engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective: ECE 435, 525, or 533.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
** ECE 435 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* At least two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), linear programming [http://www.math.wisc.edu/525-linear-programming-methods Math 525], modern algebra [http://www.math.wisc.edu/541-modern-algebra Math 541], differential geometry [http://www.math.wisc.edu/561-differential-geometry Math 561], and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
* Error correcting codes: [http://www.math.wisc.edu/641-introduction-error-correcting-codes Math 641]<br />
<br />
===Engineering Mechanics and Astronautics===<br />
The following program details an option 2 package for students in the College of Engineering program in Engineering Mechanics and Astronautics who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Engineering Mechanics: [http://courses.engr.wisc.edu/ema/ EMA 201, 202, 303]<br />
* One elective: EMA 521, 542, 545, or 563<br />
** All of the above courses may be used to satisfy the EMA program requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525]), and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
<br />
=== Industrial Engineering ===<br />
Industrial engineering is the application of engineering principles to create the most effective means of production. In particular, they work to optimize complex systems.<br />
<br />
'''Application Courses[http://www.engr.wisc.edu/isye/isye-curriculum-documents.html]'''<br />
* Core Industrial engineering: I SY E 315, 320, and 323.<br />
* Industrial Engineering Elective: At least one of I SY E 425, 516, 525, 526, 558, 575, 615, 620, 624, 635, or 643.<br />
** Note: ISYE 425 and 525 are both crosslisted with math and cannot be used to complete both the application and core math requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Both 309 and 431 are preferred over stat 311.<br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Numerical Analysis: [http://www.math.wisc.edu/514-numerical-analysis Math 514].<br />
<br />
'''Also:'''<br />
Consider the program in [http://www.engr.wisc.edu/isye/isye-academics-undergraduate-program.html Industrial Engineering] offered by the College of Engineering.<br />
<br />
=== Materials Science ===<br />
The following program details an option 2 package for students in the College of Engineering program in Materials Science and Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Materials Courses: [http://www.engr.wisc.edu/cmsdocuments/Degree_requirements_2014.pdf MSE 330, 331, and 351]<br />
* One Engineering Elective: CBE 255, CS 300, CS 302, CS 310, ECE 230, ECE 376, EMA 303, Phys 321, Stat 424].<br />
** All of the above classes may be used to satisfy the program requirements for MS&E BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Mechanical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Mechanical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Mechanical Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/me-flowchart-spring-2014.pdf ME 340, 361, 363, 364]<br />
** All of the above courses are required by the Mechanical Engineering program.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Nuclear Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Nuclear Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Nuclear Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/NE-UGguide2014.pdf NE 305, 405, and 408]<br />
* One Engineering Elective: Physics 321 or 322, ECE 376, BME 501, or NE 411.<br />
** All of the above classes may be used to satisfy the program requirements for the Nuclear Engineering BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
* Additional courses above the 500 level listed above.<br />
<br />
== Computer Science ==<br />
Computer science as an independent discipline is rather young: The first computer science degree program offered in the United States was formed in 1962 (at Purdue University). Despite its youth, one could argue that no single academic discipline has had more of an effect on human society since the scientific revolution.<br />
<br />
Since computer science is foremost concerned with the theory of computation, its link with mathematics is robust. Historical examples include Alan Turing, A mathematician and WWII cryptoanalyst who's theory of the Universal Turing Machine forms the central framework of modern computation; and John Von Neumann, A mathematician who's name is ascribed to the architecture still used for nearly all computers today.[https://web.archive.org/web/20130314123032/http://qss.stanford.edu/~godfrey/vonNeumann/vnedvac.pdf] There are broad overlaps in reasearch in the two fields. For example, one of the most famous unsolved problems in mathematics, the [http://www.claymath.org/millenium-problems/p-vs-np-problem P vs NP] problem, is also considered an open problem in the theory of computation.<br />
<br />
Since computer science is a full field enveloping philosophy, mathematics, and engineering there are many possible areas of interest which a student of mathematics and computer science might focus on. Below are several examples.<br />
<br />
=== Computational Methods ===<br />
Computational methods are the algorithms a computer follows in order to perform a specific task. Of interest besides the algorithms is methods for evaluating their quality and efficiency. Since computational mathematics is on the interface between pure and applied methods students who concentrate in this area can find many exciting research opportunities available at the undergraduate level. <br />
<br />
The mathematical coursework focuses on combinatorics, analysis, and numerical methods. <br />
<br />
'''Application Courses'''<br />
* Any four courses from: CS 352, 367, 400, 412, 435, 475, 513, 514, 515, 520, 525, 533, 540, 545, 558, 559, and 577.<br />
** Note that 435, 475, 513, 514, 515, and 525 are crosslisted with math. They may not be used as both application courses and core mathematics courses<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Advanced Calculus [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] and/or [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics above.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Analysis II: [http://www.math.wisc.edu/522-advanced-calculus Math 522].<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542].<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567].<br />
* Logic: [http://www.math.wisc.edu/571-mathematical-logic Math 571].<br />
<br />
'''Also:'''<br />
Consider the program in the [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science].<br />
<br />
=== Theoretical Computer Science ===<br />
If you are interested in a more theoretical bend to your studies, follow the program above but with the following changes:<br />
* Include both CS 520 and CS 577 into your core applied courses.<br />
* Replace the two computational methods courses with Math 567 and Math 571.<br />
<br />
=== Cryptography ===<br />
Due to the widespread use of computer storage, platforms, and devices; security is now of singular interest. Students with expertise in the mathematics associated with cryptography can find interesting opportunities after graduation in public and private security sectors.<br />
<br />
The mathematics associated to secure messaging and cryptography is typically centered on combinatorics and number theory.<br />
<br />
'''Application Courses'''<br />
* Programming: CS 300 and CS 400 (or CS 302 and 367).<br />
* One of the following two pairs:<br />
** The CS track: Operating systems (CS 537) and Security (CS 642)<br />
** The ECE track: Digital Systems: (ECE 352) and Error Correcting Codes (ECE 641).<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Cryptography: [http://www.math.wisc.edu/435-introduction-cryptography Math 435]<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567]<br />
<br />
'''Additional Courses to Consider'''<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Also:'''<br />
Consider combining the programs offered by [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science] or [http://www.engr.wisc.edu/ece/ece-academics-undergraduate-program.html Computer Engineering].<br />
<br />
== Secondary Education ==<br />
The so called STEM fields continue to be a major area of interest and investment for education policy makers. In particular secondary education instructors with strong mathematics backgrounds are in demand across the nation in public, private, and charter school environments. <br />
<br />
The following program was designed for a math major who is interested in becoming an educator at the secondary level. Note that successful completion of the coursework outlined below would make a strong candidate for graduate work in mathematics and education at the masters level. Our own School of Education offers a [http://www.uwteach.com/mathematics.html Masters Degree in Secondary Mathematics] which concludes with state certification. <br />
<br />
''Note that a major requires at least two courses at the 500 level. Therefore you should consider the suggestions below carefully.''<br />
<br />
'''Application Courses'''<br />
* History and philosophy of mathematics: [http://www.math.wisc.edu/473-history-mathematics Math 473].<br />
* Math education capstone course: [http://www.math.wisc.edu/371-basic-concepts-mathematics Math 471]<br />
* Two additional courses from Mathematics, Computer Science, Physics, or Economics at the Intermediate or Advanced Level.<br />
** Suggested: CS 300, CS 302, Phys 207, Math 421, Math 475, Math 561, Math 567<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 (or Math 375) suggested.<br />
* College Geometry: [http://www.math.wisc.edu/461-college-geometry-i Math 461]. <br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] <br />
** Math 431 and 309 are equivalent. <br />
** [http://www.math.wisc.edu/531-probability-theory Math 531] can also be considered. This is a proof based introduction to probability and may be taken only after Math 421 or Math 521.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310] (Math 310 has a prerequisite of Math 309 or 431.)<br />
* Modern Algebra: [http://www.math.wisc.edu/441-introduction-modern-algebra Math 441] or [http://www.math.wisc.edu/541-modern-algebra 541].<br />
* Analysis: [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or [http://www.math.wisc.edu/521-advanced-calculus 521].<br />
** Math 521 is strongly suggested for students planning to teach AP Calculus in high school<br />
<br />
'''Additional Courses to Consider'''<br />
* Math 421 can be a useful course to take before the 500 level coursework.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Additional courses at the 500 level in mathematics.<br />
* Courses in computer programming, statistics, physics, economics, and finance can broaden your content areas and qualify you for more subjects.<br />
<br />
== Statistics ==<br />
Statistics is the study of the collection, measuring, and evaluation of data. Recent advances in our ability to collect and parse large amounts of data has made the field more exciting then ever before. Positions in data analysis are becoming common outside of laboratory environments: marketing, education, health, sports, infrastructure, politics, etc.<br />
<br />
Statistics has a strong relationship with mathematics. The areas of mathematics of particular interest are linear algebra, probability, and analysis.<br />
<br />
'''Application Courses'''<br />
* Core Statistics: Stat 333 and Stat 424<br />
* Statistics Electives: At least two from: Stat 349, 351, 411, 421, 456, 471, 609, or 610.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Mathematical Statistics Sequence: [http://www.math.wisc.edu/node/111 Math 309] and [http://www.math.wisc.edu/node/114 Math 310]<br />
** Math 431 may be used for Math 309.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522], [http://www.math.wisc.edu/621-analysis-iii-0 621], or [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Advanced Probability Theory [http://www.math.wisc.edu/531-probability-theory Math 531].<br />
* Algebra: [https://www.math.wisc.edu/541-modern-algebra Math 541].<br />
<br />
'''Also:'''<br />
A student who wishes to complete a major in statistics offered by the [https://www.stat.wisc.edu/undergrad/undergraduate-major-statistics Department of Statistics] should complete the program above and include:<br />
* Stat 302 and 327.<br />
* A course in programming (e.g. CS 300).<br />
* At least one more course from the statistics electives above.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Option_2_packages&diff=17137Option 2 packages2019-03-11T20:47:58Z<p>Hanhart: </p>
<hr />
<div>The '''Option 2 math major''' requires six math courses and four courses in an area of focus. These four courses are required to have a certain mathematical content. The selection of the four courses, together with the six required math courses must be approved by the student's advisor. This page lists some sample course collections in several popular areas.<br />
<br />
NOTES: <br />
1) '''These course collections do not include course prerequisites.''' For example, math 310 has stats 302 as a prerequisite. But stat 302 cannot be used as a focus or major course.<br />
2) '''Courses offered by departments/schools/colleges outside of mathematics may have restricted enrollments.''' For example, an L&S student interested in an option 2 program with finance emphasis may not reliably be able to enroll in fin 300 since it is taught by Business.<br />
<br />
== Economics and Business ==<br />
<br />
=== Actuarial Mathematics ===<br />
Actuaries use techniques in mathematics and statistics to evaluate risk in a variety of areas including insurance, finance, healthcare, and even criminal justice. In recent history the field has been revolutionized by advances in the theory of probability and the ability to access, store, and process very large data sets.<br />
<br />
Professional actuaries are currently in demand, have lucrative pay, and is a growth field [http://www.bls.gov/ooh/math/actuaries.htm]. Similar to some other fields (law, accounting, etc.) there are professional organizations which administer a series of examinations [http://www.beanactuary.org/exams/]. Oftentimes students complete some of these examinations before graduating which allows them to move right into a career (Note: these exams are not required for graduation).<br />
<br />
Students who are interested in actuarial mathematics should consider coursework in probability, statistics, analysis, as well as computational mathematics.<br />
<br />
'''Application Courses'''<br />
* Act Sci 303<br />
<br />
* Act. Sci 650 and 652<br />
<br />
* Act. Sci. 651 or 653<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521. <br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
** Has the prerequisite: one of the probability courses mentioned above AND an elementary stats class (Stat 302 is recommended).<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Linear Programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
'''Additional Courses to Consider'''<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
<br />
'''Also:''' Students interested in the areas of mathematics with applications to actuarial science might consider the following as well:<br />
<br />
* Advanced courses offered by the [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Department of Statistics].<br />
<br />
* A [http://bus.wisc.edu/knowledge-expertise/academic-departments/actuarial-science-risk-management-insurance program] offered by the UW-Madison School of Business.<br />
<br />
=== Business ===<br />
Applications of mathematics to business is often referred to as Operations Research or Management Science. Specifically, the goal is to use mathematics to make the best decisions in a variety of areas: searching, routing, scheduling, transport, etc.<br />
<br />
The modern version of the field grew out of the work mathematicians did in order to aid the Allied war effort during world war II.[http://www.history.army.mil/html/books/hist_op_research/CMH_70-102-1.pdf] Since then, the field has grown into a robust and active area of research and scholarship including several journals and professional organizations.[http://www.informs.org/]<br />
<br />
Students interested in applications of mathematics to business can find many employment opportunities in private corporations, government agencies, nonprofit enterprises, and more. Students can also move onto postgraduate programs in mathematics or business.<br />
<br />
'''Application Courses'''<br />
* Linear programming and Optimization: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Note that this course cannot also be used as a core math course.<br />
* Operations Research: OTM 410<br />
* At least two from the following: Gen Bus 306, Gen Bus 307; OTM 451, 411, 633, 654<br />
** Note that OTM 633 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/111 Math/Stat 310]<br />
<br />
* Computational Mathematics: [https://www.math.wisc.edu/514-numerical-analysis Math 514] or [http://www.math.wisc.edu/513-numerical-linear-algebra 513]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastics: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics.<br />
* [http://www.math.wisc.edu/633-queueing-theory-and-stochastic-modeling Math 633].<br />
<br />
'''Also:''' Consider a program in the UW-Madison [http://bus.wisc.edu/bba/academics-and-programs/majors/operations-technology-management School of Business].<br />
<br />
=== Economics ===<br />
Economics is perhaps the most mathematical of the social sciences. Specifically economists wish to model and understand the behavior of individuals (people, countries, animals, etc.). Typically this is done by quantifying some elements of interest to the individuals.<br />
<br />
Due to the quantitative nature of the field, economic theory has begun to move from the classic areas of markets, products, supply, demand, etc. and into many seemingly unrelated areas: law, psychology, political science, biology, and more.[http://en.wikipedia.org/wiki/Economics_imperialism]<br />
<br />
Regardless, the backbone of economics and economic theory is mathematics. The classical area of mathematics most often related with economics is analysis. <br />
<br />
'''Application Courses'''<br />
* Microeconomics: Econ 301 or 311.<br />
* Macroeconomics: Econ 302 or 312.<br />
* Economic Electives: At least two courses from Econ 410, 460, 475, 503, 521, 525, and 666; Math 310 and Math 415.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Linear programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in the [http://www.econ.wisc.edu/undergrad/Reqs%20for%20Major.html Department of Economics].<br />
<br />
=== Finance ===<br />
Financial mathematics is more popular than ever with financial firms hiring "quants" from all areas of mathematics and the natural sciences. Financial markets are of interest to mathematicians due to the difficult nature of modeling the complex systems. The standard tools involved are evolutionary differential equations, measure theory, and stochastic calculus.<br />
<br />
'''Application Courses'''<br />
* Statistics: Econ 410 or Math/Stat 310.<br />
* Finance core: Finance 300, 320, 330.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Mat 619].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522] and [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Linear Programming (optimization): [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in [http://bus.wisc.edu/bba/academics-and-programs/majors/finance Finance] at the the Wisconsin School of Business.<br />
<br />
== Physical Sciences ==<br />
The physical sciences and mathematics have grown hand-in-hand since antiquity.<br />
Students with strong backgrounds in mathematics who are also interested in a branch of the physical sciences can find opportunities in laboratories, engineering firms, education, finance, law, business, and medicine. Those with very strong academic records can find themselves as preferred candidates for graduate study in their choice of field.<br />
<br />
The following sample programs in mathematics have strong relationships with a particular area of interest in the natural sciences.<br />
<br />
=== Atmospheric & Oceanic Sciences ===<br />
Weather and climate is determined by the interaction between two thin layers which cover the planet: The oceans and the atmosphere. Understanding how these two fluids act and interact allow humans to describe historical climate trends, forecast near future weather with incredible accuracy, and hopefully describe long term climate change which will affect the future of human society.<br />
<br />
A student interested in atmospheric and oceanic studies who has a strong mathematics background can find a career working in local, national, and international meteorological laboratories. These include private scientific consulting businesses as well as public enterprises. Students interested in graduate study could find their future studies supported by the National Science Foundation, the Department of Energy, NASA, or others [http://www.nsf.gov/funding/]. There is a large amount of funding available in the area due to the relevance research findings have on energy and economic policy.<br />
<br />
Mathematicians who work in Atmospheric and oceanic studies are drawn to the complexities of the problems and the variety of methods in both pure and applied mathematics which can be brought to bear on them. Students should take coursework in methods of applied mathematics, differential equations, computational mathematics, and differential geometry and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* ATM OCN 310, 311, and 330 [http://www.aos.wisc.edu/education/Syllabus/courses_majors.html]<br />
** 310 and 330 have Physics 208/248 as a prerequisite.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322]<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619]<br />
<br />
'''Also:''' Students who are interested in this area might consider <br />
* A program offered by the [http://www.aos.wisc.edu/education/undergrad_program.htm Department of Atmospheric and Oceanic Sciences].<br />
* The [http://www.math.wisc.edu/amep AMEP] program.<br />
<br />
=== Chemistry ===<br />
The applications of mathematics to chemistry range from the mundane: Ratios for chemical reactants; to the esoteric: Computational methods in quantum chemistry. Research in this latter topic lead to a Nobel Prize in Chemistry to mathematician [http://www.nobelprize.org/nobel_prizes/chemistry/laureates/1998/index.html John Pople].<br />
<br />
All areas of pure and applied mathematics have applications in modern chemistry. The most accessible track features coursework focusing on applied analysis and computational math. Students with a strong interest in theoretical mathematics should also consider modern algebra (for group theory) and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* Analytical Chemistry: Chem 327 or Chem 329[http://www.chem.wisc.edu/content/courses]<br />
** Prerequisite: Chem 104 or 109 <br />
* Physical Chemistry: Chem 561 and 562<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 320 recommended.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Math 513 or 514 suggested.<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Several higher level courses have connections to theoretical chemistry: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
** Any of these courses are acceptable in lieu of the 500 level courses above.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.chem.wisc.edu/content/undergraduate Department of Chemistry].<br />
<br />
=== Physics ===<br />
Perhaps the subject with the strongest historical ties with mathematics is physics. Certainly some of the great physical theories have been based on novel applications of mathematical theory or the invention of new subjects in the field: Newtonian mechanics and calculus, relativity and Riemannian geometry, quantum theory and functional analysis, etc.<br />
<br />
Nearly all mathematics courses offered here at UW Madison will have some applications to physics. The following is a collection of courses which would support general interest in physics.<br />
<br />
'''Application Courses'''<br />
* Mechanics, Electricity, and Magnetism: [http://www.physics.wisc.edu/academics/undergrads/inter-adv-311 Physics 311] and [http://www.physics.wisc.edu/academics/undergrads/inter-adv-322 Physics 322]<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 421 is suggested to prepare students for math 521.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. See suggested courses below.<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* ODEs: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
* PDEs: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619].<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541].<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
* Differential Geometry [http://www.math.wisc.edu/561-differential-geometry Math 561].<br />
* Complex Analysis: [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/514-numerical-analysis 514].<br />
<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
=== Astronomy ===<br />
The Astronomy package has the same mathematics core, but different suggested application courses:<br />
<br />
'''Application Courses'''<br />
* Astronomy core: Choose two courses from Astron 310, 320, or 335.<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. Suggested courses are: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses above the 500 level.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
== Biological Sciences ==<br />
Applications of mathematics to biology has undergone a recent boom. Historically, the biologist was perhaps most interested in applications of calculus, but now nearly any modern area of mathematical research has an application to some biological field[http://www.ams.org/notices/199509/hoppensteadt.pdf]. The following lists some possibilities.<br />
<br />
=== Bio-Informatics ===<br />
Bioinformatics is the application of computational methods to understand biological information. Of course the most interesting items of biological information is genetic and genomic information. Considering that the human genome has over three billion basepairs [http://www.genome.gov/12011238], it's no wonder that many mathematicians find compelling problems in the area to devote their time.<br />
<br />
Students with strong mathematical backgrounds who are interested in bioinformatics can find careers as a part of research teams in public and private laboratories across the world [http://www.bioinformatics.org/jobs/]. Moreover, many universities have established interdisciplinary graduate programs promoting this intersection of mathematics, biology, and computer science [http://ils.unc.edu/informatics_programs/doc/Bioinformatics_2006.html].<br />
<br />
Students interested in bioinformatics should have a strong background in computational mathematics and probability. Students should also have a strong programming background.<br />
<br />
'''Application Courses'''<br />
* Computer Science: CS 300 and CS 400 (or CS 302 and CS 367).<br />
* Bioinformatics: [http://www.biostat.wisc.edu/content/bmi-576-introduction-bioinformatics BMI/CS 576]<br />
* Genetics: Gen 466<br />
** Note that this class has a prerequisite of a year of chemistry and a year of biology coursework. Please contact the UW-Madison [http://www.genetics.wisc.edu/UndergraduateProgram.htm genetics] program for more information.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: At least three of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
<br />
'''Also''' <br />
* Consider a program in [http://www.cs.wisc.edu/academics/Undergraduate-Programs Computer Science] or [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
* Complete this major with a few additional courses if you are interested in medical school [http://prehealth.wisc.edu/explore/documents/Pre-Med.pdf].<br />
<br />
=== Bio-Statistics ===<br />
Biostatistics is the application of mathematical statistical methods to areas of biology. Historically, one could consider the field to have been founded by Gregor Mendel himself. He used basic principles of statistics and probability to offer a theory for which genetic traits would arise from cross hybridization of plants and animals. His work was forgotten for nearly fifty years before it was rediscovered and become an integral part of modern genetic theory.<br />
<br />
Beyond applications to genetics, applications of biostatistics range from public health policy to evaluating laboratory experimental results to tracking population dynamics in the field. Currently, health organizations consider there to be a shortage of trained biostatisticians[http://www.amstat.org/careers/biostatistics.cfm]. Students interested in this area should find excellent job prospects.<br />
<br />
Students interested in biostatistics should have strong backgrounds in probability, statistics, and computational methods.<br />
<br />
'''Application Courses'''<br />
* Statistics: Any four from Stat 333, 424, 575, 641, and 642 [http://www.stat.wisc.edu/course-listing]<br />
** Stat 333 has as a prerequisite some experience with statistical software. This can be achieved by also registering for Stat 327. Stat 327 is a single credit course which does not count for the mathematics major.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* More courses in computational mathematics listed above.<br />
* [http://www.math.wisc.edu/635-introduction-brownian-motion-and-stochastic-calculus Math 635]<br />
<br />
'''Also'''<br />
* Consider a program with [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Statistics] or in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences].<br />
* Compare this major program to requirements for Medical School.<br />
<br />
=== Ecology, Forestry, Wildlife Ecology ===<br />
Applications of advanced mathematics to ecology has resulted in science's improved ability to track wild animal populations, predict the spread of diseases, model the impact of humans on native wildlife, control invasive species, and more. Modeling in this area is mathematically interesting due to the variety of scales and the inherent difficulty of doing science outside of a laboratory! As such the methods of deterministic and stochastic models are particularly useful.<br />
<br />
'''Application Courses'''<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Computational Methods: [http://www.cs.wisc.edu/courses/412 CS 412].<br />
* Any two courses from [http://zoology.wisc.edu/courses/courselist.htm Zoo 460, 504, and 540]; or [http://forestandwildlifeecology.wisc.edu/undergraduate-study-courses F&W Ecol 300, 410, 460, 531, 652, and 655].<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Stochastic Processes: Either [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
=== Genetics ===<br />
Applications of mathematics in genetics appear on a wide range of scales: chemical processes, cellular processes, organism breeding, and speciation. For applications of mathematics in genetics on the scale of chemical processes you might want to examine the suggested packages for bioinformatics or structural biology. If instead you are interested in the larger scale of organisms you might consider the package in biostatistics or the one below:<br />
<br />
'''Application Courses'''<br />
* Any four courses chosen from: GEN 466, 564, 565, 626, 629, and BMI 563.[http://www.genetics.wisc.edu/UndergraduateProgram.htm]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended for non-honors students.<br />
<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
* Consider a program in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences] such as [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
<br />
=== Structural Biology ===<br />
Structural biologists are primarily interested in the large molecules which are involved in cellular processes: the fundamental chemical building blocks of life. The field lies on the intersection of biology, physics, chemistry, and mathematics and so structural biology is an exciting area of interdisciplinary research.<br />
<br />
In general, the mathematics involved in structural biology is focused on computational methods, probability, and statistics. Note that we offer a specialized course in Mathematics Methods in Structural Biology - Math 606.<br />
<br />
'''Application Courses'''<br />
* Analytical Methods in Chemistry: Chem 327 or 329<br />
* Physical Chemistry: Chem 561 and 562<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/mathematical-methods-structural-biology Math 606]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [https://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
=== Systems Biology ===<br />
Systems biology is the computational and mathematical modeling of biological systems at any scale. The classical example of this may be the [http://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equation predator-prey] model of differential equations which describe the relative population dynamics of two species. Other systems examples include disease transmission, chemical pathways, cellular processes, and more.<br />
<br />
In general, the mathematics involved in systems biology is focused on computational methods, dynamical systems, differential equations, the mathematics of networks, control theory, and others. Note that we offer a specialized course in Mathematical Methods in Systems Biology - Math 609.<br />
<br />
'''Application Courses'''<br />
* Organic Chemistry: Chem 341 or 343<br />
* Introductory Biochemistry: Biochem 501<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/609-mathematical-methods-systems-biology Math 609]<br />
* One Biochem elective: Any Biochem class numbered above 600. Suggested courses are Biochem 601, 612, 620, 621, 624, and 630.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
<br />
'''Additional Courses to Consider'''<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses in computational mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
== Engineering ==<br />
Engineering is the application of science and mathematics to the invention, improvement, and maintenance of anything and everything. As with many of the sciences, engineers and mathematicians have a symbiotic relationship: Engineers use mathematics to make new things; the new things exhibit novel properties that are mathematically interesting.<br />
<br />
In general all of mathematics can be applied to some field of engineering. However the programs offered below are not substitutes for engineering degrees. That is, student who are interested in an engineering career upon completion of their undergraduate degree should probably enroll in one of the engineering programs offered by the [http://www.engr.wisc.edu/current/undergrad.html College of Engineering]. Similarly, students who are primarily interested in mathematics might instead choose an option I major and concentrate their upper level coursework in applied mathematics. Students who are truly interested in both areas should consider the degree program in [http://www.math.wisc.edu/amep Applied Mathematics, Engineering, and Physics].<br />
<br />
So who do the programs below serve? They serve engineering students who wish to take a second major in mathematics. In general such students are excellent candidates for graduate study in engineering.<br />
<br />
=== Chemical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Chemical Engineering who are interested in pursuing a second major in mathematics.<br />
<br />
'''Application Courses'''<br />
* [http://www.engr.wisc.edu/cmsdocuments/cbe-undergrade-handbook-2009-v7.pdf CBE 320, 326, 426, 470]<br />
** Note: All of these course are required for the undergraduate program in chemical engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), complex analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]), and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
=== Civil Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Civil and Environmental Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Fluid Mechanics and Structural Analysis: [http://courses.engr.wisc.edu/cee/ CIV ENG 310, 311, 340]<br />
