ISE 362
Stochastic Models in Industrial Engineering
Section: 001

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.

Fall 2024

Instructors

Meeting Patterns

Classes Start:
August 19, 2024
Classes End:
December 3, 2024
Location:
04290 Fitts-Woolard Hall
Class Days:
M W
Class Start Time:
1:30pm
Class End Time:
2:45pm

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

Tools