IE 410
fall 2020
All Classes
Advanced Topics in Stochastic Processes & Applications
Credit: 3 OR 4 hours.
Modeling and analysis of stochastic processes. Transient and steady-state behavior of continuous-time Markov chains; renewal processes; models of queuing systems (birth-and-death models, embedded-Markov-chain models, queuing networks); reliability models; inventory models. Familiarity with discrete-time Markov chains, Poisson processes, and birth-and-death processes is assumed.
Same as CS 481. 3 undergraduate hours. 4 graduate hours. Prerequisite: IE 310.
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