** Note: All of these course are required for the undergraduate program in civil engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective Structural Analysis Course: CIV ENG 440, 442, 445, or 447.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]); and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], and [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
=== Electrical and Computer Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Computer and Electrical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core ECE: [http://courses.engr.wisc.edu/ece/ ECE 220, 230, 352]<br />
** Note: All of these course are required for the undergraduate program in electrical and computer engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective: ECE 435, 525, or 533.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
** ECE 435 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* At least two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), linear programming [http://www.math.wisc.edu/525-linear-programming-methods Math 525], modern algebra [http://www.math.wisc.edu/541-modern-algebra Math 541], differential geometry [http://www.math.wisc.edu/561-differential-geometry Math 561], and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
* Error correcting codes: [http://www.math.wisc.edu/641-introduction-error-correcting-codes Math 641]<br />
<br />
===Engineering Mechanics and Astronautics===<br />
The following program details an option 2 package for students in the College of Engineering program in Engineering Mechanics and Astronautics who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Engineering Mechanics: [http://courses.engr.wisc.edu/ema/ EMA 201, 202, 303]<br />
* One elective: EMA 521, 542, 545, or 563<br />
** All of the above courses may be used to satisfy the EMA program requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525]), and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
<br />
=== Industrial Engineering ===<br />
Industrial engineering is the application of engineering principles to create the most effective means of production. In particular, they work to optimize complex systems.<br />
<br />
'''Application Courses[http://www.engr.wisc.edu/isye/isye-curriculum-documents.html]'''<br />
* Core Industrial engineering: I SY E 315, 320, and 323.<br />
* Industrial Engineering Elective: At least one of I SY E 425, 516, 525, 526, 558, 575, 615, 620, 624, 635, or 643.<br />
** Note: ISYE 425 and 525 are both crosslisted with math and cannot be used to complete both the application and core math requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Both 309 and 431 are preferred over stat 311.<br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Numerical Analysis: [http://www.math.wisc.edu/514-numerical-analysis Math 514].<br />
<br />
'''Also:'''<br />
Consider the program in [http://www.engr.wisc.edu/isye/isye-academics-undergraduate-program.html Industrial Engineering] offered by the College of Engineering.<br />
<br />
=== Materials Science ===<br />
The following program details an option 2 package for students in the College of Engineering program in Materials Science and Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Materials Courses: [http://www.engr.wisc.edu/cmsdocuments/Degree_requirements_2014.pdf MSE 330, 331, and 351]<br />
* One Engineering Elective: CBE 255, CS 300, CS 302, CS 310, ECE 230, ECE 376, EMA 303, Phys 321, Stat 424].<br />
** All of the above classes may be used to satisfy the program requirements for MS&E BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Mechanical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Mechanical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Mechanical Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/me-flowchart-spring-2014.pdf ME 340, 361, 363, 364]<br />
** All of the above courses are required by the Mechanical Engineering program.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Nuclear Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Nuclear Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Nuclear Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/NE-UGguide2014.pdf NE 305, 405, and 408]<br />
* One Engineering Elective: Physics 321 or 322, ECE 376, BME 501, or NE 411.<br />
** All of the above classes may be used to satisfy the program requirements for the Nuclear Engineering BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
* Additional courses above the 500 level listed above.<br />
<br />
== Computer Science ==<br />
Computer science as an independent discipline is rather young: The first computer science degree program offered in the United States was formed in 1962 (at Purdue University). Despite its youth, one could argue that no single academic discipline has had more of an effect on human society since the scientific revolution.<br />
<br />
Since computer science is foremost concerned with the theory of computation, its link with mathematics is robust. Historical examples include Alan Turing, A mathematician and WWII cryptoanalyst who's theory of the Universal Turing Machine forms the central framework of modern computation; and John Von Neumann, A mathematician who's name is ascribed to the architecture still used for nearly all computers today.[https://web.archive.org/web/20130314123032/http://qss.stanford.edu/~godfrey/vonNeumann/vnedvac.pdf] There are broad overlaps in reasearch in the two fields. For example, one of the most famous unsolved problems in mathematics, the [http://www.claymath.org/millenium-problems/p-vs-np-problem P vs NP] problem, is also considered an open problem in the theory of computation.<br />
<br />
Since computer science is a full field enveloping philosophy, mathematics, and engineering there are many possible areas of interest which a student of mathematics and computer science might focus on. Below are several examples.<br />
<br />
=== Computational Methods ===<br />
Computational methods are the algorithms a computer follows in order to perform a specific task. Of interest besides the algorithms is methods for evaluating their quality and efficiency. Since computational mathematics is on the interface between pure and applied methods students who concentrate in this area can find many exciting research opportunities available at the undergraduate level. <br />
<br />
The mathematical coursework focuses on combinatorics, analysis, and numerical methods. <br />
<br />
'''Application Courses'''<br />
* Any four courses from: CS 352, 367, 400, 412, 435, 475, 513, 514, 515, 520, 525, 533, 540, 545, 558, 559, and 577.<br />
** Note that 435, 475, 513, 514, 515, and 525 are crosslisted with math. They may not be used as both application courses and core mathematics courses<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Advanced Calculus [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] and/or [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics above.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Analysis II: [http://www.math.wisc.edu/522-advanced-calculus Math 522].<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542].<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567].<br />
* Logic: [http://www.math.wisc.edu/571-mathematical-logic Math 571].<br />
<br />
'''Also:'''<br />
Consider the program in the [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science].<br />
<br />
=== Theoretical Computer Science ===<br />
If you are interested in a more theoretical bend to your studies, follow the program above but with the following changes:<br />
* Include both CS 520 and CS 577 into your core applied courses.<br />
* Replace the two computational methods courses with Math 567 and Math 571.<br />
<br />
=== Cryptography ===<br />
Due to the widespread use of computer storage, platforms, and devices; security is now of singular interest. Students with expertise in the mathematics associated with cryptography can find interesting opportunities after graduation in public and private security sectors.<br />
<br />
The mathematics associated to secure messaging and cryptography is typically centered on combinatorics and number theory.<br />
<br />
'''Application Courses'''<br />
* Programming: CS 300 and CS 400 (or CS 302 and 367).<br />
* One of the following two pairs:<br />
** The CS track: Operating systems (CS 537) and Security (CS 642)<br />
** The ECE track: Digital Systems: (ECE 352) and Error Correcting Codes (ECE 641).<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Cryptography: [http://www.math.wisc.edu/435-introduction-cryptography Math 435]<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567]<br />
<br />
'''Additional Courses to Consider'''<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Also:'''<br />
Consider combining the programs offered by [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science] or [http://www.engr.wisc.edu/ece/ece-academics-undergraduate-program.html Computer Engineering].<br />
<br />
== Secondary Education ==<br />
The so called STEM fields continue to be a major area of interest and investment for education policy makers. In particular secondary education instructors with strong mathematics backgrounds are in demand across the nation in public, private, and charter school environments. <br />
<br />
The following program was designed for a math major who is interested in becoming an educator at the secondary level. Note that successful completion of the coursework outlined below would make a strong candidate for graduate work in mathematics and education at the masters level. Our own School of Education offers a [http://www.uwteach.com/mathematics.html Masters Degree in Secondary Mathematics] which concludes with state certification. <br />
<br />
''Note that a major requires at least two courses at the 500 level. Therefore you should consider the suggestions below carefully.''<br />
<br />
'''Application Courses'''<br />
* History and philosophy of mathematics: [http://www.math.wisc.edu/473-history-mathematics Math 473].<br />
* Math education capstone course: [http://www.math.wisc.edu/371-basic-concepts-mathematics Math 471]<br />
* Two additional courses from Mathematics, Computer Science, Physics, or Economics at the Intermediate or Advanced Level.<br />
** Suggested: CS 300, CS 302, Phys 207, Math 421, Math 475, Math 561, Math 567<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 (or Math 375) suggested.<br />
* College Geometry: [http://www.math.wisc.edu/461-college-geometry-i Math 461]. <br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] <br />
** Math 431 and 309 are equivalent. <br />
** [http://www.math.wisc.edu/531-probability-theory Math 531] can also be considered. This is a proof based introduction to probability and may be taken only after Math 421 or Math 521.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310] (Math 310 has a prerequisite of Math 309 or 431.)<br />
* Modern Algebra: [http://www.math.wisc.edu/441-introduction-modern-algebra Math 441] or [http://www.math.wisc.edu/541-modern-algebra 541].<br />
* Analysis: [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or [http://www.math.wisc.edu/521-advanced-calculus 521].<br />
** Math 521 is strongly suggested for students planning to teach AP Calculus in high school<br />
<br />
'''Additional Courses to Consider'''<br />
* Math 421 can be a useful course to take before the 500 level coursework.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Additional courses at the 500 level in mathematics.<br />
* Courses in computer programming, statistics, physics, economics, and finance can broaden your content areas and qualify you for more subjects.<br />
<br />
== Statistics ==<br />
Statistics is the study of the collection, measuring, and evaluation of data. Recent advances in our ability to collect and parse large amounts of data has made the field more exciting then ever before. Positions in data analysis are becoming common outside of laboratory environments: marketing, education, health, sports, infrastructure, politics, etc.<br />
<br />
Statistics has a strong relationship with mathematics. The areas of mathematics of particular interest are linear algebra, probability, and analysis.<br />
<br />
'''Application Courses'''<br />
* Core Statistics: Stat 333 and Stat 424<br />
* Statistics Electives: At least two from: Stat 349, 351, 411, 421, 456, 471, 609, or 610.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Mathematical Statistics Sequence: [http://www.math.wisc.edu/node/111 Math 309] and [http://www.math.wisc.edu/node/114 Math 310]<br />
** Math 431 may be used for Math 309.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522], [http://www.math.wisc.edu/621-analysis-iii-0 621], or [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Advanced Probability Theory [http://www.math.wisc.edu/531-probability-theory Math 531].<br />
* Algebra: [https://www.math.wisc.edu/541-modern-algebra Math 541].<br />
<br />
'''Also:'''<br />
A student who wishes to complete a major in statistics offered by the [https://www.stat.wisc.edu/undergrad/undergraduate-major-statistics Department of Statistics] should complete the program above and include:<br />
* Stat 302 and 327.<br />
* A course in programming (e.g. CS 300).<br />
* At least one more course from the statistics electives above.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Option_2_packages&diff=17136Option 2 packages2019-03-11T20:26:09Z<p>Hanhart: /* Actuarial Mathematics */</p>
<hr />
<div>The '''Option 2 math major''' requires six math courses and four courses in an area of application. These four courses are required to have a certain mathematical content. They should also form a coherent collection of courses that reflect a plan to study some discipline outside of mathematics that uses a fair amount of mathematics. The selection of the four courses, together with the six required math courses must be approved by the student's advisor. This page lists some sample packages in several popular areas.<br />
<br />
== Economics and Business ==<br />
<br />
=== Actuarial Mathematics ===<br />
Actuaries use techniques in mathematics and statistics to evaluate risk in a variety of areas including insurance, finance, healthcare, and even criminal justice. In recent history the field has been revolutionized by advances in the theory of probability and the ability to access, store, and process very large data sets.<br />
<br />
Professional actuaries are currently in demand, have lucrative pay, and is a growth field [http://www.bls.gov/ooh/math/actuaries.htm]. Similar to some other fields (law, accounting, etc.) there are professional organizations which administer a series of examinations [http://www.beanactuary.org/exams/]. Oftentimes students complete some of these examinations before graduating which allows them to move right into a career (Note: these exams are not required for graduation).<br />
<br />
Students who are interested in actuarial mathematics should consider coursework in probability, statistics, analysis, as well as computational mathematics.<br />
<br />
'''Application Courses'''<br />
* Act Sci 303<br />
<br />
* Act. Sci 650 and 652<br />
<br />
* Act. Sci. 651 or 653<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521. <br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
** Has the prerequisite: one of the probability courses mentioned above AND an elementary stats class (Stat 302 is recommended).<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Linear Programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
'''Additional Courses to Consider'''<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
<br />
'''Also:''' Students interested in the areas of mathematics with applications to actuarial science might consider the following as well:<br />
<br />
* Advanced courses offered by the [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Department of Statistics].<br />
<br />
* A [http://bus.wisc.edu/knowledge-expertise/academic-departments/actuarial-science-risk-management-insurance program] offered by the UW-Madison School of Business.<br />
<br />
=== Business ===<br />
Applications of mathematics to business is often referred to as Operations Research or Management Science. Specifically, the goal is to use mathematics to make the best decisions in a variety of areas: searching, routing, scheduling, transport, etc.<br />
<br />
The modern version of the field grew out of the work mathematicians did in order to aid the Allied war effort during world war II.[http://www.history.army.mil/html/books/hist_op_research/CMH_70-102-1.pdf] Since then, the field has grown into a robust and active area of research and scholarship including several journals and professional organizations.[http://www.informs.org/]<br />
<br />
Students interested in applications of mathematics to business can find many employment opportunities in private corporations, government agencies, nonprofit enterprises, and more. Students can also move onto postgraduate programs in mathematics or business.<br />
<br />
'''Application Courses'''<br />
* Linear programming and Optimization: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Note that this course cannot also be used as a core math course.<br />
* Operations Research: OTM 410<br />
* At least two from the following: Gen Bus 306, Gen Bus 307; OTM 451, 411, 633, 654<br />
** Note that OTM 633 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/111 Math/Stat 310]<br />
<br />
* Computational Mathematics: [https://www.math.wisc.edu/514-numerical-analysis Math 514] or [http://www.math.wisc.edu/513-numerical-linear-algebra 513]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastics: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics.<br />
* [http://www.math.wisc.edu/633-queueing-theory-and-stochastic-modeling Math 633].<br />
<br />
'''Also:''' Consider a program in the UW-Madison [http://bus.wisc.edu/bba/academics-and-programs/majors/operations-technology-management School of Business].<br />
<br />
=== Economics ===<br />
Economics is perhaps the most mathematical of the social sciences. Specifically economists wish to model and understand the behavior of individuals (people, countries, animals, etc.). Typically this is done by quantifying some elements of interest to the individuals.<br />
<br />
Due to the quantitative nature of the field, economic theory has begun to move from the classic areas of markets, products, supply, demand, etc. and into many seemingly unrelated areas: law, psychology, political science, biology, and more.[http://en.wikipedia.org/wiki/Economics_imperialism]<br />
<br />
Regardless, the backbone of economics and economic theory is mathematics. The classical area of mathematics most often related with economics is analysis. <br />
<br />
'''Application Courses'''<br />
* Microeconomics: Econ 301 or 311.<br />
* Macroeconomics: Econ 302 or 312.<br />
* Economic Electives: At least two courses from Econ 410, 460, 475, 503, 521, 525, and 666; Math 310 and Math 415.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Linear programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in the [http://www.econ.wisc.edu/undergrad/Reqs%20for%20Major.html Department of Economics].<br />
<br />
=== Finance ===<br />
Financial mathematics is more popular than ever with financial firms hiring "quants" from all areas of mathematics and the natural sciences. Financial markets are of interest to mathematicians due to the difficult nature of modeling the complex systems. The standard tools involved are evolutionary differential equations, measure theory, and stochastic calculus.<br />
<br />
'''Application Courses'''<br />
* Statistics: Econ 410 or Math/Stat 310.<br />
* Finance core: Finance 300, 320, 330.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Mat 619].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522] and [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Linear Programming (optimization): [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in [http://bus.wisc.edu/bba/academics-and-programs/majors/finance Finance] at the the Wisconsin School of Business.<br />
<br />
== Physical Sciences ==<br />
The physical sciences and mathematics have grown hand-in-hand since antiquity.<br />
Students with strong backgrounds in mathematics who are also interested in a branch of the physical sciences can find opportunities in laboratories, engineering firms, education, finance, law, business, and medicine. Those with very strong academic records can find themselves as preferred candidates for graduate study in their choice of field.<br />
<br />
The following sample programs in mathematics have strong relationships with a particular area of interest in the natural sciences.<br />
<br />
=== Atmospheric & Oceanic Sciences ===<br />
Weather and climate is determined by the interaction between two thin layers which cover the planet: The oceans and the atmosphere. Understanding how these two fluids act and interact allow humans to describe historical climate trends, forecast near future weather with incredible accuracy, and hopefully describe long term climate change which will affect the future of human society.<br />
<br />
A student interested in atmospheric and oceanic studies who has a strong mathematics background can find a career working in local, national, and international meteorological laboratories. These include private scientific consulting businesses as well as public enterprises. Students interested in graduate study could find their future studies supported by the National Science Foundation, the Department of Energy, NASA, or others [http://www.nsf.gov/funding/]. There is a large amount of funding available in the area due to the relevance research findings have on energy and economic policy.<br />
<br />
Mathematicians who work in Atmospheric and oceanic studies are drawn to the complexities of the problems and the variety of methods in both pure and applied mathematics which can be brought to bear on them. Students should take coursework in methods of applied mathematics, differential equations, computational mathematics, and differential geometry and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* ATM OCN 310, 311, and 330 [http://www.aos.wisc.edu/education/Syllabus/courses_majors.html]<br />
** 310 and 330 have Physics 208/248 as a prerequisite.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322]<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619]<br />
<br />
'''Also:''' Students who are interested in this area might consider <br />
* A program offered by the [http://www.aos.wisc.edu/education/undergrad_program.htm Department of Atmospheric and Oceanic Sciences].<br />
* The [http://www.math.wisc.edu/amep AMEP] program.<br />
<br />
=== Chemistry ===<br />
The applications of mathematics to chemistry range from the mundane: Ratios for chemical reactants; to the esoteric: Computational methods in quantum chemistry. Research in this latter topic lead to a Nobel Prize in Chemistry to mathematician [http://www.nobelprize.org/nobel_prizes/chemistry/laureates/1998/index.html John Pople].<br />
<br />
All areas of pure and applied mathematics have applications in modern chemistry. The most accessible track features coursework focusing on applied analysis and computational math. Students with a strong interest in theoretical mathematics should also consider modern algebra (for group theory) and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* Analytical Chemistry: Chem 327 or Chem 329[http://www.chem.wisc.edu/content/courses]<br />
** Prerequisite: Chem 104 or 109 <br />
* Physical Chemistry: Chem 561 and 562<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 320 recommended.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Math 513 or 514 suggested.<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Several higher level courses have connections to theoretical chemistry: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
** Any of these courses are acceptable in lieu of the 500 level courses above.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.chem.wisc.edu/content/undergraduate Department of Chemistry].<br />
<br />
=== Physics ===<br />
Perhaps the subject with the strongest historical ties with mathematics is physics. Certainly some of the great physical theories have been based on novel applications of mathematical theory or the invention of new subjects in the field: Newtonian mechanics and calculus, relativity and Riemannian geometry, quantum theory and functional analysis, etc.<br />
<br />
Nearly all mathematics courses offered here at UW Madison will have some applications to physics. The following is a collection of courses which would support general interest in physics.<br />
<br />
'''Application Courses'''<br />
* Mechanics, Electricity, and Magnetism: [http://www.physics.wisc.edu/academics/undergrads/inter-adv-311 Physics 311] and [http://www.physics.wisc.edu/academics/undergrads/inter-adv-322 Physics 322]<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 421 is suggested to prepare students for math 521.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. See suggested courses below.<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* ODEs: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
* PDEs: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619].<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541].<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
* Differential Geometry [http://www.math.wisc.edu/561-differential-geometry Math 561].<br />
* Complex Analysis: [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/514-numerical-analysis 514].<br />
<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
=== Astronomy ===<br />
The Astronomy package has the same mathematics core, but different suggested application courses:<br />
<br />
'''Application Courses'''<br />
* Astronomy core: Choose two courses from Astron 310, 320, or 335.<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. Suggested courses are: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses above the 500 level.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
== Biological Sciences ==<br />
Applications of mathematics to biology has undergone a recent boom. Historically, the biologist was perhaps most interested in applications of calculus, but now nearly any modern area of mathematical research has an application to some biological field[http://www.ams.org/notices/199509/hoppensteadt.pdf]. The following lists some possibilities.<br />
<br />
=== Bio-Informatics ===<br />
Bioinformatics is the application of computational methods to understand biological information. Of course the most interesting items of biological information is genetic and genomic information. Considering that the human genome has over three billion basepairs [http://www.genome.gov/12011238], it's no wonder that many mathematicians find compelling problems in the area to devote their time.<br />
<br />
Students with strong mathematical backgrounds who are interested in bioinformatics can find careers as a part of research teams in public and private laboratories across the world [http://www.bioinformatics.org/jobs/]. Moreover, many universities have established interdisciplinary graduate programs promoting this intersection of mathematics, biology, and computer science [http://ils.unc.edu/informatics_programs/doc/Bioinformatics_2006.html].<br />
<br />
Students interested in bioinformatics should have a strong background in computational mathematics and probability. Students should also have a strong programming background.<br />
<br />
'''Application Courses'''<br />
* Computer Science: CS 300 and CS 400 (or CS 302 and CS 367).<br />
* Bioinformatics: [http://www.biostat.wisc.edu/content/bmi-576-introduction-bioinformatics BMI/CS 576]<br />
* Genetics: Gen 466<br />
** Note that this class has a prerequisite of a year of chemistry and a year of biology coursework. Please contact the UW-Madison [http://www.genetics.wisc.edu/UndergraduateProgram.htm genetics] program for more information.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: At least three of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
<br />
'''Also''' <br />
* Consider a program in [http://www.cs.wisc.edu/academics/Undergraduate-Programs Computer Science] or [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
* Complete this major with a few additional courses if you are interested in medical school [http://prehealth.wisc.edu/explore/documents/Pre-Med.pdf].<br />
<br />
=== Bio-Statistics ===<br />
Biostatistics is the application of mathematical statistical methods to areas of biology. Historically, one could consider the field to have been founded by Gregor Mendel himself. He used basic principles of statistics and probability to offer a theory for which genetic traits would arise from cross hybridization of plants and animals. His work was forgotten for nearly fifty years before it was rediscovered and become an integral part of modern genetic theory.<br />
<br />
Beyond applications to genetics, applications of biostatistics range from public health policy to evaluating laboratory experimental results to tracking population dynamics in the field. Currently, health organizations consider there to be a shortage of trained biostatisticians[http://www.amstat.org/careers/biostatistics.cfm]. Students interested in this area should find excellent job prospects.<br />
<br />
Students interested in biostatistics should have strong backgrounds in probability, statistics, and computational methods.<br />
<br />
'''Application Courses'''<br />
* Statistics: Any four from Stat 333, 424, 575, 641, and 642 [http://www.stat.wisc.edu/course-listing]<br />
** Stat 333 has as a prerequisite some experience with statistical software. This can be achieved by also registering for Stat 327. Stat 327 is a single credit course which does not count for the mathematics major.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* More courses in computational mathematics listed above.<br />
* [http://www.math.wisc.edu/635-introduction-brownian-motion-and-stochastic-calculus Math 635]<br />
<br />
'''Also'''<br />
* Consider a program with [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Statistics] or in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences].<br />
* Compare this major program to requirements for Medical School.<br />
<br />
=== Ecology, Forestry, Wildlife Ecology ===<br />
Applications of advanced mathematics to ecology has resulted in science's improved ability to track wild animal populations, predict the spread of diseases, model the impact of humans on native wildlife, control invasive species, and more. Modeling in this area is mathematically interesting due to the variety of scales and the inherent difficulty of doing science outside of a laboratory! As such the methods of deterministic and stochastic models are particularly useful.<br />
<br />
'''Application Courses'''<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Computational Methods: [http://www.cs.wisc.edu/courses/412 CS 412].<br />
* Any two courses from [http://zoology.wisc.edu/courses/courselist.htm Zoo 460, 504, and 540]; or [http://forestandwildlifeecology.wisc.edu/undergraduate-study-courses F&W Ecol 300, 410, 460, 531, 652, and 655].<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Stochastic Processes: Either [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
=== Genetics ===<br />
Applications of mathematics in genetics appear on a wide range of scales: chemical processes, cellular processes, organism breeding, and speciation. For applications of mathematics in genetics on the scale of chemical processes you might want to examine the suggested packages for bioinformatics or structural biology. If instead you are interested in the larger scale of organisms you might consider the package in biostatistics or the one below:<br />
<br />
'''Application Courses'''<br />
* Any four courses chosen from: GEN 466, 564, 565, 626, 629, and BMI 563.[http://www.genetics.wisc.edu/UndergraduateProgram.htm]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended for non-honors students.<br />
<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
* Consider a program in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences] such as [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
<br />
=== Structural Biology ===<br />
Structural biologists are primarily interested in the large molecules which are involved in cellular processes: the fundamental chemical building blocks of life. The field lies on the intersection of biology, physics, chemistry, and mathematics and so structural biology is an exciting area of interdisciplinary research.<br />
<br />
In general, the mathematics involved in structural biology is focused on computational methods, probability, and statistics. Note that we offer a specialized course in Mathematics Methods in Structural Biology - Math 606.<br />
<br />
'''Application Courses'''<br />
* Analytical Methods in Chemistry: Chem 327 or 329<br />
* Physical Chemistry: Chem 561 and 562<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/mathematical-methods-structural-biology Math 606]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [https://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
=== Systems Biology ===<br />
Systems biology is the computational and mathematical modeling of biological systems at any scale. The classical example of this may be the [http://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equation predator-prey] model of differential equations which describe the relative population dynamics of two species. Other systems examples include disease transmission, chemical pathways, cellular processes, and more.<br />
<br />
In general, the mathematics involved in systems biology is focused on computational methods, dynamical systems, differential equations, the mathematics of networks, control theory, and others. Note that we offer a specialized course in Mathematical Methods in Systems Biology - Math 609.<br />
<br />
'''Application Courses'''<br />
* Organic Chemistry: Chem 341 or 343<br />
* Introductory Biochemistry: Biochem 501<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/609-mathematical-methods-systems-biology Math 609]<br />
* One Biochem elective: Any Biochem class numbered above 600. Suggested courses are Biochem 601, 612, 620, 621, 624, and 630.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
<br />
'''Additional Courses to Consider'''<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses in computational mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
== Engineering ==<br />
Engineering is the application of science and mathematics to the invention, improvement, and maintenance of anything and everything. As with many of the sciences, engineers and mathematicians have a symbiotic relationship: Engineers use mathematics to make new things; the new things exhibit novel properties that are mathematically interesting.<br />
<br />
In general all of mathematics can be applied to some field of engineering. However the programs offered below are not substitutes for engineering degrees. That is, student who are interested in an engineering career upon completion of their undergraduate degree should probably enroll in one of the engineering programs offered by the [http://www.engr.wisc.edu/current/undergrad.html College of Engineering]. Similarly, students who are primarily interested in mathematics might instead choose an option I major and concentrate their upper level coursework in applied mathematics. Students who are truly interested in both areas should consider the degree program in [http://www.math.wisc.edu/amep Applied Mathematics, Engineering, and Physics].<br />
<br />
So who do the programs below serve? They serve engineering students who wish to take a second major in mathematics. In general such students are excellent candidates for graduate study in engineering.<br />
<br />
=== Chemical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Chemical Engineering who are interested in pursuing a second major in mathematics.<br />
<br />
'''Application Courses'''<br />
* [http://www.engr.wisc.edu/cmsdocuments/cbe-undergrade-handbook-2009-v7.pdf CBE 320, 326, 426, 470]<br />
** Note: All of these course are required for the undergraduate program in chemical engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), complex analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]), and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
=== Civil Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Civil and Environmental Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Fluid Mechanics and Structural Analysis: [http://courses.engr.wisc.edu/cee/ CIV ENG 310, 311, 340]<br />
