IE 410

Fall 2026 Part of Term 1

Part of Term 1
Aug 24-Dec 9

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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IE 410 class schedule data for fall 2026
	Status		CRN	Type	Section	Time	Day	Location	Instructor	Section Details
			30396	Laboratory Lecture-Discussion	E E	4:00PM -4:50PM 3:00PM -3:50PM	MW MW	Digital Computer Laboratory Digital Computer Laboratory	Jacobson, S Jacobson, S	Availability: CrossListOpen (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 3 hours Restriction(s): Restricted to Undergrad - Urbana-Champaign.
			58068	Laboratory Lecture-Discussion	G G	4:00PM -4:50PM 3:00PM -3:50PM	MW MW	Digital Computer Laboratory Digital Computer Laboratory	Jacobson, S Jacobson, S	Availability: CrossListOpen (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.