Math 633 - Queueing Theory and Stochastic Modeling

• Prerequisites: Math/Ind Engr 632, or consent of instructor.
• Frequency: Irregular.
• Student Body: advanced undergraduate and graduate students
• Credits: 3 (N-A)
• Recent Texts:
• Past Instructors:
• Background and Goals: This course is oriented towards the study of the stochastic models that arise in operations research and management science. Emphasis is placed on queueing models and their related stochastic properties.
• Alternatives: N/A
• Subsequent Courses: Graduate level courses

Content coverage:

• Reliability theory; coherent systems and reliability bounds
• Markovian queues and Jackson networks
• Steady-state behavior of general service time queues
• Priority queues
• Approximation methods and algorithms for complex queues
• Simulation
• Dynamic programming; applications to inventory and queueing