** Note: All of these course are required for the undergraduate program in civil engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective Structural Analysis Course: CIV ENG 440, 442, 445, or 447.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]); and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], and [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
=== Electrical and Computer Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Computer and Electrical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core ECE: [http://courses.engr.wisc.edu/ece/ ECE 220, 230, 352]<br />
** Note: All of these course are required for the undergraduate program in electrical and computer engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective: ECE 435, 525, or 533.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
** ECE 435 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* At least two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), linear programming [http://www.math.wisc.edu/525-linear-programming-methods Math 525], modern algebra [http://www.math.wisc.edu/541-modern-algebra Math 541], differential geometry [http://www.math.wisc.edu/561-differential-geometry Math 561], and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
* Error correcting codes: [http://www.math.wisc.edu/641-introduction-error-correcting-codes Math 641]<br />
<br />
===Engineering Mechanics and Astronautics===<br />
The following program details an option 2 package for students in the College of Engineering program in Engineering Mechanics and Astronautics who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Engineering Mechanics: [http://courses.engr.wisc.edu/ema/ EMA 201, 202, 303]<br />
* One elective: EMA 521, 542, 545, or 563<br />
** All of the above courses may be used to satisfy the EMA program requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525]), and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
<br />
=== Industrial Engineering ===<br />
Industrial engineering is the application of engineering principles to create the most effective means of production. In particular, they work to optimize complex systems.<br />
<br />
'''Application Courses[http://www.engr.wisc.edu/isye/isye-curriculum-documents.html]'''<br />
* Core Industrial engineering: I SY E 315, 320, and 323.<br />
* Industrial Engineering Elective: At least one of I SY E 425, 516, 525, 526, 558, 575, 615, 620, 624, 635, or 643.<br />
** Note: ISYE 425 and 525 are both crosslisted with math and cannot be used to complete both the application and core math requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Both 309 and 431 are preferred over stat 311.<br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Numerical Analysis: [http://www.math.wisc.edu/514-numerical-analysis Math 514].<br />
<br />
'''Also:'''<br />
Consider the program in [http://www.engr.wisc.edu/isye/isye-academics-undergraduate-program.html Industrial Engineering] offered by the College of Engineering.<br />
<br />
=== Materials Science ===<br />
The following program details an option 2 package for students in the College of Engineering program in Materials Science and Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Materials Courses: [http://www.engr.wisc.edu/cmsdocuments/Degree_requirements_2014.pdf MSE 330, 331, and 351]<br />
* One Engineering Elective: CBE 255, CS 300, CS 302, CS 310, ECE 230, ECE 376, EMA 303, Phys 321, Stat 424].<br />
** All of the above classes may be used to satisfy the program requirements for MS&E BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Mechanical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Mechanical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Mechanical Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/me-flowchart-spring-2014.pdf ME 340, 361, 363, 364]<br />
** All of the above courses are required by the Mechanical Engineering program.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Nuclear Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Nuclear Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Nuclear Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/NE-UGguide2014.pdf NE 305, 405, and 408]<br />
* One Engineering Elective: Physics 321 or 322, ECE 376, BME 501, or NE 411.<br />
** All of the above classes may be used to satisfy the program requirements for the Nuclear Engineering BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
* Additional courses above the 500 level listed above.<br />
<br />
== Computer Science ==<br />
Computer science as an independent discipline is rather young: The first computer science degree program offered in the United States was formed in 1962 (at Purdue University). Despite its youth, one could argue that no single academic discipline has had more of an effect on human society since the scientific revolution.<br />
<br />
Since computer science is foremost concerned with the theory of computation, its link with mathematics is robust. Historical examples include Alan Turing, A mathematician and WWII cryptoanalyst who's theory of the Universal Turing Machine forms the central framework of modern computation; and John Von Neumann, A mathematician who's name is ascribed to the architecture still used for nearly all computers today.[https://web.archive.org/web/20130314123032/http://qss.stanford.edu/~godfrey/vonNeumann/vnedvac.pdf] There are broad overlaps in reasearch in the two fields. For example, one of the most famous unsolved problems in mathematics, the [http://www.claymath.org/millenium-problems/p-vs-np-problem P vs NP] problem, is also considered an open problem in the theory of computation.<br />
<br />
Since computer science is a full field enveloping philosophy, mathematics, and engineering there are many possible areas of interest which a student of mathematics and computer science might focus on. Below are several examples.<br />
<br />
=== Computational Methods ===<br />
Computational methods are the algorithms a computer follows in order to perform a specific task. Of interest besides the algorithms is methods for evaluating their quality and efficiency. Since computational mathematics is on the interface between pure and applied methods students who concentrate in this area can find many exciting research opportunities available at the undergraduate level. <br />
<br />
The mathematical coursework focuses on combinatorics, analysis, and numerical methods. <br />
<br />
'''Application Courses'''<br />
* Any four courses from: CS 352, 367, 400, 412, 435, 475, 513, 514, 515, 520, 525, 533, 540, 545, 558, 559, and 577.<br />
** Note that 435, 475, 513, 514, 515, and 525 are crosslisted with math. They may not be used as both application courses and core mathematics courses<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Advanced Calculus [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] and/or [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics above.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Analysis II: [http://www.math.wisc.edu/522-advanced-calculus Math 522].<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542].<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567].<br />
* Logic: [http://www.math.wisc.edu/571-mathematical-logic Math 571].<br />
<br />
'''Also:'''<br />
Consider the program in the [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science].<br />
<br />
=== Theoretical Computer Science ===<br />
If you are interested in a more theoretical bend to your studies, follow the program above but with the following changes:<br />
* Include both CS 520 and CS 577 into your core applied courses.<br />
* Replace the two computational methods courses with Math 567 and Math 571.<br />
<br />
=== Cryptography ===<br />
Due to the widespread use of computer storage, platforms, and devices; security is now of singular interest. Students with expertise in the mathematics associated with cryptography can find interesting opportunities after graduation in public and private security sectors.<br />
<br />
The mathematics associated to secure messaging and cryptography is typically centered on combinatorics and number theory.<br />
<br />
'''Application Courses'''<br />
* Programming: CS 300 and CS 400 (or CS 302 and 367).<br />
* One of the following two pairs:<br />
** The CS track: Operating systems (CS 537) and Security (CS 642)<br />
** The ECE track: Digital Systems: (ECE 352) and Error Correcting Codes (ECE 641).<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Cryptography: [http://www.math.wisc.edu/435-introduction-cryptography Math 435]<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567]<br />
<br />
'''Additional Courses to Consider'''<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Also:'''<br />
Consider combining the programs offered by [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science] or [http://www.engr.wisc.edu/ece/ece-academics-undergraduate-program.html Computer Engineering].<br />
<br />
== Secondary Education ==<br />
The so called STEM fields continue to be a major area of interest and investment for education policy makers. In particular secondary education instructors with strong mathematics backgrounds are in demand across the nation in public, private, and charter school environments. <br />
<br />
The following program was designed for a math major who is interested in becoming an educator at the secondary level. Note that successful completion of the coursework outlined below would make a strong candidate for graduate work in mathematics and education at the masters level. Our own School of Education offers a [http://www.uwteach.com/mathematics.html Masters Degree in Secondary Mathematics] which concludes with state certification. <br />
<br />
''Note that a major requires at least two courses at the 500 level. Therefore you should consider the suggestions below carefully.''<br />
<br />
'''Application Courses'''<br />
* History and philosophy of mathematics: [http://www.math.wisc.edu/473-history-mathematics Math 473].<br />
* Math education capstone course: [http://www.math.wisc.edu/371-basic-concepts-mathematics Math 471]<br />
* Two additional courses from Mathematics, Computer Science, Physics, or Economics at the Intermediate or Advanced Level.<br />
** Suggested: CS 300, CS 302, Phys 207, Math 421, Math 475, Math 561, Math 567<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 (or Math 375) suggested.<br />
* College Geometry: [http://www.math.wisc.edu/461-college-geometry-i Math 461]. <br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] <br />
** Math 431 and 309 are equivalent. <br />
** [http://www.math.wisc.edu/531-probability-theory Math 531] can also be considered. This is a proof based introduction to probability and may be taken only after Math 421 or Math 521.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310] (Math 310 has a prerequisite of Math 309 or 431.)<br />
* Modern Algebra: [http://www.math.wisc.edu/441-introduction-modern-algebra Math 441] or [http://www.math.wisc.edu/541-modern-algebra 541].<br />
* Analysis: [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or [http://www.math.wisc.edu/521-advanced-calculus 521].<br />
** Math 521 is strongly suggested for students planning to teach AP Calculus in high school<br />
<br />
'''Additional Courses to Consider'''<br />
* Math 421 can be a useful course to take before the 500 level coursework.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Additional courses at the 500 level in mathematics.<br />
* Courses in computer programming, statistics, physics, economics, and finance can broaden your content areas and qualify you for more subjects.<br />
<br />
== Statistics ==<br />
Statistics is the study of the collection, measuring, and evaluation of data. Recent advances in our ability to collect and parse large amounts of data has made the field more exciting then ever before. Positions in data analysis are becoming common outside of laboratory environments: marketing, education, health, sports, infrastructure, politics, etc.<br />
<br />
Statistics has a strong relationship with mathematics. The areas of mathematics of particular interest are linear algebra, probability, and analysis.<br />
<br />
'''Application Courses'''<br />
* Core Statistics: Stat 333 and Stat 424<br />
* Statistics Electives: At least two from: Stat 349, 351, 411, 421, 456, 471, 609, or 610.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Mathematical Statistics Sequence: [http://www.math.wisc.edu/node/111 Math 309] and [http://www.math.wisc.edu/node/114 Math 310]<br />
** Math 431 may be used for Math 309.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522], [http://www.math.wisc.edu/621-analysis-iii-0 621], or [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Advanced Probability Theory [http://www.math.wisc.edu/531-probability-theory Math 531].<br />
* Algebra: [https://www.math.wisc.edu/541-modern-algebra Math 541].<br />
<br />
'''Also:'''<br />
A student who wishes to complete a major in statistics offered by the [https://www.stat.wisc.edu/undergrad/undergraduate-major-statistics Department of Statistics] should complete the program above and include:<br />
* Stat 302 and 327.<br />
* A course in programming (e.g. CS 300).<br />
* At least one more course from the statistics electives above.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Option_2_packages&diff=17135Option 2 packages2019-03-11T20:25:06Z<p>Hanhart: </p>
<hr />
<div>The '''Option 2 math major''' requires six math courses and four courses in an area of application. These four courses are required to have a certain mathematical content. They should also form a coherent collection of courses that reflect a plan to study some discipline outside of mathematics that uses a fair amount of mathematics. The selection of the four courses, together with the six required math courses must be approved by the student's advisor. This page lists some sample packages in several popular areas.<br />
<br />
== Economics and Business ==<br />
<br />
=== Actuarial Mathematics ===<br />
Actuaries use techniques in mathematics and statistics to evaluate risk in a variety of areas including insurance, finance, healthcare, and even criminal justice. In recent history the field has been revolutionized by advances in the theory of probability and the ability to access, store, and process very large data sets.<br />
<br />
Professional actuaries are currently in demand, have lucrative pay, and is a growth field [http://www.bls.gov/ooh/math/actuaries.htm]. Similar to some other fields (law, accounting, etc.) there are professional organizations which administer a series of examinations [http://www.beanactuary.org/exams/]. Oftentimes students complete some of these examinations before graduating which allows them to move right into a career (Note: these exams are not required for graduation).<br />
<br />
Students who are interested in actuarial mathematics should consider coursework in probability, statistics, analysis, as well as computational mathematics.<br />
<br />
'''Application Courses'''<br />
* [http://www.math.wisc.edu/node/96 Act Sci 303]<br />
<br />
* Act. Sci 650 and 652<br />
<br />
* Act. Sci. 651 or 653<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521. <br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
** Has the prerequisite: one of the probability courses mentioned above AND an elementary stats class (Stat 302 is recommended).<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Linear Programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
'''Additional Courses to Consider'''<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
<br />
'''Also:''' Students interested in the areas of mathematics with applications to actuarial science might consider the following as well:<br />
<br />
* Advanced courses offered by the [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Department of Statistics].<br />
<br />
* A [http://bus.wisc.edu/knowledge-expertise/academic-departments/actuarial-science-risk-management-insurance program] offered by the UW-Madison School of Business.<br />
<br />
=== Business ===<br />
Applications of mathematics to business is often referred to as Operations Research or Management Science. Specifically, the goal is to use mathematics to make the best decisions in a variety of areas: searching, routing, scheduling, transport, etc.<br />
<br />
The modern version of the field grew out of the work mathematicians did in order to aid the Allied war effort during world war II.[http://www.history.army.mil/html/books/hist_op_research/CMH_70-102-1.pdf] Since then, the field has grown into a robust and active area of research and scholarship including several journals and professional organizations.[http://www.informs.org/]<br />
<br />
Students interested in applications of mathematics to business can find many employment opportunities in private corporations, government agencies, nonprofit enterprises, and more. Students can also move onto postgraduate programs in mathematics or business.<br />
<br />
'''Application Courses'''<br />
* Linear programming and Optimization: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Note that this course cannot also be used as a core math course.<br />
* Operations Research: OTM 410<br />
* At least two from the following: Gen Bus 306, Gen Bus 307; OTM 451, 411, 633, 654<br />
** Note that OTM 633 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/111 Math/Stat 310]<br />
<br />
* Computational Mathematics: [https://www.math.wisc.edu/514-numerical-analysis Math 514] or [http://www.math.wisc.edu/513-numerical-linear-algebra 513]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastics: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics.<br />
* [http://www.math.wisc.edu/633-queueing-theory-and-stochastic-modeling Math 633].<br />
<br />
'''Also:''' Consider a program in the UW-Madison [http://bus.wisc.edu/bba/academics-and-programs/majors/operations-technology-management School of Business].<br />
<br />
=== Economics ===<br />
Economics is perhaps the most mathematical of the social sciences. Specifically economists wish to model and understand the behavior of individuals (people, countries, animals, etc.). Typically this is done by quantifying some elements of interest to the individuals.<br />
<br />
Due to the quantitative nature of the field, economic theory has begun to move from the classic areas of markets, products, supply, demand, etc. and into many seemingly unrelated areas: law, psychology, political science, biology, and more.[http://en.wikipedia.org/wiki/Economics_imperialism]<br />
<br />
Regardless, the backbone of economics and economic theory is mathematics. The classical area of mathematics most often related with economics is analysis. <br />
<br />
'''Application Courses'''<br />
* Microeconomics: Econ 301 or 311.<br />
* Macroeconomics: Econ 302 or 312.<br />
* Economic Electives: At least two courses from Econ 410, 460, 475, 503, 521, 525, and 666; Math 310 and Math 415.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Linear programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in the [http://www.econ.wisc.edu/undergrad/Reqs%20for%20Major.html Department of Economics].<br />
<br />
=== Finance ===<br />
Financial mathematics is more popular than ever with financial firms hiring "quants" from all areas of mathematics and the natural sciences. Financial markets are of interest to mathematicians due to the difficult nature of modeling the complex systems. The standard tools involved are evolutionary differential equations, measure theory, and stochastic calculus.<br />
<br />
'''Application Courses'''<br />
* Statistics: Econ 410 or Math/Stat 310.<br />
* Finance core: Finance 300, 320, 330.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Mat 619].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522] and [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Linear Programming (optimization): [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in [http://bus.wisc.edu/bba/academics-and-programs/majors/finance Finance] at the the Wisconsin School of Business.<br />
<br />
== Physical Sciences ==<br />
The physical sciences and mathematics have grown hand-in-hand since antiquity.<br />
Students with strong backgrounds in mathematics who are also interested in a branch of the physical sciences can find opportunities in laboratories, engineering firms, education, finance, law, business, and medicine. Those with very strong academic records can find themselves as preferred candidates for graduate study in their choice of field.<br />
<br />
The following sample programs in mathematics have strong relationships with a particular area of interest in the natural sciences.<br />
<br />
=== Atmospheric & Oceanic Sciences ===<br />
Weather and climate is determined by the interaction between two thin layers which cover the planet: The oceans and the atmosphere. Understanding how these two fluids act and interact allow humans to describe historical climate trends, forecast near future weather with incredible accuracy, and hopefully describe long term climate change which will affect the future of human society.<br />
<br />
A student interested in atmospheric and oceanic studies who has a strong mathematics background can find a career working in local, national, and international meteorological laboratories. These include private scientific consulting businesses as well as public enterprises. Students interested in graduate study could find their future studies supported by the National Science Foundation, the Department of Energy, NASA, or others [http://www.nsf.gov/funding/]. There is a large amount of funding available in the area due to the relevance research findings have on energy and economic policy.<br />
<br />
Mathematicians who work in Atmospheric and oceanic studies are drawn to the complexities of the problems and the variety of methods in both pure and applied mathematics which can be brought to bear on them. Students should take coursework in methods of applied mathematics, differential equations, computational mathematics, and differential geometry and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* ATM OCN 310, 311, and 330 [http://www.aos.wisc.edu/education/Syllabus/courses_majors.html]<br />
** 310 and 330 have Physics 208/248 as a prerequisite.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322]<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619]<br />
<br />
'''Also:''' Students who are interested in this area might consider <br />
* A program offered by the [http://www.aos.wisc.edu/education/undergrad_program.htm Department of Atmospheric and Oceanic Sciences].<br />
* The [http://www.math.wisc.edu/amep AMEP] program.<br />
<br />
=== Chemistry ===<br />
The applications of mathematics to chemistry range from the mundane: Ratios for chemical reactants; to the esoteric: Computational methods in quantum chemistry. Research in this latter topic lead to a Nobel Prize in Chemistry to mathematician [http://www.nobelprize.org/nobel_prizes/chemistry/laureates/1998/index.html John Pople].<br />
<br />
All areas of pure and applied mathematics have applications in modern chemistry. The most accessible track features coursework focusing on applied analysis and computational math. Students with a strong interest in theoretical mathematics should also consider modern algebra (for group theory) and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* Analytical Chemistry: Chem 327 or Chem 329[http://www.chem.wisc.edu/content/courses]<br />
** Prerequisite: Chem 104 or 109 <br />
* Physical Chemistry: Chem 561 and 562<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 320 recommended.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Math 513 or 514 suggested.<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Several higher level courses have connections to theoretical chemistry: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
** Any of these courses are acceptable in lieu of the 500 level courses above.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.chem.wisc.edu/content/undergraduate Department of Chemistry].<br />
<br />
=== Physics ===<br />
Perhaps the subject with the strongest historical ties with mathematics is physics. Certainly some of the great physical theories have been based on novel applications of mathematical theory or the invention of new subjects in the field: Newtonian mechanics and calculus, relativity and Riemannian geometry, quantum theory and functional analysis, etc.<br />
<br />
Nearly all mathematics courses offered here at UW Madison will have some applications to physics. The following is a collection of courses which would support general interest in physics.<br />
<br />
'''Application Courses'''<br />
* Mechanics, Electricity, and Magnetism: [http://www.physics.wisc.edu/academics/undergrads/inter-adv-311 Physics 311] and [http://www.physics.wisc.edu/academics/undergrads/inter-adv-322 Physics 322]<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 421 is suggested to prepare students for math 521.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. See suggested courses below.<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* ODEs: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
* PDEs: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619].<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541].<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
* Differential Geometry [http://www.math.wisc.edu/561-differential-geometry Math 561].<br />
* Complex Analysis: [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/514-numerical-analysis 514].<br />
<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
=== Astronomy ===<br />
The Astronomy package has the same mathematics core, but different suggested application courses:<br />
<br />
'''Application Courses'''<br />
* Astronomy core: Choose two courses from Astron 310, 320, or 335.<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. Suggested courses are: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses above the 500 level.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
== Biological Sciences ==<br />
Applications of mathematics to biology has undergone a recent boom. Historically, the biologist was perhaps most interested in applications of calculus, but now nearly any modern area of mathematical research has an application to some biological field[http://www.ams.org/notices/199509/hoppensteadt.pdf]. The following lists some possibilities.<br />
<br />
=== Bio-Informatics ===<br />
Bioinformatics is the application of computational methods to understand biological information. Of course the most interesting items of biological information is genetic and genomic information. Considering that the human genome has over three billion basepairs [http://www.genome.gov/12011238], it's no wonder that many mathematicians find compelling problems in the area to devote their time.<br />
<br />
Students with strong mathematical backgrounds who are interested in bioinformatics can find careers as a part of research teams in public and private laboratories across the world [http://www.bioinformatics.org/jobs/]. Moreover, many universities have established interdisciplinary graduate programs promoting this intersection of mathematics, biology, and computer science [http://ils.unc.edu/informatics_programs/doc/Bioinformatics_2006.html].<br />
<br />
Students interested in bioinformatics should have a strong background in computational mathematics and probability. Students should also have a strong programming background.<br />
<br />
'''Application Courses'''<br />
* Computer Science: CS 300 and CS 400 (or CS 302 and CS 367).<br />
* Bioinformatics: [http://www.biostat.wisc.edu/content/bmi-576-introduction-bioinformatics BMI/CS 576]<br />
* Genetics: Gen 466<br />
** Note that this class has a prerequisite of a year of chemistry and a year of biology coursework. Please contact the UW-Madison [http://www.genetics.wisc.edu/UndergraduateProgram.htm genetics] program for more information.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: At least three of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
<br />
'''Also''' <br />
* Consider a program in [http://www.cs.wisc.edu/academics/Undergraduate-Programs Computer Science] or [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
* Complete this major with a few additional courses if you are interested in medical school [http://prehealth.wisc.edu/explore/documents/Pre-Med.pdf].<br />
<br />
=== Bio-Statistics ===<br />
Biostatistics is the application of mathematical statistical methods to areas of biology. Historically, one could consider the field to have been founded by Gregor Mendel himself. He used basic principles of statistics and probability to offer a theory for which genetic traits would arise from cross hybridization of plants and animals. His work was forgotten for nearly fifty years before it was rediscovered and become an integral part of modern genetic theory.<br />
<br />
Beyond applications to genetics, applications of biostatistics range from public health policy to evaluating laboratory experimental results to tracking population dynamics in the field. Currently, health organizations consider there to be a shortage of trained biostatisticians[http://www.amstat.org/careers/biostatistics.cfm]. Students interested in this area should find excellent job prospects.<br />
<br />
Students interested in biostatistics should have strong backgrounds in probability, statistics, and computational methods.<br />
<br />
'''Application Courses'''<br />
* Statistics: Any four from Stat 333, 424, 575, 641, and 642 [http://www.stat.wisc.edu/course-listing]<br />
** Stat 333 has as a prerequisite some experience with statistical software. This can be achieved by also registering for Stat 327. Stat 327 is a single credit course which does not count for the mathematics major.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* More courses in computational mathematics listed above.<br />
* [http://www.math.wisc.edu/635-introduction-brownian-motion-and-stochastic-calculus Math 635]<br />
<br />
'''Also'''<br />
* Consider a program with [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Statistics] or in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences].<br />
* Compare this major program to requirements for Medical School.<br />
<br />
=== Ecology, Forestry, Wildlife Ecology ===<br />
Applications of advanced mathematics to ecology has resulted in science's improved ability to track wild animal populations, predict the spread of diseases, model the impact of humans on native wildlife, control invasive species, and more. Modeling in this area is mathematically interesting due to the variety of scales and the inherent difficulty of doing science outside of a laboratory! As such the methods of deterministic and stochastic models are particularly useful.<br />
<br />
'''Application Courses'''<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Computational Methods: [http://www.cs.wisc.edu/courses/412 CS 412].<br />
* Any two courses from [http://zoology.wisc.edu/courses/courselist.htm Zoo 460, 504, and 540]; or [http://forestandwildlifeecology.wisc.edu/undergraduate-study-courses F&W Ecol 300, 410, 460, 531, 652, and 655].<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Stochastic Processes: Either [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
=== Genetics ===<br />
Applications of mathematics in genetics appear on a wide range of scales: chemical processes, cellular processes, organism breeding, and speciation. For applications of mathematics in genetics on the scale of chemical processes you might want to examine the suggested packages for bioinformatics or structural biology. If instead you are interested in the larger scale of organisms you might consider the package in biostatistics or the one below:<br />
<br />
'''Application Courses'''<br />
* Any four courses chosen from: GEN 466, 564, 565, 626, 629, and BMI 563.[http://www.genetics.wisc.edu/UndergraduateProgram.htm]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended for non-honors students.<br />
<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
* Consider a program in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences] such as [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
<br />
=== Structural Biology ===<br />
Structural biologists are primarily interested in the large molecules which are involved in cellular processes: the fundamental chemical building blocks of life. The field lies on the intersection of biology, physics, chemistry, and mathematics and so structural biology is an exciting area of interdisciplinary research.<br />
<br />
In general, the mathematics involved in structural biology is focused on computational methods, probability, and statistics. Note that we offer a specialized course in Mathematics Methods in Structural Biology - Math 606.<br />
<br />
'''Application Courses'''<br />
* Analytical Methods in Chemistry: Chem 327 or 329<br />
* Physical Chemistry: Chem 561 and 562<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/mathematical-methods-structural-biology Math 606]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [https://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
=== Systems Biology ===<br />
Systems biology is the computational and mathematical modeling of biological systems at any scale. The classical example of this may be the [http://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equation predator-prey] model of differential equations which describe the relative population dynamics of two species. Other systems examples include disease transmission, chemical pathways, cellular processes, and more.<br />
<br />
In general, the mathematics involved in systems biology is focused on computational methods, dynamical systems, differential equations, the mathematics of networks, control theory, and others. Note that we offer a specialized course in Mathematical Methods in Systems Biology - Math 609.<br />
<br />
'''Application Courses'''<br />
* Organic Chemistry: Chem 341 or 343<br />
* Introductory Biochemistry: Biochem 501<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/609-mathematical-methods-systems-biology Math 609]<br />
* One Biochem elective: Any Biochem class numbered above 600. Suggested courses are Biochem 601, 612, 620, 621, 624, and 630.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
<br />
'''Additional Courses to Consider'''<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses in computational mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
== Engineering ==<br />
Engineering is the application of science and mathematics to the invention, improvement, and maintenance of anything and everything. As with many of the sciences, engineers and mathematicians have a symbiotic relationship: Engineers use mathematics to make new things; the new things exhibit novel properties that are mathematically interesting.<br />
<br />
In general all of mathematics can be applied to some field of engineering. However the programs offered below are not substitutes for engineering degrees. That is, student who are interested in an engineering career upon completion of their undergraduate degree should probably enroll in one of the engineering programs offered by the [http://www.engr.wisc.edu/current/undergrad.html College of Engineering]. Similarly, students who are primarily interested in mathematics might instead choose an option I major and concentrate their upper level coursework in applied mathematics. Students who are truly interested in both areas should consider the degree program in [http://www.math.wisc.edu/amep Applied Mathematics, Engineering, and Physics].<br />
<br />
So who do the programs below serve? They serve engineering students who wish to take a second major in mathematics. In general such students are excellent candidates for graduate study in engineering.<br />
<br />
=== Chemical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Chemical Engineering who are interested in pursuing a second major in mathematics.<br />
<br />
'''Application Courses'''<br />
* [http://www.engr.wisc.edu/cmsdocuments/cbe-undergrade-handbook-2009-v7.pdf CBE 320, 326, 426, 470]<br />
