ISE 362
Stochastic Models in Industrial Engineering
Section: 002

Course Description

Introduction to mathematical modeling, analysis, and solution procedures applicable to uncertain (stochastic) production systems. Methodologies covered include probability theory and stochastic processes. Applications relate to design and analysisof problems, capacity planning, inventory control, waiting lines, and system reliability and maintainability.

Spring 2026

Instructors

Meeting Patterns

Classes Start:
January 12, 2026
Classes End:
April 28, 2026
Location:
02240 Engineering Building 3
Class Days:
M W
Class Start Time:
11:45am
Class End Time:
1:00pm

Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: C or better in ISE 135 and (MA 303 or MA 341) and C- or better in ST 371 or ST 370