The Grainger College of Engineering
Industrial & Enterprise Systems Engineering

IE 410

IE 410 - Advanced Topics in Stochastic Processes & Applications

Spring 2027

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Adv Stochastic Process & ApplCS481G79188PKG41400 - 1450 T R    Behrouz Touri
Adv Stochastic Process & ApplCS481G79188PKG41500 - 1550 T R    Behrouz Touri
Adv Stochastic Process & ApplCS481U79187PKG31500 - 1550 T R  305 Materials Science & Eng Bld Behrouz Touri
Adv Stochastic Process & ApplCS481U79187PKG31400 - 1450 T R  1043 Sidney Lu Mech Engr Bldg Behrouz Touri
Adv Stochastic Process & ApplIE410G79186PKG41500 - 1550 T R  305 Materials Science & Eng Bld Behrouz Touri
Adv Stochastic Process & ApplIE410G79186PKG41400 - 1450 T R  1043 Sidney Lu Mech Engr Bldg Behrouz Touri
Adv Stochastic Process & ApplIE410U79185PKG31400 - 1450 T R  1043 Sidney Lu Mech Engr Bldg Behrouz Touri
Adv Stochastic Process & ApplIE410U79185PKG31500 - 1550 T R  305 Materials Science & Eng Bld Behrouz Touri

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Documents

Official 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.

Course Description

Modeling and analysis of stochastic processes. Background on probability models. Transient and steady-state behavior of discrete-time Markov chains. Time-reversible Markov chains, Markov decision processes. Applications of Markov chains. Branching processes. Homogeneous and inhomogeneous Poisson processes. Selected topics. Same as CS 481. 3 undergraduate hours. 4 graduate hours. Prerequisite: IE 310.

Last updated

8/23/2016