** Note: All of these course are required for the undergraduate program in chemical engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), complex analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]), and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
=== Civil Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Civil and Environmental Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Fluid Mechanics and Structural Analysis: [http://courses.engr.wisc.edu/cee/ CIV ENG 310, 311, 340]<br />
** Note: All of these course are required for the undergraduate program in civil engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective Structural Analysis Course: CIV ENG 440, 442, 445, or 447.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]); and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], and [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
=== Electrical and Computer Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Computer and Electrical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core ECE: [http://courses.engr.wisc.edu/ece/ ECE 220, 230, 352]<br />
** Note: All of these course are required for the undergraduate program in electrical and computer engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective: ECE 435, 525, or 533.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
** ECE 435 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* At least two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), linear programming [http://www.math.wisc.edu/525-linear-programming-methods Math 525], modern algebra [http://www.math.wisc.edu/541-modern-algebra Math 541], differential geometry [http://www.math.wisc.edu/561-differential-geometry Math 561], and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
* Error correcting codes: [http://www.math.wisc.edu/641-introduction-error-correcting-codes Math 641]<br />
<br />
===Engineering Mechanics and Astronautics===<br />
The following program details an option 2 package for students in the College of Engineering program in Engineering Mechanics and Astronautics who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Engineering Mechanics: [http://courses.engr.wisc.edu/ema/ EMA 201, 202, 303]<br />
* One elective: EMA 521, 542, 545, or 563<br />
** All of the above courses may be used to satisfy the EMA program requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525]), and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
<br />
=== Industrial Engineering ===<br />
Industrial engineering is the application of engineering principles to create the most effective means of production. In particular, they work to optimize complex systems.<br />
<br />
'''Application Courses[http://www.engr.wisc.edu/isye/isye-curriculum-documents.html]'''<br />
* Core Industrial engineering: I SY E 315, 320, and 323.<br />
* Industrial Engineering Elective: At least one of I SY E 425, 516, 525, 526, 558, 575, 615, 620, 624, 635, or 643.<br />
** Note: ISYE 425 and 525 are both crosslisted with math and cannot be used to complete both the application and core math requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Both 309 and 431 are preferred over stat 311.<br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Numerical Analysis: [http://www.math.wisc.edu/514-numerical-analysis Math 514].<br />
<br />
'''Also:'''<br />
Consider the program in [http://www.engr.wisc.edu/isye/isye-academics-undergraduate-program.html Industrial Engineering] offered by the College of Engineering.<br />
<br />
=== Materials Science ===<br />
The following program details an option 2 package for students in the College of Engineering program in Materials Science and Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Materials Courses: [http://www.engr.wisc.edu/cmsdocuments/Degree_requirements_2014.pdf MSE 330, 331, and 351]<br />
* One Engineering Elective: CBE 255, CS 300, CS 302, CS 310, ECE 230, ECE 376, EMA 303, Phys 321, Stat 424].<br />
** All of the above classes may be used to satisfy the program requirements for MS&E BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Mechanical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Mechanical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Mechanical Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/me-flowchart-spring-2014.pdf ME 340, 361, 363, 364]<br />
** All of the above courses are required by the Mechanical Engineering program.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Nuclear Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Nuclear Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Nuclear Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/NE-UGguide2014.pdf NE 305, 405, and 408]<br />
* One Engineering Elective: Physics 321 or 322, ECE 376, BME 501, or NE 411.<br />
** All of the above classes may be used to satisfy the program requirements for the Nuclear Engineering BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
* Additional courses above the 500 level listed above.<br />
<br />
== Computer Science ==<br />
Computer science as an independent discipline is rather young: The first computer science degree program offered in the United States was formed in 1962 (at Purdue University). Despite its youth, one could argue that no single academic discipline has had more of an effect on human society since the scientific revolution.<br />
<br />
Since computer science is foremost concerned with the theory of computation, its link with mathematics is robust. Historical examples include Alan Turing, A mathematician and WWII cryptoanalyst who's theory of the Universal Turing Machine forms the central framework of modern computation; and John Von Neumann, A mathematician who's name is ascribed to the architecture still used for nearly all computers today.[https://web.archive.org/web/20130314123032/http://qss.stanford.edu/~godfrey/vonNeumann/vnedvac.pdf] There are broad overlaps in reasearch in the two fields. For example, one of the most famous unsolved problems in mathematics, the [http://www.claymath.org/millenium-problems/p-vs-np-problem P vs NP] problem, is also considered an open problem in the theory of computation.<br />
<br />
Since computer science is a full field enveloping philosophy, mathematics, and engineering there are many possible areas of interest which a student of mathematics and computer science might focus on. Below are several examples.<br />
<br />
=== Computational Methods ===<br />
Computational methods are the algorithms a computer follows in order to perform a specific task. Of interest besides the algorithms is methods for evaluating their quality and efficiency. Since computational mathematics is on the interface between pure and applied methods students who concentrate in this area can find many exciting research opportunities available at the undergraduate level. <br />
<br />
The mathematical coursework focuses on combinatorics, analysis, and numerical methods. <br />
<br />
'''Application Courses'''<br />
* Any four courses from: CS 352, 367, 400, 412, 435, 475, 513, 514, 515, 520, 525, 533, 540, 545, 558, 559, and 577.<br />
** Note that 435, 475, 513, 514, 515, and 525 are crosslisted with math. They may not be used as both application courses and core mathematics courses<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Advanced Calculus [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] and/or [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics above.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Analysis II: [http://www.math.wisc.edu/522-advanced-calculus Math 522].<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542].<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567].<br />
* Logic: [http://www.math.wisc.edu/571-mathematical-logic Math 571].<br />
<br />
'''Also:'''<br />
Consider the program in the [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science].<br />
<br />
=== Theoretical Computer Science ===<br />
If you are interested in a more theoretical bend to your studies, follow the program above but with the following changes:<br />
* Include both CS 520 and CS 577 into your core applied courses.<br />
* Replace the two computational methods courses with Math 567 and Math 571.<br />
<br />
=== Cryptography ===<br />
Due to the widespread use of computer storage, platforms, and devices; security is now of singular interest. Students with expertise in the mathematics associated with cryptography can find interesting opportunities after graduation in public and private security sectors.<br />
<br />
The mathematics associated to secure messaging and cryptography is typically centered on combinatorics and number theory.<br />
<br />
'''Application Courses'''<br />
* Programming: CS 300 and CS 400 (or CS 302 and 367).<br />
* One of the following two pairs:<br />
** The CS track: Operating systems (CS 537) and Security (CS 642)<br />
** The ECE track: Digital Systems: (ECE 352) and Error Correcting Codes (ECE 641).<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Cryptography: [http://www.math.wisc.edu/435-introduction-cryptography Math 435]<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567]<br />
<br />
'''Additional Courses to Consider'''<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Also:'''<br />
Consider combining the programs offered by [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science] or [http://www.engr.wisc.edu/ece/ece-academics-undergraduate-program.html Computer Engineering].<br />
<br />
== Secondary Education ==<br />
The so called STEM fields continue to be a major area of interest and investment for education policy makers. In particular secondary education instructors with strong mathematics backgrounds are in demand across the nation in public, private, and charter school environments. <br />
<br />
The following program was designed for a math major who is interested in becoming an educator at the secondary level. Note that successful completion of the coursework outlined below would make a strong candidate for graduate work in mathematics and education at the masters level. Our own School of Education offers a [http://www.uwteach.com/mathematics.html Masters Degree in Secondary Mathematics] which concludes with state certification. <br />
<br />
''Note that a major requires at least two courses at the 500 level. Therefore you should consider the suggestions below carefully.''<br />
<br />
'''Application Courses'''<br />
* History and philosophy of mathematics: [http://www.math.wisc.edu/473-history-mathematics Math 473].<br />
* Math education capstone course: [http://www.math.wisc.edu/371-basic-concepts-mathematics Math 471]<br />
* Two additional courses from Mathematics, Computer Science, Physics, or Economics at the Intermediate or Advanced Level.<br />
** Suggested: CS 300, CS 302, Phys 207, Math 421, Math 475, Math 561, Math 567<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 (or Math 375) suggested.<br />
* College Geometry: [http://www.math.wisc.edu/461-college-geometry-i Math 461]. <br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] <br />
** Math 431 and 309 are equivalent. <br />
** [http://www.math.wisc.edu/531-probability-theory Math 531] can also be considered. This is a proof based introduction to probability and may be taken only after Math 421 or Math 521.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310] (Math 310 has a prerequisite of Math 309 or 431.)<br />
* Modern Algebra: [http://www.math.wisc.edu/441-introduction-modern-algebra Math 441] or [http://www.math.wisc.edu/541-modern-algebra 541].<br />
* Analysis: [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or [http://www.math.wisc.edu/521-advanced-calculus 521].<br />
** Math 521 is strongly suggested for students planning to teach AP Calculus in high school<br />
<br />
'''Additional Courses to Consider'''<br />
* Math 421 can be a useful course to take before the 500 level coursework.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Additional courses at the 500 level in mathematics.<br />
* Courses in computer programming, statistics, physics, economics, and finance can broaden your content areas and qualify you for more subjects.<br />
<br />
== Statistics ==<br />
Statistics is the study of the collection, measuring, and evaluation of data. Recent advances in our ability to collect and parse large amounts of data has made the field more exciting then ever before. Positions in data analysis are becoming common outside of laboratory environments: marketing, education, health, sports, infrastructure, politics, etc.<br />
<br />
Statistics has a strong relationship with mathematics. The areas of mathematics of particular interest are linear algebra, probability, and analysis.<br />
<br />
'''Application Courses'''<br />
* Core Statistics: Stat 333 and Stat 424<br />
* Statistics Electives: At least two from: Stat 349, 351, 411, 421, 456, 471, 609, or 610.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Mathematical Statistics Sequence: [http://www.math.wisc.edu/node/111 Math 309] and [http://www.math.wisc.edu/node/114 Math 310]<br />
** Math 431 may be used for Math 309.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522], [http://www.math.wisc.edu/621-analysis-iii-0 621], or [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Advanced Probability Theory [http://www.math.wisc.edu/531-probability-theory Math 531].<br />
* Algebra: [https://www.math.wisc.edu/541-modern-algebra Math 541].<br />
<br />
'''Also:'''<br />
A student who wishes to complete a major in statistics offered by the [https://www.stat.wisc.edu/undergrad/undergraduate-major-statistics Department of Statistics] should complete the program above and include:<br />
* Stat 302 and 327.<br />
* A course in programming (e.g. CS 300).<br />
* At least one more course from the statistics electives above.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Putnam_Club&diff=17018Putnam Club2019-02-21T23:16:00Z<p>Hanhart: /* Spring 2019 */</p>
<hr />
<div><br />
''Organizers: Gheorghe Craciun, Alexander Hanhart, Mihaela Ifrim, Botong Wang''<br />
<br />
The Putnam Exam, offered by the Mathematical Association of America, is the premier American math competition for undergraduate students. It is given each year on the first Saturday in December. The exam consists of 12 problems, 6 in the 3 hour morning session and 6 in the 3 hour afternoon session. Each problem is worth 10 points, so the maximum score is 120. National winners usually get around 100 points. The median score is generally around 0-2 points. This is a difficult exam with many interesting and fun problems.<br />
<br />
[http://kskedlaya.org/putnam-archive/ Old exams and more information on the Putnam competition.]<br />
<br />
The UW is also participating in the Virginia Tech Regional Mathematics Contest. This is an individual competition with seven problems in 2.5 hours. Many schools use it as a kind of rehearsal for the Putnam. You can find more information [http://www.math.vt.edu/people/plinnell/Vtregional/ over here.]<br />
<br />
We also hold our own UW Madison [[Undergraduate Math Competition]] in the spring; for this academic year, it is tentatively scheduled in April 2019.<br />
<br />
<br />
==Spring 2019==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139. '''The first meeting will be on the 6th of February in Van Vleck hall, room B139.'''<br />
<br />
'''! Important announcement:''' We will begin preparing you for the Putnam exam earlier this year. The material covered will be presented gradually. More details will be explained to you during your first meeting of this semester (Feb 6th). We put together a Piazza account that will help the participants to discuss and collaborate with their pairs. Here is the link you need to access in order to register for this "class": piazza.com/wisc/fall2018/putnam2018 . Our intervention on Piazza will be minimal (some of the instructors will, from time to time, visit the piazza questions and provide some help). Also, based on your requests, we have decided to structure our meetings in a way that will provide more insight on methods and certain tricks that are very often used in this type of math competitions. The book we will mainly use as a guide in preparing our meetings is: "Putnam and Beyond" by Razvan Gelca and Titu Andreescu. <br />
<br />
* February 6: [[Media:Putnam_Basics_2019.pdf | The basics]] by Botong<br />
* February 13: Botong<br />
* February 20: Alex [[Media:Ordered_Sets.pdf | Ordered Sets]]<br />
<br />
If this material is completely new to you then read through the definitions in the first section and try the interspersed exercises which are direct applications of the definitions. If you are familiar with the basic material then review the problem solving strategies and the example problems which directly utilize the techniques. Finally, if you are a veteran, go ahead and jump right to the exercises!<br />
* February 27: Alex: Review results from 2/20. Bring written solutions and/or be prepared to present your <br />
* March 6th: Mihaela<br />
* March 13: Mihaela<br />
etc.<br />
<br />
==Fall 2018==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139. '''The first meeting will be on the 26th of September in Van Vleck hall, room B139.'''<br />
<br />
'''! Important announcement:''' We put together a Piazza account that will help the participants to discuss and collaborate with their pairs. Here is the link you need to access in order to register for this "class": piazza.com/wisc/fall2018/putnam2018 . Our intervention on Piazza will be minimal (some of the instructors will, from time to time, visit the piazza questions and provide some help). Also, based on your requests, we have decided to structure our meetings in a way that will provide more insight on methods and certain tricks that are very often used in this type of math competitions. The book we will mainly use as a guide in preparing our meetings is: "Putnam and Beyond" by Razvan Gelca and Titu Andreescu. <br />
<br />
<br />
<br />
* September 26: topic [[Media:Putnam_26_sept_2018.pdf | Introductory meeting]] by Mihaela Ifrim. We covered only the first 3 problems. I encourage you to work out all the problems!<br />
<br />
* October 3: [[Media:Putnam_Oct_3_2018.pdf | Linear Algebra]] by George Craciun.<br />
<br />
* October 10: [[Media:Putnam polynomials 2018.pdf | Polynomials]] by Botong Wang.<br />
<br />
* October 17: [[Media:SeqPut18.pdf | Sequences]] by Alex Hanhart.<br />
<br />
* October 24: [[Media:Putnam_Oct_24th_2018.pdf | Convergence and Continuity]] by Mihaela Ifrim.<br />
<br />
* October 27: Virginia Tech Math Contest: 9-11:30am in VV B115.<br />
<br />
* October 31: [[Media:Putnam_Oct_31_2018.pdf | Geometry: cartesian coordinates, complex coordinates, circles and conics]] by George Craciun.<br />
<br />
* November 7: [[Media:Putnam_Combinatorics_2018.pdf | Combinatorics: Set theory and geometric combinatorics]] by Botong Wang.<br />
<br />
* November 14: [[Media:group.pdf | Techniques from Group Theory]] by Alex Hanhart.<br />
<br />
* November 21: '''No meeting''': Happy Thanksgiving!<br />
<br />
* November 28: [[Media:Putnam_November_28_2018.pdf | Number Theory]] by Mihaela Ifrim.<br />
<br />
* December 1: Putnam Competition! Starts at 9am!!!! '''The competition will take place December 1st 2018 (Saturday December 1st). The competition is administered in two sessions (A and B) on the same day, December 1st! Session A will start at 9 am and it will end at 12pm, and Session B will start at 2pm and it will end at 5pm. You should arrive at least 10 minutes prior to each session. You should bring your own pencils and pens (blue or black ink are permitted). Number 2 pencils with erasers will be needed to complete the identification forms. Erasers are also permitted, but nothing else will not be allowed in the exam room. I plan on bringing 20 such no 2 pencils. The exam room is B239 which is a class room located in Van Vleck Hall, at the level B2. Thank you all for participating and see you all there! If you have friends that would like to take the exam please encourage them to do so.'''<br />
<br />
==Spring 2018==<br />
<br />
The Putnam Club does not meet in the spring, but we had the fourth annual UW [[Undergraduate Math Competition]] on '''April 24th''', 2018, 5:30-8pm in VV B239.<br />
<br />
==Fall 2017==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139.<br />
<br />
* September 20: [[Media:Putnam092017.pdf | Introductory meeting]] by D.Arinkin<br />
* September 27: [[Media:Putnam092717.pdf | Equations with functions as unknowns]] by M.Ifrim (by request: here is [[Media:Putnam092717sol6.pdf | a solution to problem 6]]; problem 7 is problem B5 of 2016 Putnam exam; you can see the solution [http://kskedlaya.org/putnam-archive/2016s.pdf here]).<br />
* October 4: [[Media:Putnam100417.pdf | Inequalities ]] by G.Craciun.<br />
* October 11: [[Media:Putnam101117.pdf | Polynomials ]] by D.Arinkin.<br />
* October 18: [[Media:Putnam1(2)..pdf | Equations ]] by M. Ifrim<br />
* October 21: Virginia Tech Math Contest: 9-11:30am in VV B203.<br />
* October 25: Review of this year's [[Media:VTRMC2017.pdf | Virginia Tech Contest]] by G.Craciun.<br />
* November 1: [[Media:Putnam110117.pdf | Functions and calculus]] by D.Arinkin.<br />
* November 8: [[Media:Putnam1.pdf | Past Competitions]] by M.Ifrim<br />
* November 15: [[Media:Putnam111517.pdf | Recurrences]] by G.Craciun.<br />
* November 22: '''No meeting''': Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112917.pdf | Complex numbers]] by D.Arinkin.<br />
* December 2: '''Putnam Exam''' in VVB115. Morning session: 9-12pm; Afternoon session: 2-5pm.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the third annual UW [[Undergraduate Math Competition]] on April 19th, 2017.<br />
<br />
==Fall 2016==<br />
<br />
* September 20: [[Media:Putnam092016.pdf | Introductory meeting]]<br />
* September 27: [[Media:Putnam092716.pdf | Calculus and analysis]]<br />
* October 4: [[Media:Putnam100416.pdf | Generating functions]] (by Vlad Matei) <br />
* October 11: [[Media:UWUMC2016.pdf | Review of last year's UW Math competition]]<br />
* October 18: [[Media:Putnam101816.pdf | Functional equations]]<br />
* October 22: Virginia Tech Math Contest<br />
* October 25: Review of this year's [[Media:vtrmc16.pdf | VT contest]]<br />
* November 1: [[Media:Putnam110116.pdf | Matrices]] (by Vlad Matei)<br />
* November 15: [[Media:Putnam111516.pdf | Two algebra problems]]<br />
* November 22: No meeting: Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112916.pdf | Assorted problems]]<br />
* December 3: Putnam Exam: Morning session: 9am-noon, Afternoon session: 2-5pm in VV B135.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the second annual UW [[Undergraduate Math Competition]] on April 12th, 2016.<br />
<br />
==Fall 2015==<br />
. <br />
* September 23rd: [[Media:Putnam092315.pdf | Introductory meeting]]<br />
* September 30th: [[Media:Putnam093015.pdf | Pigeonhole principle]]<br />
* October 7th: Review of [[Media:UWUMC2015.pdf | 2015 UW math competition]]<br />
* October 14th: [[Media:Putnam101415.pdf | Matrices and determinants]]<br />
* October 21st: [[Media:Putnam102115.pdf | Virginia Tech practice]]<br />
* October 24th: Virginia Tech Regional Mathematics Contest: 9-11:30 am<br />
* October 28th: Review of the 2015 Virginia Tech contest.<br />
* November 4th: [[Media:PutnamProblemsOct12.pdf | Polynomials]]<br />
* November 11th: [[Media:PutnamProblemsNov11.pdf | Assorted problems]]<br />
* November 18th: [[Media:PutnamProblemsNov18.pdf | Assorted problems]]<br />
* No meeting on November 25th<br />
* December 2nd: TBA<br />
* December 5th: Putnam competition: Morning session: 9am-12pm, afternoon session: 2-5pm in VV B115.<br />
<br />
==Spring 2015==<br />
<br />
The Putnam Club does not meet in the spring, but we had our first UW [[Undergraduate Math Competition]]!<br />
<br />
==Fall 2014==<br />
<br />
* September 17: [[Media:Putnam091714.pdf | Introductory meeting]]<br />
* September 22: [[Media:Putnam092214.pdf | Coloring and pigeonhole principle]]<br />
* October 1st: Went through HW problems from last time<br />
* October 8th: [[Media:Putnam100814.pdf | Number theory]]<br />
* October 15th: [[Media:Putnam101514.pdf | Games]]<br />
* October 22nd: [[Media:VTRMC13.pdf | Problems from last year's Virginia Tech contest]]<br />
* October 25th: Virginia Tech Regional Mathematics Contest<br />
* October 29th: Review of this year's Virginia Tech contest<br />
* November 5th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/06-inequalities.pdf Inequalities] and [http://www.math.cmu.edu/~lohp/docs/math/2014-295/05-functional.pdf functional equations]<br />
* November 12th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/02-polynomials.pdf Polynomials]<br />
* November 19th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/10-combinatorics.pdf Combinatorics]<br />
* December 3rd: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/08-recursions.pdf Recursions]<br />
* December 6th: Putnam competition: Morning session: 9am-12pm, Afternoon session: 2pm-5pm in Van Vleck B119<br />
* December 10th: Review of [http://www.artofproblemsolving.com/Forum/resources/files/undergraduate_competitions/Undergraduate_Competitions-Putnam-2014-23 this year's Putnam]<br />
<br />
==Fall 2013==<br />
<br />
<br />
* September 11: [[Media:Putnam091113.pdf | Introductory Meeting]]<br />
* September 18: [[Media:Putnam091813.pdf | Assorted Problems]] (by Yihe Dong) <br />
* September 25: [[Media:Putnam092513.pdf | Combinatorics]]<br />
* October 2: [[Media:Putnam100213.pdf | Matrices and Linear Algebra]]<br />
* October 9: [[Media:Putnam100913.pdf | Number Theory]]<br />
* October 16: [[Media:Putnam101613.pdf | Functions and Calculus]]<br />
* October 23: [[Media:Putnam102313.pdf | Polynomials]]<br />
* October 26: Virginia Tech Regional Mathematics Contest<br />
* October 30: [[Media:VTRMC13.pdf | Problems from this year's Virginia Tech contest]]<br />
* November 6: [[Media:Putnam110413.pdf | Games]]<br />
* November 13: [[Media:Putnam111113.pdf | Pigeonhole Principle]]<br />
* November 20: [[Media:Putnam112013.pdf | Extreme Principle]]<br />
* November 27: No meeting (Thanksgiving)<br />
* December 4: TBA<br />
* December 7: Putnam competition Morning session: 9am-12pm, afternoon session: 2-5pm in VV B239.<br />
<br />
==Fall 2012==<br />
<br />
* September 11: Introduction [[Media:Putnam2012IntroProblems.pdf | Problems]]<br />
* September 18: Some Basic Techniques [[Media:Putnam2012Week1Problems.pdf | Problems]]<br />
* September 25: Polynomials and Algebra [[Media:Putnam2012Week2Problems.pdf | Problems]]<br />
* October 2: Number Theory [[Media:Putnam2012Week3Problems.pdf | Problems]]<br />
* October 9: Calculus [[Media:Putnam2012Week4Problems.pdf | Problems]]<br />
* October 16: Games and Algorithms [[Media:Putnam2012Week5Problems.pdf | Problems]]<br />
* October 23: Combinatorics [[Media:Putnam2012Week6Problems.pdf | Problems]]<br />
* October 30: Probability [[Media:Putnam2012Week7Problems.pdf | Problems]]<br />
* November 6: Linear Algebra [[Media:Putnam2012Week8Problems.pdf | Problems]]<br />
* November 13: Grab Bag [[Media:Putnam2012Week9Problems.pdf | Problems]]<br />
* November 27: Grab Bag 2 [[Media:Putnam2012Week10Problems.pdf | Problems]]<br />
<br />
==Fall 2011==<br />
<br />
* September 21: Pigeonhole Principle (Brian Rice) [[Media:PutnamProblemsSept21.pdf | Problems]]<br />
* September 28: Introduction to Counting (Brian Rice) [[Media:PutnamProblemsSept28.pdf | Problems]]<br />
* October 5: Elementary Number Theory (Brian Rice) [[Media:PutnamProblemsOct5.pdf | Problems]], [[Media:PutnamProblemsOct5Hard.pdf | Problems (Hardcore)]]<br />
* October 12: Polynomials (Brian Rice) [[Media:PutnamProblemsOct12.pdf | Problems]], [[Media:PutnamProblemsOct12Hard.pdf | Problems (Hardcore)]]<br />
* October 19: A Grab Bag of Discrete Math (Brian Rice) [[Media:PutnamProblemsOct19.pdf | Problems]]<br />
* October 26: Calculus, Week 1 (Brian Rice) [[Media:PutnamProblemsOct26.pdf | Problems]]<br />
* November 2: Calculus, Week 2 (Brian Rice) [[Media:PutnamProblemsNov2.pdf | Problems]]<br />
* November 9: Linear and Abstract Algebra (Brian Rice) [[Media: PutnamProblemsNov9.pdf | Problems]]<br />
* November 16: Mock Putnam [[Media: MockPutnamProblems.pdf | Problems]], [[Media: MockPutnamSolutions.pdf | Solutions]]</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Putnam_Club&diff=17017Putnam Club2019-02-21T23:07:41Z<p>Hanhart: /* Spring 2019 */</p>
<hr />
<div><br />
''Organizers: Gheorghe Craciun, Alexander Hanhart, Mihaela Ifrim, Botong Wang''<br />
<br />
The Putnam Exam, offered by the Mathematical Association of America, is the premier American math competition for undergraduate students. It is given each year on the first Saturday in December. The exam consists of 12 problems, 6 in the 3 hour morning session and 6 in the 3 hour afternoon session. Each problem is worth 10 points, so the maximum score is 120. National winners usually get around 100 points. The median score is generally around 0-2 points. This is a difficult exam with many interesting and fun problems.<br />
<br />
[http://kskedlaya.org/putnam-archive/ Old exams and more information on the Putnam competition.]<br />
<br />
The UW is also participating in the Virginia Tech Regional Mathematics Contest. This is an individual competition with seven problems in 2.5 hours. Many schools use it as a kind of rehearsal for the Putnam. You can find more information [http://www.math.vt.edu/people/plinnell/Vtregional/ over here.]<br />
<br />
We also hold our own UW Madison [[Undergraduate Math Competition]] in the spring; for this academic year, it is tentatively scheduled in April 2019.<br />
<br />
<br />
==Spring 2019==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139. '''The first meeting will be on the 6th of February in Van Vleck hall, room B139.'''<br />
<br />
'''! Important announcement:''' We will begin preparing you for the Putnam exam earlier this year. The material covered will be presented gradually. More details will be explained to you during your first meeting of this semester (Feb 6th). We put together a Piazza account that will help the participants to discuss and collaborate with their pairs. Here is the link you need to access in order to register for this "class": piazza.com/wisc/fall2018/putnam2018 . Our intervention on Piazza will be minimal (some of the instructors will, from time to time, visit the piazza questions and provide some help). Also, based on your requests, we have decided to structure our meetings in a way that will provide more insight on methods and certain tricks that are very often used in this type of math competitions. The book we will mainly use as a guide in preparing our meetings is: "Putnam and Beyond" by Razvan Gelca and Titu Andreescu. <br />
<br />
* February 6: [[Media:Putnam_Basics_2019.pdf | The basics]] by Botong<br />
* February 13: Botong<br />
* February 20: Alex [[Media:Ordered_Sets.pdf | Ordered Sets]]<br />
* February 27: Alex<br />
* March 6th: Mihaela<br />
* March 13: Mihaela<br />
etc.<br />
<br />
==Fall 2018==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139. '''The first meeting will be on the 26th of September in Van Vleck hall, room B139.'''<br />
<br />
'''! Important announcement:''' We put together a Piazza account that will help the participants to discuss and collaborate with their pairs. Here is the link you need to access in order to register for this "class": piazza.com/wisc/fall2018/putnam2018 . Our intervention on Piazza will be minimal (some of the instructors will, from time to time, visit the piazza questions and provide some help). Also, based on your requests, we have decided to structure our meetings in a way that will provide more insight on methods and certain tricks that are very often used in this type of math competitions. The book we will mainly use as a guide in preparing our meetings is: "Putnam and Beyond" by Razvan Gelca and Titu Andreescu. <br />
<br />
<br />
<br />
* September 26: topic [[Media:Putnam_26_sept_2018.pdf | Introductory meeting]] by Mihaela Ifrim. We covered only the first 3 problems. I encourage you to work out all the problems!<br />
<br />
* October 3: [[Media:Putnam_Oct_3_2018.pdf | Linear Algebra]] by George Craciun.<br />
<br />
* October 10: [[Media:Putnam polynomials 2018.pdf | Polynomials]] by Botong Wang.<br />
<br />
* October 17: [[Media:SeqPut18.pdf | Sequences]] by Alex Hanhart.<br />
<br />
* October 24: [[Media:Putnam_Oct_24th_2018.pdf | Convergence and Continuity]] by Mihaela Ifrim.<br />
<br />
* October 27: Virginia Tech Math Contest: 9-11:30am in VV B115.<br />
<br />
* October 31: [[Media:Putnam_Oct_31_2018.pdf | Geometry: cartesian coordinates, complex coordinates, circles and conics]] by George Craciun.<br />
<br />
* November 7: [[Media:Putnam_Combinatorics_2018.pdf | Combinatorics: Set theory and geometric combinatorics]] by Botong Wang.<br />
<br />
* November 14: [[Media:group.pdf | Techniques from Group Theory]] by Alex Hanhart.<br />
<br />
* November 21: '''No meeting''': Happy Thanksgiving!<br />
<br />
* November 28: [[Media:Putnam_November_28_2018.pdf | Number Theory]] by Mihaela Ifrim.<br />
<br />
* December 1: Putnam Competition! Starts at 9am!!!! '''The competition will take place December 1st 2018 (Saturday December 1st). The competition is administered in two sessions (A and B) on the same day, December 1st! Session A will start at 9 am and it will end at 12pm, and Session B will start at 2pm and it will end at 5pm. You should arrive at least 10 minutes prior to each session. You should bring your own pencils and pens (blue or black ink are permitted). Number 2 pencils with erasers will be needed to complete the identification forms. Erasers are also permitted, but nothing else will not be allowed in the exam room. I plan on bringing 20 such no 2 pencils. The exam room is B239 which is a class room located in Van Vleck Hall, at the level B2. Thank you all for participating and see you all there! If you have friends that would like to take the exam please encourage them to do so.'''<br />
<br />
==Spring 2018==<br />
<br />
The Putnam Club does not meet in the spring, but we had the fourth annual UW [[Undergraduate Math Competition]] on '''April 24th''', 2018, 5:30-8pm in VV B239.<br />
<br />
==Fall 2017==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139.<br />
<br />
* September 20: [[Media:Putnam092017.pdf | Introductory meeting]] by D.Arinkin<br />
* September 27: [[Media:Putnam092717.pdf | Equations with functions as unknowns]] by M.Ifrim (by request: here is [[Media:Putnam092717sol6.pdf | a solution to problem 6]]; problem 7 is problem B5 of 2016 Putnam exam; you can see the solution [http://kskedlaya.org/putnam-archive/2016s.pdf here]).<br />
* October 4: [[Media:Putnam100417.pdf | Inequalities ]] by G.Craciun.<br />
* October 11: [[Media:Putnam101117.pdf | Polynomials ]] by D.Arinkin.<br />
* October 18: [[Media:Putnam1(2)..pdf | Equations ]] by M. Ifrim<br />
* October 21: Virginia Tech Math Contest: 9-11:30am in VV B203.<br />
* October 25: Review of this year's [[Media:VTRMC2017.pdf | Virginia Tech Contest]] by G.Craciun.<br />
* November 1: [[Media:Putnam110117.pdf | Functions and calculus]] by D.Arinkin.<br />
* November 8: [[Media:Putnam1.pdf | Past Competitions]] by M.Ifrim<br />
* November 15: [[Media:Putnam111517.pdf | Recurrences]] by G.Craciun.<br />
* November 22: '''No meeting''': Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112917.pdf | Complex numbers]] by D.Arinkin.<br />
* December 2: '''Putnam Exam''' in VVB115. Morning session: 9-12pm; Afternoon session: 2-5pm.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the third annual UW [[Undergraduate Math Competition]] on April 19th, 2017.<br />
<br />
==Fall 2016==<br />
<br />
* September 20: [[Media:Putnam092016.pdf | Introductory meeting]]<br />
* September 27: [[Media:Putnam092716.pdf | Calculus and analysis]]<br />
* October 4: [[Media:Putnam100416.pdf | Generating functions]] (by Vlad Matei) <br />
* October 11: [[Media:UWUMC2016.pdf | Review of last year's UW Math competition]]<br />
* October 18: [[Media:Putnam101816.pdf | Functional equations]]<br />
* October 22: Virginia Tech Math Contest<br />
* October 25: Review of this year's [[Media:vtrmc16.pdf | VT contest]]<br />
* November 1: [[Media:Putnam110116.pdf | Matrices]] (by Vlad Matei)<br />
* November 15: [[Media:Putnam111516.pdf | Two algebra problems]]<br />
* November 22: No meeting: Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112916.pdf | Assorted problems]]<br />
