OA3302 Simulation-Modeling

Discrete event digital simulation methodology. Monte Carlo techniques, use of simulation languages. Variance reduction techniques, design of simulation experiments and analysis of results.

Prerequisite

OA3103 and OA3301

Lecture Hours

4

Lab Hours

0

Course Learning Outcomes

Through completion of OA3302, the student should be able to:

·       Demonstrate an understanding of when it is appropriate to simulate and when it is not.

·       Demonstrate an understanding of how to create models of a moderately large system using process-based and event-driven simulation.

·       Demonstrate an understanding of how to implement the model leveraging computer software.

·       Demonstrate an understanding of how to analyze simulation output appropriately.

Demonstrate an understanding of how to make informed decisions or recommendations based on a simulation model and derived analysis.