Basic concepts of discrete-event simulation modeling and analysis. Event-scheduling versus process-interaction approach. Random number and random variate generation; inverse transformation and other selected techniques. Input data analysis and goodness of fit tests. Specific computer simulation languages, analysis of simulation output and model validation.
Prerequisite: MATH 230