IE 410 OE - Adv Stochastic Process & Appl
Campus: Urbana-Champaign
Description:
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. Course Information: Same as CS 481. 3 undergraduate hours. 4 graduate hours. Prerequisite: IE 310.
Option 1
Number of Required Visit(s): 0Course Level: Graduate
Credit: 0
Term(s): Fall
Option 2
Number of Required Visit(s): 0Course Level: Graduate
Credit: 3
Term(s): Fall