* December 3: Putnam Exam: Morning session: 9am-noon, Afternoon session: 2-5pm in VV B135.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the second annual UW [[Undergraduate Math Competition]] on April 12th, 2016.<br />
<br />
==Fall 2015==<br />
. <br />
* September 23rd: [[Media:Putnam092315.pdf | Introductory meeting]]<br />
* September 30th: [[Media:Putnam093015.pdf | Pigeonhole principle]]<br />
* October 7th: Review of [[Media:UWUMC2015.pdf | 2015 UW math competition]]<br />
* October 14th: [[Media:Putnam101415.pdf | Matrices and determinants]]<br />
* October 21st: [[Media:Putnam102115.pdf | Virginia Tech practice]]<br />
* October 24th: Virginia Tech Regional Mathematics Contest: 9-11:30 am<br />
* October 28th: Review of the 2015 Virginia Tech contest.<br />
* November 4th: [[Media:PutnamProblemsOct12.pdf | Polynomials]]<br />
* November 11th: [[Media:PutnamProblemsNov11.pdf | Assorted problems]]<br />
* November 18th: [[Media:PutnamProblemsNov18.pdf | Assorted problems]]<br />
* No meeting on November 25th<br />
* December 2nd: TBA<br />
* December 5th: Putnam competition: Morning session: 9am-12pm, afternoon session: 2-5pm in VV B115.<br />
<br />
==Spring 2015==<br />
<br />
The Putnam Club does not meet in the spring, but we had our first UW [[Undergraduate Math Competition]]!<br />
<br />
==Fall 2014==<br />
<br />
* September 17: [[Media:Putnam091714.pdf | Introductory meeting]]<br />
* September 22: [[Media:Putnam092214.pdf | Coloring and pigeonhole principle]]<br />
* October 1st: Went through HW problems from last time<br />
* October 8th: [[Media:Putnam100814.pdf | Number theory]]<br />
* October 15th: [[Media:Putnam101514.pdf | Games]]<br />
* October 22nd: [[Media:VTRMC13.pdf | Problems from last year's Virginia Tech contest]]<br />
* October 25th: Virginia Tech Regional Mathematics Contest<br />
* October 29th: Review of this year's Virginia Tech contest<br />
* November 5th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/06-inequalities.pdf Inequalities] and [http://www.math.cmu.edu/~lohp/docs/math/2014-295/05-functional.pdf functional equations]<br />
* November 12th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/02-polynomials.pdf Polynomials]<br />
* November 19th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/10-combinatorics.pdf Combinatorics]<br />
* December 3rd: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/08-recursions.pdf Recursions]<br />
* December 6th: Putnam competition: Morning session: 9am-12pm, Afternoon session: 2pm-5pm in Van Vleck B119<br />
* December 10th: Review of [http://www.artofproblemsolving.com/Forum/resources/files/undergraduate_competitions/Undergraduate_Competitions-Putnam-2014-23 this year's Putnam]<br />
<br />
==Fall 2013==<br />
<br />
<br />
* September 11: [[Media:Putnam091113.pdf | Introductory Meeting]]<br />
* September 18: [[Media:Putnam091813.pdf | Assorted Problems]] (by Yihe Dong) <br />
* September 25: [[Media:Putnam092513.pdf | Combinatorics]]<br />
* October 2: [[Media:Putnam100213.pdf | Matrices and Linear Algebra]]<br />
* October 9: [[Media:Putnam100913.pdf | Number Theory]]<br />
* October 16: [[Media:Putnam101613.pdf | Functions and Calculus]]<br />
* October 23: [[Media:Putnam102313.pdf | Polynomials]]<br />
* October 26: Virginia Tech Regional Mathematics Contest<br />
* October 30: [[Media:VTRMC13.pdf | Problems from this year's Virginia Tech contest]]<br />
* November 6: [[Media:Putnam110413.pdf | Games]]<br />
* November 13: [[Media:Putnam111113.pdf | Pigeonhole Principle]]<br />
* November 20: [[Media:Putnam112013.pdf | Extreme Principle]]<br />
* November 27: No meeting (Thanksgiving)<br />
* December 4: TBA<br />
* December 7: Putnam competition Morning session: 9am-12pm, afternoon session: 2-5pm in VV B239.<br />
<br />
==Fall 2012==<br />
<br />
* September 11: Introduction [[Media:Putnam2012IntroProblems.pdf | Problems]]<br />
* September 18: Some Basic Techniques [[Media:Putnam2012Week1Problems.pdf | Problems]]<br />
* September 25: Polynomials and Algebra [[Media:Putnam2012Week2Problems.pdf | Problems]]<br />
* October 2: Number Theory [[Media:Putnam2012Week3Problems.pdf | Problems]]<br />
* October 9: Calculus [[Media:Putnam2012Week4Problems.pdf | Problems]]<br />
* October 16: Games and Algorithms [[Media:Putnam2012Week5Problems.pdf | Problems]]<br />
* October 23: Combinatorics [[Media:Putnam2012Week6Problems.pdf | Problems]]<br />
* October 30: Probability [[Media:Putnam2012Week7Problems.pdf | Problems]]<br />
* November 6: Linear Algebra [[Media:Putnam2012Week8Problems.pdf | Problems]]<br />
* November 13: Grab Bag [[Media:Putnam2012Week9Problems.pdf | Problems]]<br />
* November 27: Grab Bag 2 [[Media:Putnam2012Week10Problems.pdf | Problems]]<br />
<br />
==Fall 2011==<br />
<br />
* September 21: Pigeonhole Principle (Brian Rice) [[Media:PutnamProblemsSept21.pdf | Problems]]<br />
* September 28: Introduction to Counting (Brian Rice) [[Media:PutnamProblemsSept28.pdf | Problems]]<br />
* October 5: Elementary Number Theory (Brian Rice) [[Media:PutnamProblemsOct5.pdf | Problems]], [[Media:PutnamProblemsOct5Hard.pdf | Problems (Hardcore)]]<br />
* October 12: Polynomials (Brian Rice) [[Media:PutnamProblemsOct12.pdf | Problems]], [[Media:PutnamProblemsOct12Hard.pdf | Problems (Hardcore)]]<br />
* October 19: A Grab Bag of Discrete Math (Brian Rice) [[Media:PutnamProblemsOct19.pdf | Problems]]<br />
* October 26: Calculus, Week 1 (Brian Rice) [[Media:PutnamProblemsOct26.pdf | Problems]]<br />
* November 2: Calculus, Week 2 (Brian Rice) [[Media:PutnamProblemsNov2.pdf | Problems]]<br />
* November 9: Linear and Abstract Algebra (Brian Rice) [[Media: PutnamProblemsNov9.pdf | Problems]]<br />
* November 16: Mock Putnam [[Media: MockPutnamProblems.pdf | Problems]], [[Media: MockPutnamSolutions.pdf | Solutions]]</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=File:Ordered_Sets.pdf&diff=17016File:Ordered Sets.pdf2019-02-21T23:06:18Z<p>Hanhart: Notes and exercises using ordering concepts</p>
<hr />
<div>Notes and exercises using ordering concepts</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Option_2_packages&diff=16570Option 2 packages2018-12-19T20:05:44Z<p>Hanhart: /* Statistics */</p>
<hr />
<div>The '''Option 2 math major''' requires six math courses and four courses in an area of application. These four courses are required to have a certain mathematical content. They should also form a coherent collection of courses that reflect a plan to study some discipline outside of mathematics that uses a fair amount of mathematics. The selection of the four courses, together with the six required math courses must be approved by the student's advisor. This page lists some sample packages in several popular areas.<br />
<br />
== Economics and Business ==<br />
<br />
=== Actuarial Mathematics ===<br />
Actuaries use techniques in mathematics and statistics to evaluate risk in a variety of areas including insurance, finance, healthcare, and even criminal justice. In recent history the field has been revolutionized by advances in the theory of probability and the ability to access, store, and process very large data sets.<br />
<br />
Professional actuaries are currently in demand, have lucrative pay, and is a growth field [http://www.bls.gov/ooh/math/actuaries.htm]. Similar to some other fields (law, accounting, etc.) there are professional organizations which administer a series of examinations [http://www.beanactuary.org/exams/]. Oftentimes students complete some of these examinations before graduating which allows them to move right into a career (Note: these exams are not required for graduation).<br />
<br />
Students who are interested in actuarial mathematics should consider coursework in probability, statistics, analysis, as well as computational mathematics.<br />
<br />
'''Application Courses'''<br />
* [http://www.math.wisc.edu/node/96 Math 303]<br />
<br />
* Act. Sci 650 and 652<br />
<br />
* Act. Sci. 651 or 653<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521. <br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
** Has the prerequisite: one of the probability courses mentioned above AND an elementary stats class (Stat 302 is recommended).<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Linear Programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
'''Additional Courses to Consider'''<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
<br />
'''Also:''' Students interested in the areas of mathematics with applications to actuarial science might consider the following as well:<br />
<br />
* Advanced courses offered by the [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Department of Statistics].<br />
<br />
* A [http://bus.wisc.edu/knowledge-expertise/academic-departments/actuarial-science-risk-management-insurance program] offered by the UW-Madison School of Business.<br />
<br />
=== Business ===<br />
Applications of mathematics to business is often referred to as Operations Research or Management Science. Specifically, the goal is to use mathematics to make the best decisions in a variety of areas: searching, routing, scheduling, transport, etc.<br />
<br />
The modern version of the field grew out of the work mathematicians did in order to aid the Allied war effort during world war II.[http://www.history.army.mil/html/books/hist_op_research/CMH_70-102-1.pdf] Since then, the field has grown into a robust and active area of research and scholarship including several journals and professional organizations.[http://www.informs.org/]<br />
<br />
Students interested in applications of mathematics to business can find many employment opportunities in private corporations, government agencies, nonprofit enterprises, and more. Students can also move onto postgraduate programs in mathematics or business.<br />
<br />
'''Application Courses'''<br />
* Linear programming and Optimization: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Note that this course cannot also be used as a core math course.<br />
* Operations Research: OTM 410<br />
* At least two from the following: Gen Bus 306, Gen Bus 307; OTM 451, 411, 633, 654<br />
** Note that OTM 633 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/111 Math/Stat 310]<br />
<br />
* Computational Mathematics: [https://www.math.wisc.edu/514-numerical-analysis Math 514] or [http://www.math.wisc.edu/513-numerical-linear-algebra 513]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastics: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics.<br />
* [http://www.math.wisc.edu/633-queueing-theory-and-stochastic-modeling Math 633].<br />
<br />
'''Also:''' Consider a program in the UW-Madison [http://bus.wisc.edu/bba/academics-and-programs/majors/operations-technology-management School of Business].<br />
<br />
=== Economics ===<br />
Economics is perhaps the most mathematical of the social sciences. Specifically economists wish to model and understand the behavior of individuals (people, countries, animals, etc.). Typically this is done by quantifying some elements of interest to the individuals.<br />
<br />
Due to the quantitative nature of the field, economic theory has begun to move from the classic areas of markets, products, supply, demand, etc. and into many seemingly unrelated areas: law, psychology, political science, biology, and more.[http://en.wikipedia.org/wiki/Economics_imperialism]<br />
<br />
Regardless, the backbone of economics and economic theory is mathematics. The classical area of mathematics most often related with economics is analysis. <br />
<br />
'''Application Courses'''<br />
* Microeconomics: Econ 301 or 311.<br />
* Macroeconomics: Econ 302 or 312.<br />
* Economic Electives: At least two courses from Econ 410, 460, 475, 503, 521, 525, and 666; Math 310 and Math 415.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Linear programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in the [http://www.econ.wisc.edu/undergrad/Reqs%20for%20Major.html Department of Economics].<br />
<br />
=== Finance ===<br />
Financial mathematics is more popular than ever with financial firms hiring "quants" from all areas of mathematics and the natural sciences. Financial markets are of interest to mathematicians due to the difficult nature of modeling the complex systems. The standard tools involved are evolutionary differential equations, measure theory, and stochastic calculus.<br />
<br />
'''Application Courses'''<br />
* Statistics: Econ 410 or Math/Stat 310.<br />
* Finance core: Finance 300, 320, 330.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Mat 619].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522] and [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Linear Programming (optimization): [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in [http://bus.wisc.edu/bba/academics-and-programs/majors/finance Finance] at the the Wisconsin School of Business.<br />
<br />
== Physical Sciences ==<br />
The physical sciences and mathematics have grown hand-in-hand since antiquity.<br />
Students with strong backgrounds in mathematics who are also interested in a branch of the physical sciences can find opportunities in laboratories, engineering firms, education, finance, law, business, and medicine. Those with very strong academic records can find themselves as preferred candidates for graduate study in their choice of field.<br />
<br />
The following sample programs in mathematics have strong relationships with a particular area of interest in the natural sciences.<br />
<br />
=== Atmospheric & Oceanic Sciences ===<br />
Weather and climate is determined by the interaction between two thin layers which cover the planet: The oceans and the atmosphere. Understanding how these two fluids act and interact allow humans to describe historical climate trends, forecast near future weather with incredible accuracy, and hopefully describe long term climate change which will affect the future of human society.<br />
<br />
A student interested in atmospheric and oceanic studies who has a strong mathematics background can find a career working in local, national, and international meteorological laboratories. These include private scientific consulting businesses as well as public enterprises. Students interested in graduate study could find their future studies supported by the National Science Foundation, the Department of Energy, NASA, or others [http://www.nsf.gov/funding/]. There is a large amount of funding available in the area due to the relevance research findings have on energy and economic policy.<br />
<br />
Mathematicians who work in Atmospheric and oceanic studies are drawn to the complexities of the problems and the variety of methods in both pure and applied mathematics which can be brought to bear on them. Students should take coursework in methods of applied mathematics, differential equations, computational mathematics, and differential geometry and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* ATM OCN 310, 311, and 330 [http://www.aos.wisc.edu/education/Syllabus/courses_majors.html]<br />
** 310 and 330 have Physics 208/248 as a prerequisite.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322]<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619]<br />
<br />
'''Also:''' Students who are interested in this area might consider <br />
* A program offered by the [http://www.aos.wisc.edu/education/undergrad_program.htm Department of Atmospheric and Oceanic Sciences].<br />
* The [http://www.math.wisc.edu/amep AMEP] program.<br />
<br />
=== Chemistry ===<br />
The applications of mathematics to chemistry range from the mundane: Ratios for chemical reactants; to the esoteric: Computational methods in quantum chemistry. Research in this latter topic lead to a Nobel Prize in Chemistry to mathematician [http://www.nobelprize.org/nobel_prizes/chemistry/laureates/1998/index.html John Pople].<br />
<br />
All areas of pure and applied mathematics have applications in modern chemistry. The most accessible track features coursework focusing on applied analysis and computational math. Students with a strong interest in theoretical mathematics should also consider modern algebra (for group theory) and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* Analytical Chemistry: Chem 327 or Chem 329[http://www.chem.wisc.edu/content/courses]<br />
** Prerequisite: Chem 104 or 109 <br />
* Physical Chemistry: Chem 561 and 562<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 320 recommended.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Math 513 or 514 suggested.<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Several higher level courses have connections to theoretical chemistry: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
** Any of these courses are acceptable in lieu of the 500 level courses above.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.chem.wisc.edu/content/undergraduate Department of Chemistry].<br />
<br />
=== Physics ===<br />
Perhaps the subject with the strongest historical ties with mathematics is physics. Certainly some of the great physical theories have been based on novel applications of mathematical theory or the invention of new subjects in the field: Newtonian mechanics and calculus, relativity and Riemannian geometry, quantum theory and functional analysis, etc.<br />
<br />
Nearly all mathematics courses offered here at UW Madison will have some applications to physics. The following is a collection of courses which would support general interest in physics.<br />
<br />
'''Application Courses'''<br />
* Mechanics, Electricity, and Magnetism: [http://www.physics.wisc.edu/academics/undergrads/inter-adv-311 Physics 311] and [http://www.physics.wisc.edu/academics/undergrads/inter-adv-322 Physics 322]<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 421 is suggested to prepare students for math 521.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. See suggested courses below.<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* ODEs: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
* PDEs: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619].<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541].<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
* Differential Geometry [http://www.math.wisc.edu/561-differential-geometry Math 561].<br />
* Complex Analysis: [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/514-numerical-analysis 514].<br />
<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
=== Astronomy ===<br />
The Astronomy package has the same mathematics core, but different suggested application courses:<br />
<br />
'''Application Courses'''<br />
* Astronomy core: Choose two courses from Astron 310, 320, or 335.<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. Suggested courses are: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses above the 500 level.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
== Biological Sciences ==<br />
Applications of mathematics to biology has undergone a recent boom. Historically, the biologist was perhaps most interested in applications of calculus, but now nearly any modern area of mathematical research has an application to some biological field[http://www.ams.org/notices/199509/hoppensteadt.pdf]. The following lists some possibilities.<br />
<br />
=== Bio-Informatics ===<br />
Bioinformatics is the application of computational methods to understand biological information. Of course the most interesting items of biological information is genetic and genomic information. Considering that the human genome has over three billion basepairs [http://www.genome.gov/12011238], it's no wonder that many mathematicians find compelling problems in the area to devote their time.<br />
<br />
Students with strong mathematical backgrounds who are interested in bioinformatics can find careers as a part of research teams in public and private laboratories across the world [http://www.bioinformatics.org/jobs/]. Moreover, many universities have established interdisciplinary graduate programs promoting this intersection of mathematics, biology, and computer science [http://ils.unc.edu/informatics_programs/doc/Bioinformatics_2006.html].<br />
<br />
Students interested in bioinformatics should have a strong background in computational mathematics and probability. Students should also have a strong programming background.<br />
<br />
'''Application Courses'''<br />
* Computer Science: CS 300 and CS 400 (or CS 302 and CS 367).<br />
* Bioinformatics: [http://www.biostat.wisc.edu/content/bmi-576-introduction-bioinformatics BMI/CS 576]<br />
* Genetics: Gen 466<br />
** Note that this class has a prerequisite of a year of chemistry and a year of biology coursework. Please contact the UW-Madison [http://www.genetics.wisc.edu/UndergraduateProgram.htm genetics] program for more information.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: At least three of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
<br />
'''Also''' <br />
* Consider a program in [http://www.cs.wisc.edu/academics/Undergraduate-Programs Computer Science] or [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
* Complete this major with a few additional courses if you are interested in medical school [http://prehealth.wisc.edu/explore/documents/Pre-Med.pdf].<br />
<br />
=== Bio-Statistics ===<br />
Biostatistics is the application of mathematical statistical methods to areas of biology. Historically, one could consider the field to have been founded by Gregor Mendel himself. He used basic principles of statistics and probability to offer a theory for which genetic traits would arise from cross hybridization of plants and animals. His work was forgotten for nearly fifty years before it was rediscovered and become an integral part of modern genetic theory.<br />
<br />
Beyond applications to genetics, applications of biostatistics range from public health policy to evaluating laboratory experimental results to tracking population dynamics in the field. Currently, health organizations consider there to be a shortage of trained biostatisticians[http://www.amstat.org/careers/biostatistics.cfm]. Students interested in this area should find excellent job prospects.<br />
<br />
Students interested in biostatistics should have strong backgrounds in probability, statistics, and computational methods.<br />
<br />
'''Application Courses'''<br />
* Statistics: Any four from Stat 333, 424, 575, 641, and 642 [http://www.stat.wisc.edu/course-listing]<br />
** Stat 333 has as a prerequisite some experience with statistical software. This can be achieved by also registering for Stat 327. Stat 327 is a single credit course which does not count for the mathematics major.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* More courses in computational mathematics listed above.<br />
* [http://www.math.wisc.edu/635-introduction-brownian-motion-and-stochastic-calculus Math 635]<br />
<br />
'''Also'''<br />
* Consider a program with [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Statistics] or in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences].<br />
* Compare this major program to requirements for Medical School.<br />
<br />
=== Ecology, Forestry, Wildlife Ecology ===<br />
Applications of advanced mathematics to ecology has resulted in science's improved ability to track wild animal populations, predict the spread of diseases, model the impact of humans on native wildlife, control invasive species, and more. Modeling in this area is mathematically interesting due to the variety of scales and the inherent difficulty of doing science outside of a laboratory! As such the methods of deterministic and stochastic models are particularly useful.<br />
<br />
'''Application Courses'''<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Computational Methods: [http://www.cs.wisc.edu/courses/412 CS 412].<br />
* Any two courses from [http://zoology.wisc.edu/courses/courselist.htm Zoo 460, 504, and 540]; or [http://forestandwildlifeecology.wisc.edu/undergraduate-study-courses F&W Ecol 300, 410, 460, 531, 652, and 655].<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Stochastic Processes: Either [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
=== Genetics ===<br />
Applications of mathematics in genetics appear on a wide range of scales: chemical processes, cellular processes, organism breeding, and speciation. For applications of mathematics in genetics on the scale of chemical processes you might want to examine the suggested packages for bioinformatics or structural biology. If instead you are interested in the larger scale of organisms you might consider the package in biostatistics or the one below:<br />
<br />
'''Application Courses'''<br />
* Any four courses chosen from: GEN 466, 564, 565, 626, 629, and BMI 563.[http://www.genetics.wisc.edu/UndergraduateProgram.htm]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended for non-honors students.<br />
<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
* Consider a program in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences] such as [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
<br />
=== Structural Biology ===<br />
Structural biologists are primarily interested in the large molecules which are involved in cellular processes: the fundamental chemical building blocks of life. The field lies on the intersection of biology, physics, chemistry, and mathematics and so structural biology is an exciting area of interdisciplinary research.<br />
<br />
In general, the mathematics involved in structural biology is focused on computational methods, probability, and statistics. Note that we offer a specialized course in Mathematics Methods in Structural Biology - Math 606.<br />
<br />
'''Application Courses'''<br />
* Analytical Methods in Chemistry: Chem 327 or 329<br />
* Physical Chemistry: Chem 561 and 562<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/mathematical-methods-structural-biology Math 606]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [https://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
=== Systems Biology ===<br />
Systems biology is the computational and mathematical modeling of biological systems at any scale. The classical example of this may be the [http://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equation predator-prey] model of differential equations which describe the relative population dynamics of two species. Other systems examples include disease transmission, chemical pathways, cellular processes, and more.<br />
<br />
In general, the mathematics involved in systems biology is focused on computational methods, dynamical systems, differential equations, the mathematics of networks, control theory, and others. Note that we offer a specialized course in Mathematical Methods in Systems Biology - Math 609.<br />
<br />
'''Application Courses'''<br />
* Organic Chemistry: Chem 341 or 343<br />
* Introductory Biochemistry: Biochem 501<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/609-mathematical-methods-systems-biology Math 609]<br />
* One Biochem elective: Any Biochem class numbered above 600. Suggested courses are Biochem 601, 612, 620, 621, 624, and 630.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
<br />
'''Additional Courses to Consider'''<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses in computational mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
== Engineering ==<br />
Engineering is the application of science and mathematics to the invention, improvement, and maintenance of anything and everything. As with many of the sciences, engineers and mathematicians have a symbiotic relationship: Engineers use mathematics to make new things; the new things exhibit novel properties that are mathematically interesting.<br />
<br />
In general all of mathematics can be applied to some field of engineering. However the programs offered below are not substitutes for engineering degrees. That is, student who are interested in an engineering career upon completion of their undergraduate degree should probably enroll in one of the engineering programs offered by the [http://www.engr.wisc.edu/current/undergrad.html College of Engineering]. Similarly, students who are primarily interested in mathematics might instead choose an option I major and concentrate their upper level coursework in applied mathematics. Students who are truly interested in both areas should consider the degree program in [http://www.math.wisc.edu/amep Applied Mathematics, Engineering, and Physics].<br />
<br />
So who do the programs below serve? They serve engineering students who wish to take a second major in mathematics. In general such students are excellent candidates for graduate study in engineering.<br />
<br />
=== Chemical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Chemical Engineering who are interested in pursuing a second major in mathematics.<br />
<br />
'''Application Courses'''<br />
* [http://www.engr.wisc.edu/cmsdocuments/cbe-undergrade-handbook-2009-v7.pdf CBE 320, 326, 426, 470]<br />
** Note: All of these course are required for the undergraduate program in chemical engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), complex analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]), and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
=== Civil Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Civil and Environmental Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Fluid Mechanics and Structural Analysis: [http://courses.engr.wisc.edu/cee/ CIV ENG 310, 311, 340]<br />
** Note: All of these course are required for the undergraduate program in civil engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective Structural Analysis Course: CIV ENG 440, 442, 445, or 447.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]); and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], and [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
=== Electrical and Computer Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Computer and Electrical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core ECE: [http://courses.engr.wisc.edu/ece/ ECE 220, 230, 352]<br />
** Note: All of these course are required for the undergraduate program in electrical and computer engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective: ECE 435, 525, or 533.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
** ECE 435 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* At least two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), linear programming [http://www.math.wisc.edu/525-linear-programming-methods Math 525], modern algebra [http://www.math.wisc.edu/541-modern-algebra Math 541], differential geometry [http://www.math.wisc.edu/561-differential-geometry Math 561], and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
* Error correcting codes: [http://www.math.wisc.edu/641-introduction-error-correcting-codes Math 641]<br />
<br />
===Engineering Mechanics and Astronautics===<br />
The following program details an option 2 package for students in the College of Engineering program in Engineering Mechanics and Astronautics who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Engineering Mechanics: [http://courses.engr.wisc.edu/ema/ EMA 201, 202, 303]<br />
* One elective: EMA 521, 542, 545, or 563<br />
** All of the above courses may be used to satisfy the EMA program requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525]), and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
<br />
=== Industrial Engineering ===<br />
Industrial engineering is the application of engineering principles to create the most effective means of production. In particular, they work to optimize complex systems.<br />
<br />
'''Application Courses[http://www.engr.wisc.edu/isye/isye-curriculum-documents.html]'''<br />
* Core Industrial engineering: I SY E 315, 320, and 323.<br />
* Industrial Engineering Elective: At least one of I SY E 425, 516, 525, 526, 558, 575, 615, 620, 624, 635, or 643.<br />
** Note: ISYE 425 and 525 are both crosslisted with math and cannot be used to complete both the application and core math requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Both 309 and 431 are preferred over stat 311.<br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Numerical Analysis: [http://www.math.wisc.edu/514-numerical-analysis Math 514].<br />
<br />
'''Also:'''<br />
Consider the program in [http://www.engr.wisc.edu/isye/isye-academics-undergraduate-program.html Industrial Engineering] offered by the College of Engineering.<br />
<br />
=== Materials Science ===<br />
The following program details an option 2 package for students in the College of Engineering program in Materials Science and Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Materials Courses: [http://www.engr.wisc.edu/cmsdocuments/Degree_requirements_2014.pdf MSE 330, 331, and 351]<br />
* One Engineering Elective: CBE 255, CS 300, CS 302, CS 310, ECE 230, ECE 376, EMA 303, Phys 321, Stat 424].<br />
** All of the above classes may be used to satisfy the program requirements for MS&E BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Mechanical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Mechanical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Mechanical Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/me-flowchart-spring-2014.pdf ME 340, 361, 363, 364]<br />
** All of the above courses are required by the Mechanical Engineering program.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Nuclear Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Nuclear Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Nuclear Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/NE-UGguide2014.pdf NE 305, 405, and 408]<br />
* One Engineering Elective: Physics 321 or 322, ECE 376, BME 501, or NE 411.<br />
** All of the above classes may be used to satisfy the program requirements for the Nuclear Engineering BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
* Additional courses above the 500 level listed above.<br />
<br />
== Computer Science ==<br />
Computer science as an independent discipline is rather young: The first computer science degree program offered in the United States was formed in 1962 (at Purdue University). Despite its youth, one could argue that no single academic discipline has had more of an effect on human society since the scientific revolution.<br />
<br />
Since computer science is foremost concerned with the theory of computation, its link with mathematics is robust. Historical examples include Alan Turing, A mathematician and WWII cryptoanalyst who's theory of the Universal Turing Machine forms the central framework of modern computation; and John Von Neumann, A mathematician who's name is ascribed to the architecture still used for nearly all computers today.[https://web.archive.org/web/20130314123032/http://qss.stanford.edu/~godfrey/vonNeumann/vnedvac.pdf] There are broad overlaps in reasearch in the two fields. For example, one of the most famous unsolved problems in mathematics, the [http://www.claymath.org/millenium-problems/p-vs-np-problem P vs NP] problem, is also considered an open problem in the theory of computation.<br />
<br />
Since computer science is a full field enveloping philosophy, mathematics, and engineering there are many possible areas of interest which a student of mathematics and computer science might focus on. Below are several examples.<br />
<br />
=== Computational Methods ===<br />
Computational methods are the algorithms a computer follows in order to perform a specific task. Of interest besides the algorithms is methods for evaluating their quality and efficiency. Since computational mathematics is on the interface between pure and applied methods students who concentrate in this area can find many exciting research opportunities available at the undergraduate level. <br />
<br />
The mathematical coursework focuses on combinatorics, analysis, and numerical methods. <br />
<br />
'''Application Courses'''<br />
* Any four courses from: CS 352, 367, 400, 412, 435, 475, 513, 514, 515, 520, 525, 533, 540, 545, 558, 559, and 577.<br />
** Note that 435, 475, 513, 514, 515, and 525 are crosslisted with math. They may not be used as both application courses and core mathematics courses<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Advanced Calculus [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] and/or [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics above.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Analysis II: [http://www.math.wisc.edu/522-advanced-calculus Math 522].<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542].<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567].<br />
* Logic: [http://www.math.wisc.edu/571-mathematical-logic Math 571].<br />
