SYS 634 - Discrete-Event Stochastic Simulation

A first course on the theory and practice of discrete-event simulation. Coverage includes Monte Carlo methods and spreadsheet applications, generating random numbers and variates, sampling distributions, the dynamics of discrete-event stochastic systems, simulation logic and computational issues, specifying input probability distributions, output analysis, comparing simulated alternatives, model verification and validation, and simulation optimization. Applications in manufacturing, transportation, communication, computer, health-care, and service systems. (Y)

Prerequisites & Notes
Prerequisite: A first course in probability and statistics.

Credits: 3