Operations Analytics: Stochastic

3.00 credit hours

This course covers modeling and analysis of discrete-event dynamical systems using computer simulations. Topics include an introduction to simulation as a modeling tool, with emphasis on understanding the structure of a simulation model and how to build such models, model validation, random number generation, simulation languages, statistical simulation output analysis, design of simulation experiments and selected current research topics.

No Syllabus Available

Daniel Mautz (Spring 2017)
NOTE: Instructors and offerings vary by semester. Visit the Schedule of Classes for the most up-to-date information.