IE 370

Spring 2021 All Classes

All Classes

Stochastic Processes and Applications

SHOW FINAL EXAM SCHEDULE

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.

My Favorites

My Schedule

Section Status updates every 10 minutes.

IE 370 class schedule data for spring 2021
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	66991	Online Lecture	SP	5:00PM -6:20PM	TR	n.a.	Stolyar, A	Part of Term: 1 Date Range: 01/25/21-05/05/21 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 major(s). Restricted to students in the Industrial&Enterprise Sys Eng department.