IE 518
Fall 2021 Part of Term 1
Part of Term 1
Aug 23-Dec 8
Aug 23-Dec 8
Credit: 4 hours.
An introduction to queueing systems and their applications in engineering. Topics include both classical single-stage models and queueing networks. Students will learn how to apply key ideas and methods of queueing theory, such as: Markov processes, embedded Markov chains, PASTA property, reversibility, productform stationary distributions, stochastic stability, asymptotic analysis.
4 graduate hours. No professional credit. Prerequisite: IE 410 or an equivalent graduate stochastic processes course.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
73947
|
Lecture
|
A
|
3:30PM
-4:50PM
|
TR
|
Loomis Laboratory
|
Stolyar, A
|
|