Simulation Modeling and Analysis

Catalog description

Overview of the uses of simulation and computation for analyzing stochastic models and interpreting real phenomena. Topics covered may include discrete-event simulation, Monte Carlo simulation, generating discrete and continuous random variates, the statistical analysis of simulated data, variance reduction techniques, and simulation optimization. Applications will be drawn from areas such as manufacturing, supply chain management and finance.