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) 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 Course Content:
- 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