IE 518 A - Queueing Systems
Campus: Urbana-Champaign
Description:
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.
Option 1
Number of Required Visit(s): 0Course Level: Graduate
Credit: 4
Term(s): Fall