<br />
'''Also:'''<br />
Consider the program in the [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science].<br />
<br />
=== Theoretical Computer Science ===<br />
If you are interested in a more theoretical bend to your studies, follow the program above but with the following changes:<br />
* Include both CS 520 and CS 577 into your core applied courses.<br />
* Replace the two computational methods courses with Math 567 and Math 571.<br />
<br />
=== Cryptography ===<br />
Due to the widespread use of computer storage, platforms, and devices; security is now of singular interest. Students with expertise in the mathematics associated with cryptography can find interesting opportunities after graduation in public and private security sectors.<br />
<br />
The mathematics associated to secure messaging and cryptography is typically centered on combinatorics and number theory.<br />
<br />
'''Application Courses'''<br />
* Programming: CS 300 and CS 400 (or CS 302 and 367).<br />
* One of the following two pairs:<br />
** The CS track: Operating systems (CS 537) and Security (CS 642)<br />
** The ECE track: Digital Systems: (ECE 352) and Error Correcting Codes (ECE 641).<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Cryptography: [http://www.math.wisc.edu/435-introduction-cryptography Math 435]<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567]<br />
<br />
'''Additional Courses to Consider'''<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Also:'''<br />
Consider combining the programs offered by [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science] or [http://www.engr.wisc.edu/ece/ece-academics-undergraduate-program.html Computer Engineering].<br />
<br />
== Secondary Education ==<br />
The so called STEM fields continue to be a major area of interest and investment for education policy makers. In particular secondary education instructors with strong mathematics backgrounds are in demand across the nation in public, private, and charter school environments. <br />
<br />
The following program was designed for a math major who is interested in becoming an educator at the secondary level. Note that successful completion of the coursework outlined below would make a strong candidate for graduate work in mathematics and education at the masters level. Our own School of Education offers a [http://www.uwteach.com/mathematics.html Masters Degree in Secondary Mathematics] which concludes with state certification. <br />
<br />
''Note that a major requires at least two courses at the 500 level. Therefore you should consider the suggestions below carefully.''<br />
<br />
'''Application Courses'''<br />
* History and philosophy of mathematics: [http://www.math.wisc.edu/473-history-mathematics Math 473].<br />
* Math education capstone course: [http://www.math.wisc.edu/371-basic-concepts-mathematics Math 471]<br />
* Two additional courses from Mathematics, Computer Science, Physics, or Economics at the Intermediate or Advanced Level.<br />
** Suggested: CS 300, CS 302, Phys 207, Math 421, Math 475, Math 561, Math 567<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 (or Math 375) suggested.<br />
* College Geometry: [http://www.math.wisc.edu/461-college-geometry-i Math 461]. <br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] <br />
** Math 431 and 309 are equivalent. <br />
** [http://www.math.wisc.edu/531-probability-theory Math 531] can also be considered. This is a proof based introduction to probability and may be taken only after Math 421 or Math 521.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310] (Math 310 has a prerequisite of Math 309 or 431.)<br />
* Modern Algebra: [http://www.math.wisc.edu/441-introduction-modern-algebra Math 441] or [http://www.math.wisc.edu/541-modern-algebra 541].<br />
* Analysis: [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or [http://www.math.wisc.edu/521-advanced-calculus 521].<br />
** Math 521 is strongly suggested for students planning to teach AP Calculus in high school<br />
<br />
'''Additional Courses to Consider'''<br />
* Math 421 can be a useful course to take before the 500 level coursework.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Additional courses at the 500 level in mathematics.<br />
* Courses in computer programming, statistics, physics, economics, and finance can broaden your content areas and qualify you for more subjects.<br />
<br />
== Statistics ==<br />
Statistics is the study of the collection, measuring, and evaluation of data. Recent advances in our ability to collect and parse large amounts of data has made the field more exciting then ever before. Positions in data analysis are becoming common outside of laboratory environments: marketing, education, health, sports, infrastructure, politics, etc.<br />
<br />
Statistics has a strong relationship with mathematics. The areas of mathematics of particular interest are linear algebra, probability, and analysis.<br />
<br />
'''Application Courses'''<br />
* Core Statistics: Stat 333 and Stat 424<br />
* Statistics Electives: At least two from: Stat 349, 351, 411, 421, 456, 471, 609, or 610.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Mathematical Statistics Sequence: [http://www.math.wisc.edu/node/111 Math 309] and [http://www.math.wisc.edu/node/114 Math 310]<br />
** Math 431 may be used for Math 309.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522], [http://www.math.wisc.edu/621-analysis-iii-0 621], or [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Advanced Probability Theory [http://www.math.wisc.edu/531-probability-theory Math 531].<br />
* Algebra: [https://www.math.wisc.edu/541-modern-algebra Math 541].<br />
<br />
'''Also:'''<br />
A student who wishes to complete a major in statistics offered by the [https://www.stat.wisc.edu/undergrad/undergraduate-major-statistics Department of Statistics] should complete the program above and include:<br />
* Stat 302 and 327.<br />
* A course in programming (e.g. CS 300).<br />
* At least one more course from the statistics electives above.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Putnam_Club&diff=16388Putnam Club2018-11-13T21:35:30Z<p>Hanhart: /* Fall 2018 */</p>
<hr />
<div><br />
''Organizers: Gheorghe Craciun, Alexander Hanhart, Mihaela Ifrim, Botong Wang''<br />
<br />
The Putnam Exam, offered by the Mathematical Association of America, is the premier American math competition for undergraduate students. It is given each year on the first Saturday in December. The exam consists of 12 problems, 6 in the 3 hour morning session and 6 in the 3 hour afternoon session. Each problem is worth 10 points, so the maximum score is 120. National winners usually get around 100 points. The median score is generally around 0-2 points. This is a difficult exam with many interesting and fun problems.<br />
<br />
[http://kskedlaya.org/putnam-archive/ Old exams and more information on the Putnam competition.]<br />
<br />
The UW is also participating in the Virginia Tech Regional Mathematics Contest. This is an individual competition with seven problems in 2.5 hours. Many schools use it as a kind of rehearsal for the Putnam. You can find more information [http://www.math.vt.edu/people/plinnell/Vtregional/ over here.]<br />
<br />
We also hold our own UW Madison [[Undergraduate Math Competition]] in the spring; for this academic year, it is tentatively scheduled in April 2019.<br />
<br />
==Fall 2018==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139. '''The first meeting will be on the 26th of September in Van Vleck hall, room B139.'''<br />
<br />
'''! Important announcement:''' We put together a Piazza account that will help the participants to discuss and collaborate with their pairs. Here is the link you need to access in order to register for this "class": piazza.com/wisc/fall2018/putnam2018 . Our intervention on Piazza will be minimal (some of the instructors will, from time to time, visit the piazza questions and provide some help). Also, based on your requests, we have decided to structure our meetings in a way that will provide more insight on methods and certain tricks that are very often used in this type of math competitions. The book we will mainly use as a guide in preparing our meetings is: "Putnam and Beyond" by Razvan Gelca and Titu Andreescu. <br />
<br />
<br />
<br />
* September 26: topic [[Media:Putnam_26_sept_2018.pdf | Introductory meeting]] by Mihaela Ifrim. We covered only the first 3 problems. I encourage you to work out all the problems!<br />
<br />
* October 3: [[Media:Putnam_Oct_3_2018.pdf | Linear Algebra]] by George Craciun.<br />
<br />
* October 10: [[Media:Putnam polynomials 2018.pdf | Polynomials]] by Botong Wang.<br />
<br />
* October 17: [[Media:SeqPut18.pdf | Sequences]] by Alex Hanhart.<br />
<br />
* October 24: [[Media:Putnam_Oct_24th_2018.pdf | Convergence and Continuity]] by Mihaela Ifrim.<br />
<br />
* October 27: Virginia Tech Math Contest: 9-11:30am in VV B115.<br />
<br />
* October 31: [[Media:Putnam_Oct_31_2018.pdf | Geometry: cartesian coordinates, complex coordinates, circles and conics]] by George Craciun.<br />
<br />
* November 7: [[Media:Putnam_Combinatorics_2018.pdf | Combinatorics: Set theory and geometric combinatorics]] by Botong Wang.<br />
<br />
* November 14: [[Media:group.pdf | Techniques from Group Theory]] by Alex Hanhart.<br />
<br />
* November 21: '''No meeting''': Happy Thanksgiving!<br />
<br />
==Spring 2018==<br />
<br />
The Putnam Club does not meet in the spring, but we had the fourth annual UW [[Undergraduate Math Competition]] on '''April 24th''', 2018, 5:30-8pm in VV B239.<br />
<br />
==Fall 2017==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139.<br />
<br />
* September 20: [[Media:Putnam092017.pdf | Introductory meeting]] by D.Arinkin<br />
* September 27: [[Media:Putnam092717.pdf | Equations with functions as unknowns]] by M.Ifrim (by request: here is [[Media:Putnam092717sol6.pdf | a solution to problem 6]]; problem 7 is problem B5 of 2016 Putnam exam; you can see the solution [http://kskedlaya.org/putnam-archive/2016s.pdf here]).<br />
* October 4: [[Media:Putnam100417.pdf | Inequalities ]] by G.Craciun.<br />
* October 11: [[Media:Putnam101117.pdf | Polynomials ]] by D.Arinkin.<br />
* October 18: [[Media:Putnam1(2)..pdf | Equations ]] by M. Ifrim<br />
* October 21: Virginia Tech Math Contest: 9-11:30am in VV B203.<br />
* October 25: Review of this year's [[Media:VTRMC2017.pdf | Virginia Tech Contest]] by G.Craciun.<br />
* November 1: [[Media:Putnam110117.pdf | Functions and calculus]] by D.Arinkin.<br />
* November 8: [[Media:Putnam1.pdf | Past Competitions]] by M.Ifrim<br />
* November 15: [[Media:Putnam111517.pdf | Recurrences]] by G.Craciun.<br />
* November 22: '''No meeting''': Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112917.pdf | Complex numbers]] by D.Arinkin.<br />
* December 2: '''Putnam Exam''' in VVB115. Morning session: 9-12pm; Afternoon session: 2-5pm.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the third annual UW [[Undergraduate Math Competition]] on April 19th, 2017.<br />
<br />
==Fall 2016==<br />
<br />
* September 20: [[Media:Putnam092016.pdf | Introductory meeting]]<br />
* September 27: [[Media:Putnam092716.pdf | Calculus and analysis]]<br />
* October 4: [[Media:Putnam100416.pdf | Generating functions]] (by Vlad Matei) <br />
* October 11: [[Media:UWUMC2016.pdf | Review of last year's UW Math competition]]<br />
* October 18: [[Media:Putnam101816.pdf | Functional equations]]<br />
* October 22: Virginia Tech Math Contest<br />
* October 25: Review of this year's [[Media:vtrmc16.pdf | VT contest]]<br />
* November 1: [[Media:Putnam110116.pdf | Matrices]] (by Vlad Matei)<br />
* November 15: [[Media:Putnam111516.pdf | Two algebra problems]]<br />
* November 22: No meeting: Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112916.pdf | Assorted problems]]<br />
* December 3: Putnam Exam: Morning session: 9am-noon, Afternoon session: 2-5pm in VV B135.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the second annual UW [[Undergraduate Math Competition]] on April 12th, 2016.<br />
<br />
==Fall 2015==<br />
. <br />
* September 23rd: [[Media:Putnam092315.pdf | Introductory meeting]]<br />
* September 30th: [[Media:Putnam093015.pdf | Pigeonhole principle]]<br />
* October 7th: Review of [[Media:UWUMC2015.pdf | 2015 UW math competition]]<br />
* October 14th: [[Media:Putnam101415.pdf | Matrices and determinants]]<br />
* October 21st: [[Media:Putnam102115.pdf | Virginia Tech practice]]<br />
* October 24th: Virginia Tech Regional Mathematics Contest: 9-11:30 am<br />
* October 28th: Review of the 2015 Virginia Tech contest.<br />
* November 4th: [[Media:PutnamProblemsOct12.pdf | Polynomials]]<br />
* November 11th: [[Media:PutnamProblemsNov11.pdf | Assorted problems]]<br />
* November 18th: [[Media:PutnamProblemsNov18.pdf | Assorted problems]]<br />
* No meeting on November 25th<br />
* December 2nd: TBA<br />
* December 5th: Putnam competition: Morning session: 9am-12pm, afternoon session: 2-5pm in VV B115.<br />
<br />
==Spring 2015==<br />
<br />
The Putnam Club does not meet in the spring, but we had our first UW [[Undergraduate Math Competition]]!<br />
<br />
==Fall 2014==<br />
<br />
* September 17: [[Media:Putnam091714.pdf | Introductory meeting]]<br />
* September 22: [[Media:Putnam092214.pdf | Coloring and pigeonhole principle]]<br />
* October 1st: Went through HW problems from last time<br />
* October 8th: [[Media:Putnam100814.pdf | Number theory]]<br />
* October 15th: [[Media:Putnam101514.pdf | Games]]<br />
* October 22nd: [[Media:VTRMC13.pdf | Problems from last year's Virginia Tech contest]]<br />
* October 25th: Virginia Tech Regional Mathematics Contest<br />
* October 29th: Review of this year's Virginia Tech contest<br />
* November 5th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/06-inequalities.pdf Inequalities] and [http://www.math.cmu.edu/~lohp/docs/math/2014-295/05-functional.pdf functional equations]<br />
* November 12th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/02-polynomials.pdf Polynomials]<br />
* November 19th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/10-combinatorics.pdf Combinatorics]<br />
* December 3rd: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/08-recursions.pdf Recursions]<br />
* December 6th: Putnam competition: Morning session: 9am-12pm, Afternoon session: 2pm-5pm in Van Vleck B119<br />
* December 10th: Review of [http://www.artofproblemsolving.com/Forum/resources/files/undergraduate_competitions/Undergraduate_Competitions-Putnam-2014-23 this year's Putnam]<br />
<br />
==Fall 2013==<br />
<br />
<br />
* September 11: [[Media:Putnam091113.pdf | Introductory Meeting]]<br />
* September 18: [[Media:Putnam091813.pdf | Assorted Problems]] (by Yihe Dong) <br />
* September 25: [[Media:Putnam092513.pdf | Combinatorics]]<br />
* October 2: [[Media:Putnam100213.pdf | Matrices and Linear Algebra]]<br />
* October 9: [[Media:Putnam100913.pdf | Number Theory]]<br />
* October 16: [[Media:Putnam101613.pdf | Functions and Calculus]]<br />
* October 23: [[Media:Putnam102313.pdf | Polynomials]]<br />
* October 26: Virginia Tech Regional Mathematics Contest<br />
* October 30: [[Media:VTRMC13.pdf | Problems from this year's Virginia Tech contest]]<br />
* November 6: [[Media:Putnam110413.pdf | Games]]<br />
* November 13: [[Media:Putnam111113.pdf | Pigeonhole Principle]]<br />
* November 20: [[Media:Putnam112013.pdf | Extreme Principle]]<br />
* November 27: No meeting (Thanksgiving)<br />
* December 4: TBA<br />
* December 7: Putnam competition Morning session: 9am-12pm, afternoon session: 2-5pm in VV B239.<br />
<br />
==Fall 2012==<br />
<br />
* September 11: Introduction [[Media:Putnam2012IntroProblems.pdf | Problems]]<br />
* September 18: Some Basic Techniques [[Media:Putnam2012Week1Problems.pdf | Problems]]<br />
* September 25: Polynomials and Algebra [[Media:Putnam2012Week2Problems.pdf | Problems]]<br />
* October 2: Number Theory [[Media:Putnam2012Week3Problems.pdf | Problems]]<br />
* October 9: Calculus [[Media:Putnam2012Week4Problems.pdf | Problems]]<br />
* October 16: Games and Algorithms [[Media:Putnam2012Week5Problems.pdf | Problems]]<br />
* October 23: Combinatorics [[Media:Putnam2012Week6Problems.pdf | Problems]]<br />
* October 30: Probability [[Media:Putnam2012Week7Problems.pdf | Problems]]<br />
* November 6: Linear Algebra [[Media:Putnam2012Week8Problems.pdf | Problems]]<br />
* November 13: Grab Bag [[Media:Putnam2012Week9Problems.pdf | Problems]]<br />
* November 27: Grab Bag 2 [[Media:Putnam2012Week10Problems.pdf | Problems]]<br />
<br />
==Fall 2011==<br />
<br />
* September 21: Pigeonhole Principle (Brian Rice) [[Media:PutnamProblemsSept21.pdf | Problems]]<br />
* September 28: Introduction to Counting (Brian Rice) [[Media:PutnamProblemsSept28.pdf | Problems]]<br />
* October 5: Elementary Number Theory (Brian Rice) [[Media:PutnamProblemsOct5.pdf | Problems]], [[Media:PutnamProblemsOct5Hard.pdf | Problems (Hardcore)]]<br />
* October 12: Polynomials (Brian Rice) [[Media:PutnamProblemsOct12.pdf | Problems]], [[Media:PutnamProblemsOct12Hard.pdf | Problems (Hardcore)]]<br />
* October 19: A Grab Bag of Discrete Math (Brian Rice) [[Media:PutnamProblemsOct19.pdf | Problems]]<br />
* October 26: Calculus, Week 1 (Brian Rice) [[Media:PutnamProblemsOct26.pdf | Problems]]<br />
* November 2: Calculus, Week 2 (Brian Rice) [[Media:PutnamProblemsNov2.pdf | Problems]]<br />
* November 9: Linear and Abstract Algebra (Brian Rice) [[Media: PutnamProblemsNov9.pdf | Problems]]<br />
* November 16: Mock Putnam [[Media: MockPutnamProblems.pdf | Problems]], [[Media: MockPutnamSolutions.pdf | Solutions]]</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=File:Group.pdf&diff=16387File:Group.pdf2018-11-13T21:34:21Z<p>Hanhart: </p>
<hr />
<div></div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Putnam_Club&diff=16386Putnam Club2018-11-13T21:33:40Z<p>Hanhart: </p>
<hr />
<div><br />
''Organizers: Gheorghe Craciun, Alexander Hanhart, Mihaela Ifrim, Botong Wang''<br />
<br />
The Putnam Exam, offered by the Mathematical Association of America, is the premier American math competition for undergraduate students. It is given each year on the first Saturday in December. The exam consists of 12 problems, 6 in the 3 hour morning session and 6 in the 3 hour afternoon session. Each problem is worth 10 points, so the maximum score is 120. National winners usually get around 100 points. The median score is generally around 0-2 points. This is a difficult exam with many interesting and fun problems.<br />
<br />
[http://kskedlaya.org/putnam-archive/ Old exams and more information on the Putnam competition.]<br />
<br />
The UW is also participating in the Virginia Tech Regional Mathematics Contest. This is an individual competition with seven problems in 2.5 hours. Many schools use it as a kind of rehearsal for the Putnam. You can find more information [http://www.math.vt.edu/people/plinnell/Vtregional/ over here.]<br />
<br />
We also hold our own UW Madison [[Undergraduate Math Competition]] in the spring; for this academic year, it is tentatively scheduled in April 2019.<br />
<br />
==Fall 2018==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139. '''The first meeting will be on the 26th of September in Van Vleck hall, room B139.'''<br />
<br />
'''! Important announcement:''' We put together a Piazza account that will help the participants to discuss and collaborate with their pairs. Here is the link you need to access in order to register for this "class": piazza.com/wisc/fall2018/putnam2018 . Our intervention on Piazza will be minimal (some of the instructors will, from time to time, visit the piazza questions and provide some help). Also, based on your requests, we have decided to structure our meetings in a way that will provide more insight on methods and certain tricks that are very often used in this type of math competitions. The book we will mainly use as a guide in preparing our meetings is: "Putnam and Beyond" by Razvan Gelca and Titu Andreescu. <br />
<br />
<br />
<br />
* September 26: topic [[Media:Putnam_26_sept_2018.pdf | Introductory meeting]] by Mihaela Ifrim. We covered only the first 3 problems. I encourage you to work out all the problems!<br />
<br />
* October 3: [[Media:Putnam_Oct_3_2018.pdf | Linear Algebra]] by George Craciun.<br />
<br />
* October 10: [[Media:Putnam polynomials 2018.pdf | Polynomials]] by Botong Wang.<br />
<br />
* October 17: [[Media:SeqPut18.pdf | Sequences]] by Alex Hanhart.<br />
<br />
* October 24: [[Media:Putnam_Oct_24th_2018.pdf | Convergence and Continuity]] by Mihaela Ifrim.<br />
<br />
* October 27: Virginia Tech Math Contest: 9-11:30am in VV B115.<br />
<br />
* October 31: [[Media:Putnam_Oct_31_2018.pdf | Geometry: cartesian coordinates, complex coordinates, circles and conics]] by George Craciun.<br />
<br />
* November 7: [[Media:Putnam_Combinatorics_2018.pdf | Combinatorics: Set theory and geometric combinatorics]] by Botong Wang.<br />
<br />
* November 14: [[ | Techniques from Group Theory]] by Alex Hanhart.<br />
<br />
* November 21: '''No meeting''': Happy Thanksgiving!<br />
<br />
==Spring 2018==<br />
<br />
The Putnam Club does not meet in the spring, but we had the fourth annual UW [[Undergraduate Math Competition]] on '''April 24th''', 2018, 5:30-8pm in VV B239.<br />
<br />
==Fall 2017==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139.<br />
<br />
* September 20: [[Media:Putnam092017.pdf | Introductory meeting]] by D.Arinkin<br />
* September 27: [[Media:Putnam092717.pdf | Equations with functions as unknowns]] by M.Ifrim (by request: here is [[Media:Putnam092717sol6.pdf | a solution to problem 6]]; problem 7 is problem B5 of 2016 Putnam exam; you can see the solution [http://kskedlaya.org/putnam-archive/2016s.pdf here]).<br />
* October 4: [[Media:Putnam100417.pdf | Inequalities ]] by G.Craciun.<br />
* October 11: [[Media:Putnam101117.pdf | Polynomials ]] by D.Arinkin.<br />
* October 18: [[Media:Putnam1(2)..pdf | Equations ]] by M. Ifrim<br />
* October 21: Virginia Tech Math Contest: 9-11:30am in VV B203.<br />
* October 25: Review of this year's [[Media:VTRMC2017.pdf | Virginia Tech Contest]] by G.Craciun.<br />
* November 1: [[Media:Putnam110117.pdf | Functions and calculus]] by D.Arinkin.<br />
* November 8: [[Media:Putnam1.pdf | Past Competitions]] by M.Ifrim<br />
* November 15: [[Media:Putnam111517.pdf | Recurrences]] by G.Craciun.<br />
* November 22: '''No meeting''': Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112917.pdf | Complex numbers]] by D.Arinkin.<br />
* December 2: '''Putnam Exam''' in VVB115. Morning session: 9-12pm; Afternoon session: 2-5pm.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the third annual UW [[Undergraduate Math Competition]] on April 19th, 2017.<br />
<br />
==Fall 2016==<br />
<br />
* September 20: [[Media:Putnam092016.pdf | Introductory meeting]]<br />
* September 27: [[Media:Putnam092716.pdf | Calculus and analysis]]<br />
* October 4: [[Media:Putnam100416.pdf | Generating functions]] (by Vlad Matei) <br />
* October 11: [[Media:UWUMC2016.pdf | Review of last year's UW Math competition]]<br />
* October 18: [[Media:Putnam101816.pdf | Functional equations]]<br />
* October 22: Virginia Tech Math Contest<br />
* October 25: Review of this year's [[Media:vtrmc16.pdf | VT contest]]<br />
* November 1: [[Media:Putnam110116.pdf | Matrices]] (by Vlad Matei)<br />
* November 15: [[Media:Putnam111516.pdf | Two algebra problems]]<br />
* November 22: No meeting: Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112916.pdf | Assorted problems]]<br />
* December 3: Putnam Exam: Morning session: 9am-noon, Afternoon session: 2-5pm in VV B135.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the second annual UW [[Undergraduate Math Competition]] on April 12th, 2016.<br />
<br />
==Fall 2015==<br />
. <br />
* September 23rd: [[Media:Putnam092315.pdf | Introductory meeting]]<br />
* September 30th: [[Media:Putnam093015.pdf | Pigeonhole principle]]<br />
* October 7th: Review of [[Media:UWUMC2015.pdf | 2015 UW math competition]]<br />
* October 14th: [[Media:Putnam101415.pdf | Matrices and determinants]]<br />
* October 21st: [[Media:Putnam102115.pdf | Virginia Tech practice]]<br />
* October 24th: Virginia Tech Regional Mathematics Contest: 9-11:30 am<br />
* October 28th: Review of the 2015 Virginia Tech contest.<br />
* November 4th: [[Media:PutnamProblemsOct12.pdf | Polynomials]]<br />
* November 11th: [[Media:PutnamProblemsNov11.pdf | Assorted problems]]<br />
* November 18th: [[Media:PutnamProblemsNov18.pdf | Assorted problems]]<br />
* No meeting on November 25th<br />
* December 2nd: TBA<br />
* December 5th: Putnam competition: Morning session: 9am-12pm, afternoon session: 2-5pm in VV B115.<br />
<br />
==Spring 2015==<br />
<br />
The Putnam Club does not meet in the spring, but we had our first UW [[Undergraduate Math Competition]]!<br />
<br />
==Fall 2014==<br />
<br />
* September 17: [[Media:Putnam091714.pdf | Introductory meeting]]<br />
* September 22: [[Media:Putnam092214.pdf | Coloring and pigeonhole principle]]<br />
* October 1st: Went through HW problems from last time<br />
* October 8th: [[Media:Putnam100814.pdf | Number theory]]<br />
* October 15th: [[Media:Putnam101514.pdf | Games]]<br />
* October 22nd: [[Media:VTRMC13.pdf | Problems from last year's Virginia Tech contest]]<br />
* October 25th: Virginia Tech Regional Mathematics Contest<br />
* October 29th: Review of this year's Virginia Tech contest<br />
* November 5th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/06-inequalities.pdf Inequalities] and [http://www.math.cmu.edu/~lohp/docs/math/2014-295/05-functional.pdf functional equations]<br />
* November 12th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/02-polynomials.pdf Polynomials]<br />
* November 19th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/10-combinatorics.pdf Combinatorics]<br />
* December 3rd: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/08-recursions.pdf Recursions]<br />
* December 6th: Putnam competition: Morning session: 9am-12pm, Afternoon session: 2pm-5pm in Van Vleck B119<br />
* December 10th: Review of [http://www.artofproblemsolving.com/Forum/resources/files/undergraduate_competitions/Undergraduate_Competitions-Putnam-2014-23 this year's Putnam]<br />
<br />
==Fall 2013==<br />
<br />
<br />
* September 11: [[Media:Putnam091113.pdf | Introductory Meeting]]<br />
* September 18: [[Media:Putnam091813.pdf | Assorted Problems]] (by Yihe Dong) <br />
* September 25: [[Media:Putnam092513.pdf | Combinatorics]]<br />
* October 2: [[Media:Putnam100213.pdf | Matrices and Linear Algebra]]<br />
* October 9: [[Media:Putnam100913.pdf | Number Theory]]<br />
* October 16: [[Media:Putnam101613.pdf | Functions and Calculus]]<br />
* October 23: [[Media:Putnam102313.pdf | Polynomials]]<br />
* October 26: Virginia Tech Regional Mathematics Contest<br />
* October 30: [[Media:VTRMC13.pdf | Problems from this year's Virginia Tech contest]]<br />
* November 6: [[Media:Putnam110413.pdf | Games]]<br />
* November 13: [[Media:Putnam111113.pdf | Pigeonhole Principle]]<br />
* November 20: [[Media:Putnam112013.pdf | Extreme Principle]]<br />
* November 27: No meeting (Thanksgiving)<br />
* December 4: TBA<br />
* December 7: Putnam competition Morning session: 9am-12pm, afternoon session: 2-5pm in VV B239.<br />
<br />
==Fall 2012==<br />
<br />
* September 11: Introduction [[Media:Putnam2012IntroProblems.pdf | Problems]]<br />
* September 18: Some Basic Techniques [[Media:Putnam2012Week1Problems.pdf | Problems]]<br />
* September 25: Polynomials and Algebra [[Media:Putnam2012Week2Problems.pdf | Problems]]<br />
* October 2: Number Theory [[Media:Putnam2012Week3Problems.pdf | Problems]]<br />
* October 9: Calculus [[Media:Putnam2012Week4Problems.pdf | Problems]]<br />
* October 16: Games and Algorithms [[Media:Putnam2012Week5Problems.pdf | Problems]]<br />
* October 23: Combinatorics [[Media:Putnam2012Week6Problems.pdf | Problems]]<br />
* October 30: Probability [[Media:Putnam2012Week7Problems.pdf | Problems]]<br />
* November 6: Linear Algebra [[Media:Putnam2012Week8Problems.pdf | Problems]]<br />
* November 13: Grab Bag [[Media:Putnam2012Week9Problems.pdf | Problems]]<br />
* November 27: Grab Bag 2 [[Media:Putnam2012Week10Problems.pdf | Problems]]<br />
<br />
==Fall 2011==<br />
<br />
* September 21: Pigeonhole Principle (Brian Rice) [[Media:PutnamProblemsSept21.pdf | Problems]]<br />
* September 28: Introduction to Counting (Brian Rice) [[Media:PutnamProblemsSept28.pdf | Problems]]<br />
* October 5: Elementary Number Theory (Brian Rice) [[Media:PutnamProblemsOct5.pdf | Problems]], [[Media:PutnamProblemsOct5Hard.pdf | Problems (Hardcore)]]<br />
* October 12: Polynomials (Brian Rice) [[Media:PutnamProblemsOct12.pdf | Problems]], [[Media:PutnamProblemsOct12Hard.pdf | Problems (Hardcore)]]<br />
* October 19: A Grab Bag of Discrete Math (Brian Rice) [[Media:PutnamProblemsOct19.pdf | Problems]]<br />
* October 26: Calculus, Week 1 (Brian Rice) [[Media:PutnamProblemsOct26.pdf | Problems]]<br />
* November 2: Calculus, Week 2 (Brian Rice) [[Media:PutnamProblemsNov2.pdf | Problems]]<br />
* November 9: Linear and Abstract Algebra (Brian Rice) [[Media: PutnamProblemsNov9.pdf | Problems]]<br />
* November 16: Mock Putnam [[Media: MockPutnamProblems.pdf | Problems]], [[Media: MockPutnamSolutions.pdf | Solutions]]</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Putnam_Club&diff=16211Putnam Club2018-10-15T19:41:56Z<p>Hanhart: /* Fall 2018 */</p>
<hr />
<div><br />
''Organizers: Gheorghe Craciun, Alexander Hanhart, Mihaela Ifrim, Botong Wang''<br />
<br />
The Putnam Exam, offered by the Mathematical Association of America, is the premier American math competition for undergraduate students. It is given each year on the first Saturday in December. The exam consists of 12 problems, 6 in the 3 hour morning session and 6 in the 3 hour afternoon session. Each problem is worth 10 points, so the maximum score is 120. National winners usually get around 100 points. The median score is generally around 0-2 points. This is a difficult exam with many interesting and fun problems.<br />
<br />
[http://kskedlaya.org/putnam-archive/ Old exams and more information on the Putnam competition.]<br />
<br />
The UW is also participating in the Virginia Tech Regional Mathematics Contest. This is an individual competition with seven problems in 2.5 hours. Many schools use it as a kind of rehearsal for the Putnam. You can find more information [http://www.math.vt.edu/people/plinnell/Vtregional/ over here.]<br />
<br />
We also hold our own UW Madison [[Undergraduate Math Competition]] in the spring; for this academic year, it is tentatively scheduled in April 2019.<br />
<br />
==Fall 2018==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139. '''The first meeting will be on the 26th of September in Van Vleck hall, room B139.'''<br />
<br />
'''! Important announcement:''' We put together a Piazza account that will help the participants to discuss and collaborate with their pairs. Here is the link you need to access in order to register for this "class": piazza.com/wisc/fall2018/putnam2018 . Our intervention on Piazza will be minimal (some of the instructors will, from time to time, visit the piazza questions and provide some help). Also, based on your requests, we have decided to structure our meetings in a way that will provide more insight on methods and certain tricks that are very often used in this type of math competitions. The book we will mainly use as a guide in preparing our meetings is: "Putnam and Beyond" by Razvan Gelca and Titu Andreescu. <br />
<br />
<br />
<br />
* September 26: topic [[Media:Putnam_26_sept_2018.pdf | Introductory meeting]] by M. Ifrim. We covered only the first 3 problems. I encourage you to work out all the problems!<br />
<br />
* October 10: [[Media:Putnam polynomials 2018.pdf | Polynomials]] by Botong Wang.<br />
<br />
* October 17: [[Media:SeqPut18.pdf | Sequences]] by Alex Hanhart.<br />
<br />
==Spring 2018==<br />
<br />
The Putnam Club does not meet in the spring, but we had the fourth annual UW [[Undergraduate Math Competition]] on '''April 24th''', 2018, 5:30-8pm in VV B239.<br />
<br />
==Fall 2017==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139.<br />
<br />
* September 20: [[Media:Putnam092017.pdf | Introductory meeting]] by D.Arinkin<br />
* September 27: [[Media:Putnam092717.pdf | Equations with functions as unknowns]] by M.Ifrim (by request: here is [[Media:Putnam092717sol6.pdf | a solution to problem 6]]; problem 7 is problem B5 of 2016 Putnam exam; you can see the solution [http://kskedlaya.org/putnam-archive/2016s.pdf here]).<br />
* October 4: [[Media:Putnam100417.pdf | Inequalities ]] by G.Craciun.<br />
* October 11: [[Media:Putnam101117.pdf | Polynomials ]] by D.Arinkin.<br />
* October 18: [[Media:Putnam1(2)..pdf | Equations ]] by M. Ifrim<br />
* October 21: Virginia Tech Math Contest: 9-11:30am in VV B203.<br />
* October 25: Review of this year's [[Media:VTRMC2017.pdf | Virginia Tech Contest]] by G.Craciun.<br />
* November 1: [[Media:Putnam110117.pdf | Functions and calculus]] by D.Arinkin.<br />
* November 8: [[Media:Putnam1.pdf | Past Competitions]] by M.Ifrim<br />
* November 15: [[Media:Putnam111517.pdf | Recurrences]] by G.Craciun.<br />
* November 22: '''No meeting''': Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112917.pdf | Complex numbers]] by D.Arinkin.<br />
* December 2: '''Putnam Exam''' in VVB115. Morning session: 9-12pm; Afternoon session: 2-5pm.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the third annual UW [[Undergraduate Math Competition]] on April 19th, 2017.<br />
<br />
==Fall 2016==<br />
<br />
* September 20: [[Media:Putnam092016.pdf | Introductory meeting]]<br />
* September 27: [[Media:Putnam092716.pdf | Calculus and analysis]]<br />
* October 4: [[Media:Putnam100416.pdf | Generating functions]] (by Vlad Matei) <br />
* October 11: [[Media:UWUMC2016.pdf | Review of last year's UW Math competition]]<br />
* October 18: [[Media:Putnam101816.pdf | Functional equations]]<br />
* October 22: Virginia Tech Math Contest<br />
* October 25: Review of this year's [[Media:vtrmc16.pdf | VT contest]]<br />
* November 1: [[Media:Putnam110116.pdf | Matrices]] (by Vlad Matei)<br />
* November 15: [[Media:Putnam111516.pdf | Two algebra problems]]<br />
* November 22: No meeting: Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112916.pdf | Assorted problems]]<br />
* December 3: Putnam Exam: Morning session: 9am-noon, Afternoon session: 2-5pm in VV B135.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the second annual UW [[Undergraduate Math Competition]] on April 12th, 2016.<br />
<br />
==Fall 2015==<br />
. <br />
* September 23rd: [[Media:Putnam092315.pdf | Introductory meeting]]<br />
* September 30th: [[Media:Putnam093015.pdf | Pigeonhole principle]]<br />
* October 7th: Review of [[Media:UWUMC2015.pdf | 2015 UW math competition]]<br />
* October 14th: [[Media:Putnam101415.pdf | Matrices and determinants]]<br />
* October 21st: [[Media:Putnam102115.pdf | Virginia Tech practice]]<br />
* October 24th: Virginia Tech Regional Mathematics Contest: 9-11:30 am<br />
* October 28th: Review of the 2015 Virginia Tech contest.<br />
* November 4th: [[Media:PutnamProblemsOct12.pdf | Polynomials]]<br />
* November 11th: [[Media:PutnamProblemsNov11.pdf | Assorted problems]]<br />
* November 18th: [[Media:PutnamProblemsNov18.pdf | Assorted problems]]<br />
* No meeting on November 25th<br />
* December 2nd: TBA<br />
* December 5th: Putnam competition: Morning session: 9am-12pm, afternoon session: 2-5pm in VV B115.<br />
<br />
==Spring 2015==<br />
<br />
The Putnam Club does not meet in the spring, but we had our first UW [[Undergraduate Math Competition]]!<br />
<br />
==Fall 2014==<br />
<br />
* September 17: [[Media:Putnam091714.pdf | Introductory meeting]]<br />
* September 22: [[Media:Putnam092214.pdf | Coloring and pigeonhole principle]]<br />
* October 1st: Went through HW problems from last time<br />
* October 8th: [[Media:Putnam100814.pdf | Number theory]]<br />
* October 15th: [[Media:Putnam101514.pdf | Games]]<br />
