IE 518

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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.

Prerequisite: IE 410 or an equivalent graduate stochastic processes course.

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