SIE537

040807

Methods for designing and analyzing experiments that are conducted using computer simulation models, rather than physical experiments. The course covers topics of design strategies for simulation experiments, metamodels, simulation-based optimization, sensitivity analysis, model validation, uncertainty quantification. This course focuses mainly on deterministic computer simulations commonly used in engineering design, analysis and optimization, but stochastic simulations (e.g., for queueing and inventory systems) will also be discussed.

GRD - Regular Grades A, B, C, D, E

Graduate

SIE 530 or equivalent course in Statistics