* October 22nd: [[Media:VTRMC13.pdf | Problems from last year's Virginia Tech contest]]<br />
* October 25th: Virginia Tech Regional Mathematics Contest<br />
* October 29th: Review of this year's Virginia Tech contest<br />
* November 5th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/06-inequalities.pdf Inequalities] and [http://www.math.cmu.edu/~lohp/docs/math/2014-295/05-functional.pdf functional equations]<br />
* November 12th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/02-polynomials.pdf Polynomials]<br />
* November 19th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/10-combinatorics.pdf Combinatorics]<br />
* December 3rd: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/08-recursions.pdf Recursions]<br />
* December 6th: Putnam competition: Morning session: 9am-12pm, Afternoon session: 2pm-5pm in Van Vleck B119<br />
* December 10th: Review of [http://www.artofproblemsolving.com/Forum/resources/files/undergraduate_competitions/Undergraduate_Competitions-Putnam-2014-23 this year's Putnam]<br />
<br />
==Fall 2013==<br />
<br />
<br />
* September 11: [[Media:Putnam091113.pdf | Introductory Meeting]]<br />
* September 18: [[Media:Putnam091813.pdf | Assorted Problems]] (by Yihe Dong) <br />
* September 25: [[Media:Putnam092513.pdf | Combinatorics]]<br />
* October 2: [[Media:Putnam100213.pdf | Matrices and Linear Algebra]]<br />
* October 9: [[Media:Putnam100913.pdf | Number Theory]]<br />
* October 16: [[Media:Putnam101613.pdf | Functions and Calculus]]<br />
* October 23: [[Media:Putnam102313.pdf | Polynomials]]<br />
* October 26: Virginia Tech Regional Mathematics Contest<br />
* October 30: [[Media:VTRMC13.pdf | Problems from this year's Virginia Tech contest]]<br />
* November 6: [[Media:Putnam110413.pdf | Games]]<br />
* November 13: [[Media:Putnam111113.pdf | Pigeonhole Principle]]<br />
* November 20: [[Media:Putnam112013.pdf | Extreme Principle]]<br />
* November 27: No meeting (Thanksgiving)<br />
* December 4: TBA<br />
* December 7: Putnam competition Morning session: 9am-12pm, afternoon session: 2-5pm in VV B239.<br />
<br />
==Fall 2012==<br />
<br />
* September 11: Introduction [[Media:Putnam2012IntroProblems.pdf | Problems]]<br />
* September 18: Some Basic Techniques [[Media:Putnam2012Week1Problems.pdf | Problems]]<br />
* September 25: Polynomials and Algebra [[Media:Putnam2012Week2Problems.pdf | Problems]]<br />
* October 2: Number Theory [[Media:Putnam2012Week3Problems.pdf | Problems]]<br />
* October 9: Calculus [[Media:Putnam2012Week4Problems.pdf | Problems]]<br />
* October 16: Games and Algorithms [[Media:Putnam2012Week5Problems.pdf | Problems]]<br />
* October 23: Combinatorics [[Media:Putnam2012Week6Problems.pdf | Problems]]<br />
* October 30: Probability [[Media:Putnam2012Week7Problems.pdf | Problems]]<br />
* November 6: Linear Algebra [[Media:Putnam2012Week8Problems.pdf | Problems]]<br />
* November 13: Grab Bag [[Media:Putnam2012Week9Problems.pdf | Problems]]<br />
* November 27: Grab Bag 2 [[Media:Putnam2012Week10Problems.pdf | Problems]]<br />
<br />
==Fall 2011==<br />
<br />
* September 21: Pigeonhole Principle (Brian Rice) [[Media:PutnamProblemsSept21.pdf | Problems]]<br />
* September 28: Introduction to Counting (Brian Rice) [[Media:PutnamProblemsSept28.pdf | Problems]]<br />
* October 5: Elementary Number Theory (Brian Rice) [[Media:PutnamProblemsOct5.pdf | Problems]], [[Media:PutnamProblemsOct5Hard.pdf | Problems (Hardcore)]]<br />
* October 12: Polynomials (Brian Rice) [[Media:PutnamProblemsOct12.pdf | Problems]], [[Media:PutnamProblemsOct12Hard.pdf | Problems (Hardcore)]]<br />
* October 19: A Grab Bag of Discrete Math (Brian Rice) [[Media:PutnamProblemsOct19.pdf | Problems]]<br />
* October 26: Calculus, Week 1 (Brian Rice) [[Media:PutnamProblemsOct26.pdf | Problems]]<br />
* November 2: Calculus, Week 2 (Brian Rice) [[Media:PutnamProblemsNov2.pdf | Problems]]<br />
* November 9: Linear and Abstract Algebra (Brian Rice) [[Media: PutnamProblemsNov9.pdf | Problems]]<br />
* November 16: Mock Putnam [[Media: MockPutnamProblems.pdf | Problems]], [[Media: MockPutnamSolutions.pdf | Solutions]]</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=File:SeqPut18.pdf&diff=16210File:SeqPut18.pdf2018-10-15T19:41:03Z<p>Hanhart: </p>
<hr />
<div></div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Putnam_Club&diff=16209Putnam Club2018-10-15T19:37:32Z<p>Hanhart: /* Fall 2018 */</p>
<hr />
<div><br />
''Organizers: Gheorghe Craciun, Alexander Hanhart, Mihaela Ifrim, Botong Wang''<br />
<br />
The Putnam Exam, offered by the Mathematical Association of America, is the premier American math competition for undergraduate students. It is given each year on the first Saturday in December. The exam consists of 12 problems, 6 in the 3 hour morning session and 6 in the 3 hour afternoon session. Each problem is worth 10 points, so the maximum score is 120. National winners usually get around 100 points. The median score is generally around 0-2 points. This is a difficult exam with many interesting and fun problems.<br />
<br />
[http://kskedlaya.org/putnam-archive/ Old exams and more information on the Putnam competition.]<br />
<br />
The UW is also participating in the Virginia Tech Regional Mathematics Contest. This is an individual competition with seven problems in 2.5 hours. Many schools use it as a kind of rehearsal for the Putnam. You can find more information [http://www.math.vt.edu/people/plinnell/Vtregional/ over here.]<br />
<br />
We also hold our own UW Madison [[Undergraduate Math Competition]] in the spring; for this academic year, it is tentatively scheduled in April 2019.<br />
<br />
==Fall 2018==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139. '''The first meeting will be on the 26th of September in Van Vleck hall, room B139.'''<br />
<br />
'''! Important announcement:''' We put together a Piazza account that will help the participants to discuss and collaborate with their pairs. Here is the link you need to access in order to register for this "class": piazza.com/wisc/fall2018/putnam2018 . Our intervention on Piazza will be minimal (some of the instructors will, from time to time, visit the piazza questions and provide some help). Also, based on your requests, we have decided to structure our meetings in a way that will provide more insight on methods and certain tricks that are very often used in this type of math competitions. The book we will mainly use as a guide in preparing our meetings is: "Putnam and Beyond" by Razvan Gelca and Titu Andreescu. <br />
<br />
<br />
<br />
* September 26: topic [[Media:Putnam_26_sept_2018.pdf | Introductory meeting]] by M. Ifrim. We covered only the first 3 problems. I encourage you to work out all the problems!<br />
<br />
* October 10: [[Media:Putnam polynomials 2018.pdf | Polynomials]] by Botong Wang.<br />
<br />
* October 17: [[Media: | Sequences]] by Alex Hanhart.<br />
<br />
==Spring 2018==<br />
<br />
The Putnam Club does not meet in the spring, but we had the fourth annual UW [[Undergraduate Math Competition]] on '''April 24th''', 2018, 5:30-8pm in VV B239.<br />
<br />
==Fall 2017==<br />
<br />
The Putnam Club will help you prepare for the exam by practicing on problems from previous years and other olympiad-style problems. The meeting time is 5pm on Wednesdays in VV B139.<br />
<br />
* September 20: [[Media:Putnam092017.pdf | Introductory meeting]] by D.Arinkin<br />
* September 27: [[Media:Putnam092717.pdf | Equations with functions as unknowns]] by M.Ifrim (by request: here is [[Media:Putnam092717sol6.pdf | a solution to problem 6]]; problem 7 is problem B5 of 2016 Putnam exam; you can see the solution [http://kskedlaya.org/putnam-archive/2016s.pdf here]).<br />
* October 4: [[Media:Putnam100417.pdf | Inequalities ]] by G.Craciun.<br />
* October 11: [[Media:Putnam101117.pdf | Polynomials ]] by D.Arinkin.<br />
* October 18: [[Media:Putnam1(2)..pdf | Equations ]] by M. Ifrim<br />
* October 21: Virginia Tech Math Contest: 9-11:30am in VV B203.<br />
* October 25: Review of this year's [[Media:VTRMC2017.pdf | Virginia Tech Contest]] by G.Craciun.<br />
* November 1: [[Media:Putnam110117.pdf | Functions and calculus]] by D.Arinkin.<br />
* November 8: [[Media:Putnam1.pdf | Past Competitions]] by M.Ifrim<br />
* November 15: [[Media:Putnam111517.pdf | Recurrences]] by G.Craciun.<br />
* November 22: '''No meeting''': Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112917.pdf | Complex numbers]] by D.Arinkin.<br />
* December 2: '''Putnam Exam''' in VVB115. Morning session: 9-12pm; Afternoon session: 2-5pm.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the third annual UW [[Undergraduate Math Competition]] on April 19th, 2017.<br />
<br />
==Fall 2016==<br />
<br />
* September 20: [[Media:Putnam092016.pdf | Introductory meeting]]<br />
* September 27: [[Media:Putnam092716.pdf | Calculus and analysis]]<br />
* October 4: [[Media:Putnam100416.pdf | Generating functions]] (by Vlad Matei) <br />
* October 11: [[Media:UWUMC2016.pdf | Review of last year's UW Math competition]]<br />
* October 18: [[Media:Putnam101816.pdf | Functional equations]]<br />
* October 22: Virginia Tech Math Contest<br />
* October 25: Review of this year's [[Media:vtrmc16.pdf | VT contest]]<br />
* November 1: [[Media:Putnam110116.pdf | Matrices]] (by Vlad Matei)<br />
* November 15: [[Media:Putnam111516.pdf | Two algebra problems]]<br />
* November 22: No meeting: Happy Thanksgiving!<br />
* November 29: [[Media:Putnam112916.pdf | Assorted problems]]<br />
* December 3: Putnam Exam: Morning session: 9am-noon, Afternoon session: 2-5pm in VV B135.<br />
<br />
==Spring 2016==<br />
<br />
The Putnam Club does not meet in the spring, but we had the second annual UW [[Undergraduate Math Competition]] on April 12th, 2016.<br />
<br />
==Fall 2015==<br />
. <br />
* September 23rd: [[Media:Putnam092315.pdf | Introductory meeting]]<br />
* September 30th: [[Media:Putnam093015.pdf | Pigeonhole principle]]<br />
* October 7th: Review of [[Media:UWUMC2015.pdf | 2015 UW math competition]]<br />
* October 14th: [[Media:Putnam101415.pdf | Matrices and determinants]]<br />
* October 21st: [[Media:Putnam102115.pdf | Virginia Tech practice]]<br />
* October 24th: Virginia Tech Regional Mathematics Contest: 9-11:30 am<br />
* October 28th: Review of the 2015 Virginia Tech contest.<br />
* November 4th: [[Media:PutnamProblemsOct12.pdf | Polynomials]]<br />
* November 11th: [[Media:PutnamProblemsNov11.pdf | Assorted problems]]<br />
* November 18th: [[Media:PutnamProblemsNov18.pdf | Assorted problems]]<br />
* No meeting on November 25th<br />
* December 2nd: TBA<br />
* December 5th: Putnam competition: Morning session: 9am-12pm, afternoon session: 2-5pm in VV B115.<br />
<br />
==Spring 2015==<br />
<br />
The Putnam Club does not meet in the spring, but we had our first UW [[Undergraduate Math Competition]]!<br />
<br />
==Fall 2014==<br />
<br />
* September 17: [[Media:Putnam091714.pdf | Introductory meeting]]<br />
* September 22: [[Media:Putnam092214.pdf | Coloring and pigeonhole principle]]<br />
* October 1st: Went through HW problems from last time<br />
* October 8th: [[Media:Putnam100814.pdf | Number theory]]<br />
* October 15th: [[Media:Putnam101514.pdf | Games]]<br />
* October 22nd: [[Media:VTRMC13.pdf | Problems from last year's Virginia Tech contest]]<br />
* October 25th: Virginia Tech Regional Mathematics Contest<br />
* October 29th: Review of this year's Virginia Tech contest<br />
* November 5th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/06-inequalities.pdf Inequalities] and [http://www.math.cmu.edu/~lohp/docs/math/2014-295/05-functional.pdf functional equations]<br />
* November 12th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/02-polynomials.pdf Polynomials]<br />
* November 19th: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/10-combinatorics.pdf Combinatorics]<br />
* December 3rd: [http://www.math.cmu.edu/~lohp/docs/math/2014-295/08-recursions.pdf Recursions]<br />
* December 6th: Putnam competition: Morning session: 9am-12pm, Afternoon session: 2pm-5pm in Van Vleck B119<br />
* December 10th: Review of [http://www.artofproblemsolving.com/Forum/resources/files/undergraduate_competitions/Undergraduate_Competitions-Putnam-2014-23 this year's Putnam]<br />
<br />
==Fall 2013==<br />
<br />
<br />
* September 11: [[Media:Putnam091113.pdf | Introductory Meeting]]<br />
* September 18: [[Media:Putnam091813.pdf | Assorted Problems]] (by Yihe Dong) <br />
* September 25: [[Media:Putnam092513.pdf | Combinatorics]]<br />
* October 2: [[Media:Putnam100213.pdf | Matrices and Linear Algebra]]<br />
* October 9: [[Media:Putnam100913.pdf | Number Theory]]<br />
* October 16: [[Media:Putnam101613.pdf | Functions and Calculus]]<br />
* October 23: [[Media:Putnam102313.pdf | Polynomials]]<br />
* October 26: Virginia Tech Regional Mathematics Contest<br />
* October 30: [[Media:VTRMC13.pdf | Problems from this year's Virginia Tech contest]]<br />
* November 6: [[Media:Putnam110413.pdf | Games]]<br />
* November 13: [[Media:Putnam111113.pdf | Pigeonhole Principle]]<br />
* November 20: [[Media:Putnam112013.pdf | Extreme Principle]]<br />
* November 27: No meeting (Thanksgiving)<br />
* December 4: TBA<br />
* December 7: Putnam competition Morning session: 9am-12pm, afternoon session: 2-5pm in VV B239.<br />
<br />
==Fall 2012==<br />
<br />
* September 11: Introduction [[Media:Putnam2012IntroProblems.pdf | Problems]]<br />
* September 18: Some Basic Techniques [[Media:Putnam2012Week1Problems.pdf | Problems]]<br />
* September 25: Polynomials and Algebra [[Media:Putnam2012Week2Problems.pdf | Problems]]<br />
* October 2: Number Theory [[Media:Putnam2012Week3Problems.pdf | Problems]]<br />
* October 9: Calculus [[Media:Putnam2012Week4Problems.pdf | Problems]]<br />
* October 16: Games and Algorithms [[Media:Putnam2012Week5Problems.pdf | Problems]]<br />
* October 23: Combinatorics [[Media:Putnam2012Week6Problems.pdf | Problems]]<br />
* October 30: Probability [[Media:Putnam2012Week7Problems.pdf | Problems]]<br />
* November 6: Linear Algebra [[Media:Putnam2012Week8Problems.pdf | Problems]]<br />
* November 13: Grab Bag [[Media:Putnam2012Week9Problems.pdf | Problems]]<br />
* November 27: Grab Bag 2 [[Media:Putnam2012Week10Problems.pdf | Problems]]<br />
<br />
==Fall 2011==<br />
<br />
* September 21: Pigeonhole Principle (Brian Rice) [[Media:PutnamProblemsSept21.pdf | Problems]]<br />
* September 28: Introduction to Counting (Brian Rice) [[Media:PutnamProblemsSept28.pdf | Problems]]<br />
* October 5: Elementary Number Theory (Brian Rice) [[Media:PutnamProblemsOct5.pdf | Problems]], [[Media:PutnamProblemsOct5Hard.pdf | Problems (Hardcore)]]<br />
* October 12: Polynomials (Brian Rice) [[Media:PutnamProblemsOct12.pdf | Problems]], [[Media:PutnamProblemsOct12Hard.pdf | Problems (Hardcore)]]<br />
* October 19: A Grab Bag of Discrete Math (Brian Rice) [[Media:PutnamProblemsOct19.pdf | Problems]]<br />
* October 26: Calculus, Week 1 (Brian Rice) [[Media:PutnamProblemsOct26.pdf | Problems]]<br />
* November 2: Calculus, Week 2 (Brian Rice) [[Media:PutnamProblemsNov2.pdf | Problems]]<br />
* November 9: Linear and Abstract Algebra (Brian Rice) [[Media: PutnamProblemsNov9.pdf | Problems]]<br />
* November 16: Mock Putnam [[Media: MockPutnamProblems.pdf | Problems]], [[Media: MockPutnamSolutions.pdf | Solutions]]</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Option_2_packages&diff=15053Option 2 packages2018-02-07T23:32:28Z<p>Hanhart: /* Bio-Statistics */</p>
<hr />
<div>The '''Option 2 math major''' requires six math courses and four courses in an area of application. These four courses are required to have a certain mathematical content. They should also form a coherent collection of courses that reflect a plan to study some discipline outside of mathematics that uses a fair amount of mathematics. The selection of the four courses, together with the six required math courses must be approved by the student's advisor. This page lists some sample packages in several popular areas.<br />
<br />
== Economics and Business ==<br />
<br />
=== Actuarial Mathematics ===<br />
Actuaries use techniques in mathematics and statistics to evaluate risk in a variety of areas including insurance, finance, healthcare, and even criminal justice. In recent history the field has been revolutionized by advances in the theory of probability and the ability to access, store, and process very large data sets.<br />
<br />
Professional actuaries are currently in demand, have lucrative pay, and is a growth field [http://www.bls.gov/ooh/math/actuaries.htm]. Similar to some other fields (law, accounting, etc.) there are professional organizations which administer a series of examinations [http://www.beanactuary.org/exams/]. Oftentimes students complete some of these examinations before graduating which allows them to move right into a career (Note: these exams are not required for graduation).<br />
<br />
Students who are interested in actuarial mathematics should consider coursework in probability, statistics, analysis, as well as computational mathematics.<br />
<br />
'''Application Courses'''<br />
* [http://www.math.wisc.edu/node/96 Math 303]<br />
<br />
* Act. Sci 650 and 652<br />
<br />
* Act. Sci. 651 or 653<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521. <br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
** Has the prerequisite: one of the probability courses mentioned above AND an elementary stats class (Stat 302 is recommended).<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Linear Programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
'''Additional Courses to Consider'''<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
<br />
'''Also:''' Students interested in the areas of mathematics with applications to actuarial science might consider the following as well:<br />
<br />
* Advanced courses offered by the [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Department of Statistics].<br />
<br />
* A [http://bus.wisc.edu/knowledge-expertise/academic-departments/actuarial-science-risk-management-insurance program] offered by the UW-Madison School of Business.<br />
<br />
=== Business ===<br />
Applications of mathematics to business is often referred to as Operations Research or Management Science. Specifically, the goal is to use mathematics to make the best decisions in a variety of areas: searching, routing, scheduling, transport, etc.<br />
<br />
The modern version of the field grew out of the work mathematicians did in order to aid the Allied war effort during world war II.[http://www.history.army.mil/html/books/hist_op_research/CMH_70-102-1.pdf] Since then, the field has grown into a robust and active area of research and scholarship including several journals and professional organizations.[http://www.informs.org/]<br />
<br />
Students interested in applications of mathematics to business can find many employment opportunities in private corporations, government agencies, nonprofit enterprises, and more. Students can also move onto postgraduate programs in mathematics or business.<br />
<br />
'''Application Courses'''<br />
* Linear programming and Optimization: [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Note that this course cannot also be used as a core math course.<br />
* Operations Research: OTM 410<br />
* At least two from the following: Gen Bus 306, Gen Bus 307; OTM 451, 411, 633, 654<br />
** Note that OTM 633 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/111 Math/Stat 310]<br />
<br />
* Computational Mathematics: [https://www.math.wisc.edu/514-numerical-analysis Math 514] or [http://www.math.wisc.edu/513-numerical-linear-algebra 513]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastics: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics.<br />
* [http://www.math.wisc.edu/633-queueing-theory-and-stochastic-modeling Math 633].<br />
<br />
'''Also:''' Consider a program in the UW-Madison [http://bus.wisc.edu/bba/academics-and-programs/majors/operations-technology-management School of Business].<br />
<br />
=== Economics ===<br />
Economics is perhaps the most mathematical of the social sciences. Specifically economists wish to model and understand the behavior of individuals (people, countries, animals, etc.). Typically this is done by quantifying some elements of interest to the individuals.<br />
<br />
Due to the quantitative nature of the field, economic theory has begun to move from the classic areas of markets, products, supply, demand, etc. and into many seemingly unrelated areas: law, psychology, political science, biology, and more.[http://en.wikipedia.org/wiki/Economics_imperialism]<br />
<br />
Regardless, the backbone of economics and economic theory is mathematics. The classical area of mathematics most often related with economics is analysis. <br />
<br />
'''Application Courses'''<br />
* Microeconomics: Econ 301 or 311.<br />
* Macroeconomics: Econ 302 or 312.<br />
* Economic Electives: At least two courses from Econ 410, 460, 475, 503, 521, 525, and 666; Math 310 and Math 415.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Linear programming: [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in the [http://www.econ.wisc.edu/undergrad/Reqs%20for%20Major.html Department of Economics].<br />
<br />
=== Finance ===<br />
Financial mathematics is more popular than ever with financial firms hiring "quants" from all areas of mathematics and the natural sciences. Financial markets are of interest to mathematicians due to the difficult nature of modeling the complex systems. The standard tools involved are evolutionary differential equations, measure theory, and stochastic calculus.<br />
<br />
'''Application Courses'''<br />
* Statistics: Econ 410 or Math/Stat 310.<br />
* Finance core: Finance 300, 320, 330.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Mat 619].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522] and [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Linear Programming (optimization): [http://www.math.wisc.edu/525-linear-programming-methods Math 525].<br />
<br />
'''Also:'''<br />
Consider a program in [http://bus.wisc.edu/bba/academics-and-programs/majors/finance Finance] at the the Wisconsin School of Business.<br />
<br />
== Physical Sciences ==<br />
The physical sciences and mathematics have grown hand-in-hand since antiquity.<br />
Students with strong backgrounds in mathematics who are also interested in a branch of the physical sciences can find opportunities in laboratories, engineering firms, education, finance, law, business, and medicine. Those with very strong academic records can find themselves as preferred candidates for graduate study in their choice of field.<br />
<br />
The following sample programs in mathematics have strong relationships with a particular area of interest in the natural sciences.<br />
<br />
=== Atmospheric & Oceanic Sciences ===<br />
Weather and climate is determined by the interaction between two thin layers which cover the planet: The oceans and the atmosphere. Understanding how these two fluids act and interact allow humans to describe historical climate trends, forecast near future weather with incredible accuracy, and hopefully describe long term climate change which will affect the future of human society.<br />
<br />
A student interested in atmospheric and oceanic studies who has a strong mathematics background can find a career working in local, national, and international meteorological laboratories. These include private scientific consulting businesses as well as public enterprises. Students interested in graduate study could find their future studies supported by the National Science Foundation, the Department of Energy, NASA, or others [http://www.nsf.gov/funding/]. There is a large amount of funding available in the area due to the relevance research findings have on energy and economic policy.<br />
<br />
Mathematicians who work in Atmospheric and oceanic studies are drawn to the complexities of the problems and the variety of methods in both pure and applied mathematics which can be brought to bear on them. Students should take coursework in methods of applied mathematics, differential equations, computational mathematics, and differential geometry and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* ATM OCN 310, 311, and 330 [http://www.aos.wisc.edu/education/Syllabus/courses_majors.html]<br />
** 310 and 330 have Physics 208/248 as a prerequisite.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322]<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] or [http://www.math.wisc.edu/514-numerical-analysis 514]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Partial Differential Equations: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619]<br />
<br />
'''Also:''' Students who are interested in this area might consider <br />
* A program offered by the [http://www.aos.wisc.edu/education/undergrad_program.htm Department of Atmospheric and Oceanic Sciences].<br />
* The [http://www.math.wisc.edu/amep AMEP] program.<br />
<br />
=== Chemistry ===<br />
The applications of mathematics to chemistry range from the mundane: Ratios for chemical reactants; to the esoteric: Computational methods in quantum chemistry. Research in this latter topic lead to a Nobel Prize in Chemistry to mathematician [http://www.nobelprize.org/nobel_prizes/chemistry/laureates/1998/index.html John Pople].<br />
<br />
All areas of pure and applied mathematics have applications in modern chemistry. The most accessible track features coursework focusing on applied analysis and computational math. Students with a strong interest in theoretical mathematics should also consider modern algebra (for group theory) and topology.<br />
<br />
'''Application Courses'''<br />
* Physics 208 or Physics 248 [http://www.physics.wisc.edu/academic/undergrads/course-descriptions]<br />
** Both of these classes have prerequisites (Physics 207/247).<br />
* Analytical Chemistry: Chem 327 or Chem 329[http://www.chem.wisc.edu/content/courses]<br />
** Prerequisite: Chem 104 or 109 <br />
* Physical Chemistry: Chem 561 and 562<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 320 recommended.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
** Math 513 or 514 suggested.<br />
* Theory of Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Several higher level courses have connections to theoretical chemistry: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
** Any of these courses are acceptable in lieu of the 500 level courses above.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.chem.wisc.edu/content/undergraduate Department of Chemistry].<br />
<br />
=== Physics ===<br />
Perhaps the subject with the strongest historical ties with mathematics is physics. Certainly some of the great physical theories have been based on novel applications of mathematical theory or the invention of new subjects in the field: Newtonian mechanics and calculus, relativity and Riemannian geometry, quantum theory and functional analysis, etc.<br />
<br />
Nearly all mathematics courses offered here at UW Madison will have some applications to physics. The following is a collection of courses which would support general interest in physics.<br />
<br />
'''Application Courses'''<br />
* Mechanics, Electricity, and Magnetism: [http://www.physics.wisc.edu/academics/undergrads/inter-adv-311 Physics 311] and [http://www.physics.wisc.edu/academics/undergrads/inter-adv-322 Physics 322]<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 421 is suggested to prepare students for math 521.<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. See suggested courses below.<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* ODEs: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
* PDEs: [http://www.math.wisc.edu/619-analysis-of-partial-differential-equations Math 619].<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541].<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
* Differential Geometry [http://www.math.wisc.edu/561-differential-geometry Math 561].<br />
* Complex Analysis: [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/514-numerical-analysis 514].<br />
<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
=== Astronomy ===<br />
The Astronomy package has the same mathematics core, but different suggested application courses:<br />
<br />
'''Application Courses'''<br />
* Astronomy core: Choose two courses from Astron 310, 320, or 335.<br />
* Physics Electives: At least two 3-credit physics courses above the 400 level. These cannot include labs. Suggested courses are Physics 415, 448, 449, 525, 531, 535, 545, and 551.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Introduction to Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* At least one more 500 level course. Suggested courses are: Modern Algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), Topology ([http://www.math.wisc.edu/551-elementary-topology Math 551]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623)]<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses above the 500 level.<br />
<br />
'''Also:''' Consider a program offered by the [http://www.physics.wisc.edu/ Department of Physics] or [http://www.astro.wisc.edu/ Department of Astronomy].<br />
<br />
== Biological Sciences ==<br />
Applications of mathematics to biology has undergone a recent boom. Historically, the biologist was perhaps most interested in applications of calculus, but now nearly any modern area of mathematical research has an application to some biological field[http://www.ams.org/notices/199509/hoppensteadt.pdf]. The following lists some possibilities.<br />
<br />
=== Bio-Informatics ===<br />
Bioinformatics is the application of computational methods to understand biological information. Of course the most interesting items of biological information is genetic and genomic information. Considering that the human genome has over three billion basepairs [http://www.genome.gov/12011238], it's no wonder that many mathematicians find compelling problems in the area to devote their time.<br />
<br />
Students with strong mathematical backgrounds who are interested in bioinformatics can find careers as a part of research teams in public and private laboratories across the world [http://www.bioinformatics.org/jobs/]. Moreover, many universities have established interdisciplinary graduate programs promoting this intersection of mathematics, biology, and computer science [http://ils.unc.edu/informatics_programs/doc/Bioinformatics_2006.html].<br />
<br />
Students interested in bioinformatics should have a strong background in computational mathematics and probability. Students should also have a strong programming background.<br />
<br />
'''Application Courses'''<br />
* Computer Science: CS 300 and CS 400 (or CS 302 and CS 367).<br />
* Bioinformatics: [http://www.biostat.wisc.edu/content/bmi-576-introduction-bioinformatics BMI/CS 576]<br />
* Genetics: Gen 466<br />
** Note that this class has a prerequisite of a year of chemistry and a year of biology coursework. Please contact the UW-Madison [http://www.genetics.wisc.edu/UndergraduateProgram.htm genetics] program for more information.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Computational Mathematics: At least three of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Modern Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
<br />
'''Also''' <br />
* Consider a program in [http://www.cs.wisc.edu/academics/Undergraduate-Programs Computer Science] or [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
* Complete this major with a few additional courses if you are interested in medical school [http://prehealth.wisc.edu/explore/documents/Pre-Med.pdf].<br />
<br />
=== Bio-Statistics ===<br />
Biostatistics is the application of mathematical statistical methods to areas of biology. Historically, one could consider the field to have been founded by Gregor Mendel himself. He used basic principles of statistics and probability to offer a theory for which genetic traits would arise from cross hybridization of plants and animals. His work was forgotten for nearly fifty years before it was rediscovered and become an integral part of modern genetic theory.<br />
<br />
Beyond applications to genetics, applications of biostatistics range from public health policy to evaluating laboratory experimental results to tracking population dynamics in the field. Currently, health organizations consider there to be a shortage of trained biostatisticians[http://www.amstat.org/careers/biostatistics.cfm]. Students interested in this area should find excellent job prospects.<br />
<br />
Students interested in biostatistics should have strong backgrounds in probability, statistics, and computational methods.<br />
<br />
'''Application Courses'''<br />
* Statistics: Any four from Stat 333, 424, 575, 641, and 642 [http://www.stat.wisc.edu/course-listing]<br />
** Stat 333 has as a prerequisite some experience with statistical software. This can be achieved by also registering for Stat 327. Stat 327 is a single credit course which does not count for the mathematics major.<br />
<br />
'''Core Mathematics Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Students who use either Math 320 or Math 340 to fulfill their Linear Algebra requirement must take Math 421 before any mathematics course numbered above 500.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* More courses in computational mathematics listed above.<br />
* [http://www.math.wisc.edu/635-introduction-brownian-motion-and-stochastic-calculus Math 635]<br />
<br />
'''Also'''<br />
* Consider a program with [http://www.stat.wisc.edu/undergrad/undergraduate-statistics-program Statistics] or in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences].<br />
* Compare this major program to requirements for Medical School.<br />
<br />
=== Ecology, Forestry, Wildlife Ecology ===<br />
Applications of advanced mathematics to ecology has resulted in science's improved ability to track wild animal populations, predict the spread of diseases, model the impact of humans on native wildlife, control invasive species, and more. Modeling in this area is mathematically interesting due to the variety of scales and the inherent difficulty of doing science outside of a laboratory! As such the methods of deterministic and stochastic models are particularly useful.<br />
<br />
'''Application Courses'''<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Computational Methods: [http://www.cs.wisc.edu/courses/412 CS 412].<br />
* Any two courses from [http://zoology.wisc.edu/courses/courselist.htm Zoo 460, 504, and 540]; or [http://forestandwildlifeecology.wisc.edu/undergraduate-study-courses F&W Ecol 300, 410, 460, 531, 652, and 655].<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Stochastic Processes: Either [http://www.math.wisc.edu/math-605stochastic-methods-biology Math 605] or [http://www.math.wisc.edu/632-introduction-stochastic-processes 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
=== Genetics ===<br />
Applications of mathematics in genetics appear on a wide range of scales: chemical processes, cellular processes, organism breeding, and speciation. For applications of mathematics in genetics on the scale of chemical processes you might want to examine the suggested packages for bioinformatics or structural biology. If instead you are interested in the larger scale of organisms you might consider the package in biostatistics or the one below:<br />
<br />
'''Application Courses'''<br />
* Any four courses chosen from: GEN 466, 564, 565, 626, 629, and BMI 563.[http://www.genetics.wisc.edu/UndergraduateProgram.htm]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended for non-honors students.<br />
<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/443-applied-linear-algebra Math 443], [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
* Consider a program in the [http://www.cals.wisc.edu/departments/major College of Agriculture and Life Sciences] such as [http://www.genetics.wisc.edu/UndergraduateProgram.htm Genetics].<br />
<br />
=== Structural Biology ===<br />
Structural biologists are primarily interested in the large molecules which are involved in cellular processes: the fundamental chemical building blocks of life. The field lies on the intersection of biology, physics, chemistry, and mathematics and so structural biology is an exciting area of interdisciplinary research.<br />
<br />
