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IE 518 A - Queueing Systems

Campus: Urbana-Champaign


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): 0

Course Level: Graduate

Credit: 4

Term(s): Fall


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