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 .