Course Description
Basic discrete event simulation methodology: random number generators, generating random objects, design of discrete event simulation, validation, analysis of simulation output, variance reduction techniques, Markov chain Monte Carlo, simulation optimization. The course has computer assignments and projects. This course is a sequel to ISE/OR 760 Stochastic Models which serves as a prerequisite. This is NOT a software based course! Students who are looking for a class on simulation software, such as Arena and Simio, are recommended to take ISE 562 (master-level simulation class).
Spring 21
Hybrid course 1/2 attendance
FALL 2020
Instructors
Classes Start:
August 10, 2020
Classes End:
November 17, 2020
Location:
00218 111 Lampe Drive
Class Days:
TH
Class Start Time:
1:30pm
Class End Time:
2:45pm
Class Type:
Lecture
Credits:
3.00
Delivery Method:
In Person Hybrid
Restrictions:
None