In general, the mathematics involved in structural biology is focused on computational methods, probability, and statistics. Note that we offer a specialized course in Mathematics Methods in Structural Biology - Math 606.<br />
<br />
'''Application Courses'''<br />
* Analytical Methods in Chemistry: Chem 327 or 329<br />
* Physical Chemistry: Chem 561 and 562<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/mathematical-methods-structural-biology Math 606]<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [https://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Differential Geometry: [http://www.math.wisc.edu/561-differential-geometry Math 561]<br />
* Topology: [http://www.math.wisc.edu/551-elementary-topology Math 551].<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
=== Systems Biology ===<br />
Systems biology is the computational and mathematical modeling of biological systems at any scale. The classical example of this may be the [http://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equation predator-prey] model of differential equations which describe the relative population dynamics of two species. Other systems examples include disease transmission, chemical pathways, cellular processes, and more.<br />
<br />
In general, the mathematics involved in systems biology is focused on computational methods, dynamical systems, differential equations, the mathematics of networks, control theory, and others. Note that we offer a specialized course in Mathematical Methods in Systems Biology - Math 609.<br />
<br />
'''Application Courses'''<br />
* Organic Chemistry: Chem 341 or 343<br />
* Introductory Biochemistry: Biochem 501<br />
* Mathematical Methods in Structural Biology: [http://www.math.wisc.edu/609-mathematical-methods-systems-biology Math 609]<br />
* One Biochem elective: Any Biochem class numbered above 600. Suggested courses are Biochem 601, 612, 620, 621, 624, and 630.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Computational Mathematics: At least one of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Differential Equations: [http://www.math.wisc.edu/519-ordinary-differential-equations Math 519].<br />
<br />
'''Additional Courses to Consider'''<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Additional courses in computational mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Also:'''<br />
Consider a program in [http://biologymajor.wisc.edu/ Biology], [http://www.biochem.wisc.edu/ Biochemistry], or [http://www.chem.wisc.edu/ Chemistry].<br />
<br />
== Engineering ==<br />
Engineering is the application of science and mathematics to the invention, improvement, and maintenance of anything and everything. As with many of the sciences, engineers and mathematicians have a symbiotic relationship: Engineers use mathematics to make new things; the new things exhibit novel properties that are mathematically interesting.<br />
<br />
In general all of mathematics can be applied to some field of engineering. However the programs offered below are not substitutes for engineering degrees. That is, student who are interested in an engineering career upon completion of their undergraduate degree should probably enroll in one of the engineering programs offered by the [http://www.engr.wisc.edu/current/undergrad.html College of Engineering]. Similarly, students who are primarily interested in mathematics might instead choose an option I major and concentrate their upper level coursework in applied mathematics. Students who are truly interested in both areas should consider the degree program in [http://www.math.wisc.edu/amep Applied Mathematics, Engineering, and Physics].<br />
<br />
So who do the programs below serve? They serve engineering students who wish to take a second major in mathematics. In general such students are excellent candidates for graduate study in engineering.<br />
<br />
=== Chemical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Chemical Engineering who are interested in pursuing a second major in mathematics.<br />
<br />
'''Application Courses'''<br />
* [http://www.engr.wisc.edu/cmsdocuments/cbe-undergrade-handbook-2009-v7.pdf CBE 320, 326, 426, 470]<br />
** Note: All of these course are required for the undergraduate program in chemical engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), algebra ([http://www.math.wisc.edu/541-modern-algebra Math 541]), complex analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]), and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
<br />
=== Civil Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Civil and Environmental Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Fluid Mechanics and Structural Analysis: [http://courses.engr.wisc.edu/cee/ CIV ENG 310, 311, 340]<br />
** Note: All of these course are required for the undergraduate program in civil engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective Structural Analysis Course: CIV ENG 440, 442, 445, or 447.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]); and computational mathematics (in particular [http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], and [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
<br />
=== Electrical and Computer Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Computer and Electrical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core ECE: [http://courses.engr.wisc.edu/ece/ ECE 220, 230, 352]<br />
** Note: All of these course are required for the undergraduate program in electrical and computer engineering.<br />
** Several of these courses have as a prerequisite other engineering and science courses.<br />
* One elective: ECE 435, 525, or 533.<br />
** Each of these courses may be used as an elective in the undergraduate program in civil engineering.<br />
** ECE 435 is crosslisted with math. It cannot be used as both an application course AND a core math course.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* At least two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), linear programming [http://www.math.wisc.edu/525-linear-programming-methods Math 525], modern algebra [http://www.math.wisc.edu/541-modern-algebra Math 541], differential geometry [http://www.math.wisc.edu/561-differential-geometry Math 561], and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses above the 500 level listed above.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632]<br />
* Error correcting codes: [http://www.math.wisc.edu/641-introduction-error-correcting-codes Math 641]<br />
<br />
===Engineering Mechanics and Astronautics===<br />
The following program details an option 2 package for students in the College of Engineering program in Engineering Mechanics and Astronautics who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Engineering Mechanics: [http://courses.engr.wisc.edu/ema/ EMA 201, 202, 303]<br />
* One elective: EMA 521, 542, 545, or 563<br />
** All of the above courses may be used to satisfy the EMA program requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525]), and complex analysis [http://www.math.wisc.edu/623-complex-analysis Math 623].<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
<br />
=== Industrial Engineering ===<br />
Industrial engineering is the application of engineering principles to create the most effective means of production. In particular, they work to optimize complex systems.<br />
<br />
'''Application Courses[http://www.engr.wisc.edu/isye/isye-curriculum-documents.html]'''<br />
* Core Industrial engineering: I SY E 315, 320, and 323.<br />
* Industrial Engineering Elective: At least one of I SY E 425, 516, 525, 526, 558, 575, 615, 620, 624, 635, or 643.<br />
** Note: ISYE 425 and 525 are both crosslisted with math and cannot be used to complete both the application and core math requirements.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 recommended.<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Math 376 is an honors course.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Both 309 and 431 are preferred over stat 311.<br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513] and [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Numerical Analysis: [http://www.math.wisc.edu/514-numerical-analysis Math 514].<br />
<br />
'''Also:'''<br />
Consider the program in [http://www.engr.wisc.edu/isye/isye-academics-undergraduate-program.html Industrial Engineering] offered by the College of Engineering.<br />
<br />
=== Materials Science ===<br />
The following program details an option 2 package for students in the College of Engineering program in Materials Science and Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Materials Courses: [http://www.engr.wisc.edu/cmsdocuments/Degree_requirements_2014.pdf MSE 330, 331, and 351]<br />
* One Engineering Elective: CBE 255, CS 300, CS 302, CS 310, ECE 230, ECE 376, EMA 303, Phys 321, Stat 424].<br />
** All of the above classes may be used to satisfy the program requirements for MS&E BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Mechanical Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Mechanical Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Mechanical Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/me-flowchart-spring-2014.pdf ME 340, 361, 363, 364]<br />
** All of the above courses are required by the Mechanical Engineering program.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521] and [http://www.math.wisc.edu/522-advanced-calculus 522]), and computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets 515], and [http://www.math.wisc.edu/525-linear-programming-methods 525])<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415]<br />
* Additional courses above the 500 level listed above.<br />
<br />
=== Nuclear Engineering ===<br />
The following program details an option 2 package for students in the College of Engineering program in Nuclear Engineering who are interested in pursuing a second major in mathematics. <br />
<br />
'''Application Courses'''<br />
* Core Nuclear Engineering Courses: [http://www.engr.wisc.edu/cmsdocuments/NE-UGguide2014.pdf NE 305, 405, and 408]<br />
* One Engineering Elective: Physics 321 or 322, ECE 376, BME 501, or NE 411.<br />
** All of the above classes may be used to satisfy the program requirements for the Nuclear Engineering BS degree.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
* Differential Equations: [http://www.math.wisc.edu/319-techniques-ordinary-differential-equations Math 319] or [http://www.math.wisc.edu/node/83 Math 376]<br />
** Students who take math 320 should instead consider an additional course below.<br />
* Applied Analysis: [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis Math 322]<br />
* Two courses above the 500 level. Suggested courses to choose from are real analysis ([http://www.math.wisc.edu/521-advanced-calculus Math 521]), computational methods in mathematics ([http://www.math.wisc.edu/513-numerical-linear-algebra Math 513] and [http://www.math.wisc.edu/514-numerical-analysis 514]), Differential Geometry ([http://www.math.wisc.edu/561-differential-geometry Math 561]), and Complex Analysis ([http://www.math.wisc.edu/623-complex-analysis Math 623]).<br />
<br />
'''Additional Courses to Consider'''<br />
* Dynamical Systems: [http://www.math.wisc.edu/415-applied-dynamical-systems-chaos-and-modeling Math 415].<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
* Additional courses above the 500 level listed above.<br />
<br />
== Computer Science ==<br />
Computer science as an independent discipline is rather young: The first computer science degree program offered in the United States was formed in 1962 (at Purdue University). Despite its youth, one could argue that no single academic discipline has had more of an effect on human society since the scientific revolution.<br />
<br />
Since computer science is foremost concerned with the theory of computation, its link with mathematics is robust. Historical examples include Alan Turing, A mathematician and WWII cryptoanalyst who's theory of the Universal Turing Machine forms the central framework of modern computation; and John Von Neumann, A mathematician who's name is ascribed to the architecture still used for nearly all computers today.[https://web.archive.org/web/20130314123032/http://qss.stanford.edu/~godfrey/vonNeumann/vnedvac.pdf] There are broad overlaps in reasearch in the two fields. For example, one of the most famous unsolved problems in mathematics, the [http://www.claymath.org/millenium-problems/p-vs-np-problem P vs NP] problem, is also considered an open problem in the theory of computation.<br />
<br />
Since computer science is a full field enveloping philosophy, mathematics, and engineering there are many possible areas of interest which a student of mathematics and computer science might focus on. Below are several examples.<br />
<br />
=== Computational Methods ===<br />
Computational methods are the algorithms a computer follows in order to perform a specific task. Of interest besides the algorithms is methods for evaluating their quality and efficiency. Since computational mathematics is on the interface between pure and applied methods students who concentrate in this area can find many exciting research opportunities available at the undergraduate level. <br />
<br />
The mathematical coursework focuses on combinatorics, analysis, and numerical methods. <br />
<br />
'''Application Courses'''<br />
* Any four courses from: CS 352, 367, 400, 412, 435, 475, 513, 514, 515, 520, 525, 533, 540, 545, 558, 559, and 577.<br />
** Note that 435, 475, 513, 514, 515, and 525 are crosslisted with math. They may not be used as both application courses and core mathematics courses<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Advanced Calculus [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] and/or [http://www.math.wisc.edu/521-advanced-calculus Math 521]<br />
* Computational Mathematics: At least two of [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], [http://www.math.wisc.edu/515-introduction-splines-and-wavelets Math 515], [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
<br />
'''Additional Courses to Consider'''<br />
* Additional courses in computational mathematics above.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310].<br />
* Analysis II: [http://www.math.wisc.edu/522-advanced-calculus Math 522].<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542].<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567].<br />
* Logic: [http://www.math.wisc.edu/571-mathematical-logic Math 571].<br />
<br />
'''Also:'''<br />
Consider the program in the [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science].<br />
<br />
=== Theoretical Computer Science ===<br />
If you are interested in a more theoretical bend to your studies, follow the program above but with the following changes:<br />
* Include both CS 520 and CS 577 into your core applied courses.<br />
* Replace the two computational methods courses with Math 567 and Math 571.<br />
<br />
=== Cryptography ===<br />
Due to the widespread use of computer storage, platforms, and devices; security is now of singular interest. Students with expertise in the mathematics associated with cryptography can find interesting opportunities after graduation in public and private security sectors.<br />
<br />
The mathematics associated to secure messaging and cryptography is typically centered on combinatorics and number theory.<br />
<br />
'''Application Courses'''<br />
* Programming: CS 300 and CS 400 (or CS 302 and 367).<br />
* One of the following two pairs:<br />
** The CS track: Operating systems (CS 537) and Security (CS 642)<br />
** The ECE track: Digital Systems: (ECE 352) and Error Correcting Codes (ECE 641).<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] or [http://www.math.wisc.edu/531-probability-theory 531]<br />
** Math 431 and 309 are equivalent. <br />
** Math 531 is advanced probability and may be taken only after Math 421 or Math 521.<br />
* Cryptography: [http://www.math.wisc.edu/435-introduction-cryptography Math 435]<br />
* Algebra: [http://www.math.wisc.edu/541-modern-algebra Math 541] and [http://www.math.wisc.edu/542-modern-algebra 542]<br />
* Number Theory: [http://www.math.wisc.edu/567-elementary-number-theory Math 567]<br />
<br />
'''Additional Courses to Consider'''<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Also:'''<br />
Consider combining the programs offered by [http://www.cs.wisc.edu/academics/Undergraduate-Programs Department of Computer Science] or [http://www.engr.wisc.edu/ece/ece-academics-undergraduate-program.html Computer Engineering].<br />
<br />
== Secondary Education ==<br />
The so called STEM fields continue to be a major area of interest and investment for education policy makers. In particular secondary education instructors with strong mathematics backgrounds are in demand across the nation in public, private, and charter school environments. <br />
<br />
The following program was designed for a math major who is interested in becoming an educator at the secondary level. Note that successful completion of the coursework outlined below would make a strong candidate for graduate work in mathematics and education at the masters level. Our own School of Education offers a [http://www.uwteach.com/mathematics.html Masters Degree in Secondary Mathematics] which concludes with state certification. <br />
<br />
''Note that a major requires at least two courses at the 500 level. Therefore you should consider the suggestions below carefully.''<br />
<br />
'''Application Courses'''<br />
* History and philosophy of mathematics: [http://www.math.wisc.edu/473-history-mathematics Math 473].<br />
* Math education capstone course: [http://www.math.wisc.edu/371-basic-concepts-mathematics Math 471]<br />
* Two additional courses from Mathematics, Computer Science, Physics, or Economics at the Intermediate or Advanced Level.<br />
** Suggested: CS 300, CS 302, Phys 207, Math 421, Math 475, Math 561, Math 567<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 (or Math 375) suggested.<br />
* College Geometry: [http://www.math.wisc.edu/461-college-geometry-i Math 461]. <br />
* Probability: [http://www.math.wisc.edu/node/111 Math 309] or [http://www.math.wisc.edu/431-introduction-theory-probability Math 431] <br />
** Math 431 and 309 are equivalent. <br />
** [http://www.math.wisc.edu/531-probability-theory Math 531] can also be considered. This is a proof based introduction to probability and may be taken only after Math 421 or Math 521.<br />
* Statistics: [http://www.math.wisc.edu/node/114 Math 310] (Math 310 has a prerequisite of Math 309 or 431.)<br />
* Modern Algebra: [http://www.math.wisc.edu/441-introduction-modern-algebra Math 441] or [http://www.math.wisc.edu/541-modern-algebra 541].<br />
* Analysis: [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or [http://www.math.wisc.edu/521-advanced-calculus 521].<br />
** Math 521 is strongly suggested for students planning to teach AP Calculus in high school<br />
<br />
'''Additional Courses to Consider'''<br />
* Math 421 can be a useful course to take before the 500 level coursework.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475]<br />
* Additional courses at the 500 level in mathematics.<br />
* Courses in computer programming, statistics, physics, economics, and finance can broaden your content areas and qualify you for more subjects.<br />
<br />
== Statistics ==<br />
Statistics is the study of the collection, measuring, and evaluation of data. Recent advances in our ability to collect and parse large amounts of data has made the field more exciting then ever before. Positions in data analysis are becoming common outside of laboratory environments: marketing, education, health, sports, infrastructure, politics, etc.<br />
<br />
Statistics has a strong relationship with mathematics. The areas of mathematics of particular interest are linear algebra, probability, and analysis.<br />
<br />
'''Application Courses'''<br />
* Core Statistics: Stat 333 and Stat 424<br />
* Statistics Electives: At least two from: Stat 349, 351, 411, 421, 456, 471, 479, 609, or 610.<br />
<br />
'''Core Math Courses'''<br />
* one [[Undergraduate_Linear_Algebra_Courses|Linear Algebra]] course<br />
** Math 341 suggested.<br />
* Mathematical Statistics Sequence: [http://www.math.wisc.edu/node/111 Math 309] and [http://www.math.wisc.edu/node/114 Math 310]<br />
** Math 431 may be used for Math 309.<br />
* Combinatorics: [http://www.math.wisc.edu/475-introduction-combinatorics Math 475].<br />
* Analysis: [http://www.math.wisc.edu/521-advanced-calculus Math 521].<br />
* Stochastic Processes: [http://www.math.wisc.edu/632-introduction-stochastic-processes Math 632].<br />
<br />
'''Additional Courses to Consider'''<br />
* Computational Mathematics: [http://www.math.wisc.edu/513-numerical-linear-algebra 513], [http://www.math.wisc.edu/514-numerical-analysis 514], or [http://www.math.wisc.edu/525-linear-programming-methods Math 525]<br />
* Analysis and Measure Theory: [http://www.math.wisc.edu/522-advanced-calculus Math 522], [http://www.math.wisc.edu/621-analysis-iii-0 621], or [http://www.math.wisc.edu/629-introduction-measure-and-integration 629].<br />
* Advanced Probability Theory [http://www.math.wisc.edu/531-probability-theory Math 531].<br />
* Algebra: [https://www.math.wisc.edu/541-modern-algebra Math 541].<br />
<br />
'''Also:'''<br />
A student who wishes to complete a major in statistics offered by the [https://www.stat.wisc.edu/undergrad/undergraduate-major-statistics Department of Statistics] should complete the program above and include:<br />
* Stat 302 and 327.<br />
* A course in programming (e.g. CS 300).<br />
* At least one more course from the statistics electives above.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=15049Undergraduate Linear Algebra Courses2018-02-07T19:28:45Z<p>Hanhart: /* Math 375 Topics in Multi-Variable Calculus and Linear Algebra */</p>
<hr />
<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
This course is very useful for students interested in the option 2 major focused on traditional applications of mathematics through continuous models. It allows a student to move into intermediate level coursework without having to complete an introduction to differential equations.<br />
<br />
Students who have completed Math 320 are STRONGLY encouraged to take either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not necessarily a good introduction to formal mathematical arguments.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and linear operators as matrices. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed math 340 are STRONGLY encouraged to take [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for an introduction to proofs and proofwriting before moving on to courses above the 500 level.<br />
<br />
In summary math 340 is:<br />
* Accepted in both major versions and the certificate.<br />
* Not necessarily a good introduction to proofs and proofwriting.<br />
* '''Not suggested for majors'''.<br />
* Ideal for students in other programs who need functional knowledge of basic matrix algebra in particular those looking for applications featuring discrete mathematics (i.e., computer science and possibly statistics).<br />
* Subsequent math courses:<br />
** [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for those interested in advanced undergradaute math courses above the 500 level.<br />
** ODE [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] for those interested in the applied analysis sequence.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
This course is acceptable to both versions of the major. It is the recommended linear algebra course for most math majors including those in the option 1 path and those in option 2 who may not want to complete the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] sequence.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* '''The preferred course for most majors.'''<br />
* Subsequent courses:<br />
** [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for another exposure to formal mathematical arguments at the introductory level.<br />
** Any math course above the 500 level (possibly assuming other prereqs).<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
This course is acceptable in both versions of the major.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Enrollment is by permission only.<br />
* Not open to students who have credit for Math 234.<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* Students who complete Math 375 and not Math 376 are not considered to have completed the content of Math 234!</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=15048Undergraduate Linear Algebra Courses2018-02-07T19:26:39Z<p>Hanhart: /* Math 341 Linear Algebra */</p>
<hr />
<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
This course is very useful for students interested in the option 2 major focused on traditional applications of mathematics through continuous models. It allows a student to move into intermediate level coursework without having to complete an introduction to differential equations.<br />
<br />
Students who have completed Math 320 are STRONGLY encouraged to take either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not necessarily a good introduction to formal mathematical arguments.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and linear operators as matrices. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed math 340 are STRONGLY encouraged to take [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for an introduction to proofs and proofwriting before moving on to courses above the 500 level.<br />
<br />
In summary math 340 is:<br />
* Accepted in both major versions and the certificate.<br />
* Not necessarily a good introduction to proofs and proofwriting.<br />
* '''Not suggested for majors'''.<br />
* Ideal for students in other programs who need functional knowledge of basic matrix algebra in particular those looking for applications featuring discrete mathematics (i.e., computer science and possibly statistics).<br />
* Subsequent math courses:<br />
** [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for those interested in advanced undergradaute math courses above the 500 level.<br />
** ODE [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] for those interested in the applied analysis sequence.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
This course is acceptable to both versions of the major. It is the recommended linear algebra course for most math majors including those in the option 1 path and those in option 2 who may not want to complete the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] sequence.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* '''The preferred course for most majors.'''<br />
* Subsequent courses:<br />
** [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for another exposure to formal mathematical arguments at the introductory level.<br />
** Any math course above the 500 level (possibly assuming other prereqs).<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
This course is acceptable in both versions of the major.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Not open to students who have completed Math 234.<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=15047Undergraduate Linear Algebra Courses2018-02-07T19:22:47Z<p>Hanhart: /* Math 340 Elementary Matrix and Linear Algebra */</p>
<hr />
<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
This course is very useful for students interested in the option 2 major focused on traditional applications of mathematics through continuous models. It allows a student to move into intermediate level coursework without having to complete an introduction to differential equations.<br />
<br />
Students who have completed Math 320 are STRONGLY encouraged to take either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not necessarily a good introduction to formal mathematical arguments.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and linear operators as matrices. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed math 340 are STRONGLY encouraged to take [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for an introduction to proofs and proofwriting before moving on to courses above the 500 level.<br />
<br />
In summary math 340 is:<br />
* Accepted in both major versions and the certificate.<br />
* Not necessarily a good introduction to proofs and proofwriting.<br />
* '''Not suggested for majors'''.<br />
* Ideal for students in other programs who need functional knowledge of basic matrix algebra in particular those looking for applications featuring discrete mathematics (i.e., computer science and possibly statistics).<br />
* Subsequent math courses:<br />
** [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for those interested in advanced undergradaute math courses above the 500 level.<br />
** ODE [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] for those interested in the applied analysis sequence.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
This course is acceptable to both versions of the major. It is the recommended linear algebra course for option 1 students. It is also highly recommended for students in option 2 who may not want to complete the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] sequence.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* '''The preferred course for majors.'''<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
This course is acceptable in both versions of the major.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Not open to students who have completed Math 234.<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.</div>Hanharthttps://www.math.wisc.edu/wiki/index.php?title=Undergraduate_Linear_Algebra_Courses&diff=15046Undergraduate Linear Algebra Courses2018-02-07T19:14:57Z<p>Hanhart: /* Math 320 Linear Algebra and Differential Equations */</p>
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<div>In order to complete the [https://www.math.wisc.edu/undergraduate/mathmajor major in mathematics] you must take a course in linear algebra. At [http://www.math.wisc.edu/ UW-Madison] we offer several versions of linear algebra. '''Note that in all versions of the major and certificate, only ONE of the following courses may be used to fulfill any of the requirements.''' The purpose of this page is to describe the essential differences between the courses. <br />
<br />
== [https://www.math.wisc.edu/320-Linear-Algebra-Differential-Equations Math 320] Linear Algebra and Differential Equations ==<br />
Math 320 covers both some linear algebra and some differential equation theory. As such, students who complete this course can consider themselves as also having some of the content of [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319] (introduction to differential equations). The difference between this course and taking both 319 and 340 is that one will be able to see how theory and applications unite in a meaningful way. This course also lends itself to the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] applied analysis sequence.<br />
<br />
This course is very useful for students interested in the option 2 major focused on traditional applications of mathematics through continuous models. It allows a student to move into intermediate level coursework without having to complete an introduction to differential equations.<br />
<br />
Students who have completed Math 320 are STRONGLY encouraged to take either 1) [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] or 2) the applied analysis sequence [http://www.math.wisc.edu/321-applied-mathematical-analysis Math 321] and [http://www.math.wisc.edu/322-applied-mathematical-analysis 322] before moving on to the 500 level.<br />
<br />
In summary math 320 is:<br />
* Useful for students interested in classical applications of mathematics (i.e., physics, engineering, continuous modeling, etc.)<br />
* Covers material in Math 319 and therefore '''credit for only one of Math 319 and 320 can be applied to the math major or certificate'''.<br />
* Not necessarily a good introduction to formal mathematical arguments.<br />
* Good introduction to how theory and applications support each other.<br />
* '''Is offered with an honors(!) version. This version is suggested for potential math majors and those in the [https://www.math.wisc.edu/amep AMEP] program'''.<br />
* Suggested further courses are <br />
** The applied analysis sequence [https://www.math.wisc.edu/321-Applied-Mathematical-Analysis Math 321] - [https://www.math.wisc.edu/322-Applied-Mathematical-Analysis math 322] which covers more mathematics useful for traditional applications.<br />
** Dynamical systems [https://www.math.wisc.edu/415-Applied-Dynamical-Systems-Chaos-Modeling Math 415] which includes both continuous and discrete models of changing systems.<br />
** Theory of Calculus [https://www.math.wisc.edu/421-Theory-Single-Variable-Calculus Math 421] for an introduction to more formal mathematical arguments.<br />
<br />
== [https://www.math.wisc.edu/340-Elementary-Matrix-Linear-Algebra Math 340] Elementary Matrix and Linear Algebra ==<br />
Math 340 a basic linear algebra course which focuses on vectors as ordered sets of real numbers and matrices as linear operators. In this course the focus is typically on computational aspects of the subject with some lighter treatment of the more theoretical points.<br />
<br />
This course is accepted in both the option 1 and option 2 form of the major, however in both cases there may be a better choice.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
Students who have completed math 340 are STRONGLY encouraged to take [http://www.math.wisc.edu/421-theory-single-variable-calculus Math 421] for an introduction to proofs and proofwriting before moving on to courses above the 500 level.<br />
<br />
In summary math 340 is:<br />
* Accepted in both major versions and the certificate.<br />
* Not necessarily a good introduction to proofs and proofwriting.<br />
* '''Not suggested for majors'''.<br />
* Best for students in other programs who need functional knowledge of basic matrix algebra.<br />
<br />
== [http://www.math.wisc.edu/341-linear-algebra Math 341] Linear Algebra ==<br />
Math 341 is a linear algebra course which is also meant to be an introduction to proofs and proofwriting. The linear algebra content of the course is more robust than any of the others listed on this page. Students who complete the course should be well prepared to move onto any upper level course, in particular [https://www.math.wisc.edu/521-Analysis-1 Math 521], [https://www.math.wisc.edu/522-Analysis-2 541], or [https://www.math.wisc.edu/551-Elementary-Topology 551].<br />
<br />
This course is acceptable to both versions of the major. It is the recommended linear algebra course for option 1 students. It is also highly recommended for students in option 2 who may not want to complete the [http://www.math.wisc.edu/321-applied-mathematical-analysis 321]-[http://www.math.wisc.edu/322-applied-mathematical-analysis 322] sequence.<br />
<br />
Students who complete this course and would also like exposure to differential equations should consider [https://www.math.wisc.edu/319-Tech-Ordinary-Differential-Equations Math 319].<br />
<br />
In summary math 341 is:<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.<br />
* '''The preferred course for majors.'''<br />
<br />
== [https://www.math.wisc.edu/375-Multivariable-Calculus-Linear-Algebra Math 375] Topics in Multi-Variable Calculus and Linear Algebra==<br />
Math 375 is an Honors course which features the role that linear algebra has in multivariable calculus. Students who have completed [https://www.math.wisc.edu/234-Calculus-Functions-Several-Variables Math 234] (Calculus - Functions of Several Variables) may not take this course.<br />
<br />
This course is acceptable in both versions of the major.<br />
<br />
Students who complete this course are also expected to complete the sequel course: [https://www.math.wisc.edu/376-Multivariable-Calculus-Differential-Equations Math 376].<br />
<br />
In summary Math 375 is:<br />
* '''Honors level.'''<br />
* Not open to students who have completed Math 234.<br />
* Accepted in both major versions and the certificate.<br />
* A good introduction to proofs and proofwriting.</div>Hanhart