Course Description
Discrete-event stochastic simulation for the modeling and analysis of systems. Programming of simulation models in a simulation language. Input data analysis, variance reduction techniques, validation and verification, and analysis of simulation output. Random number generators and random variate generation.
Spring 2022
Instructors
Meeting Patterns
Classes Start:
January 10, 2022
Classes End:
April 25, 2022
Location:
02211 Textiles Complex
Class Days:
T H
Class Start Time:
4:30pm
Class End Time:
5:45pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: MA 242, ST 372, ISE 362 and C or better in ISE 135
