IE 518 - Queueing Systems
|Queueing Systems||IE518||A||73947||LEC||4||1530 - 1650||T R||139 Loomis Laboratory||Alexander Stolyar|
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. Course Information: 4 graduate hours. No professional credit. Prerequisite: IE 410 or an equivalent graduate stochastic processes course.