IE 370

Spring 2025 All Classes

All Classes

Stochastic Processes and Applications

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Credit: 3 hours.

Introduction to stochastic processes with applications in decision-making under uncertainty. Topics include newsvendor problem, discrete-time Markov chain (including classification of states, stationary distribution, absorbing states), Poisson processes (including time-homogenous, time-nonhomogeneous, thinning Poisson), continuous-time Markov chain (including Markov property, generator matrix, stationary distribution), queuing theory (including M/M/k queue, open Jackson network), and Markov decision processes (including finite-horizon models, infinite-horizon models).

Prerequisite: IE 300 and IE 310.

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IE 370 class schedule data for spring 2025
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	66991	Lecture	SP	5:00PM -6:20PM	TR	Transportation Building	Stolyar, A	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 3 hours Section Info: Prerequisites and concurrent registration will be enforced. Students who have not met these will be removed from this course. Restriction(s): Restricted to Industrial Engineering or Systems Engineering and Design major(s).