ESMA 633 System Simulation: Modelling and Analysis
This course provides an advanced and in-depth treatment of discrete-event simulation modeling and analysis techniques. Topics include: modeling large-scale and complex systems; queuing theory; pseudo-random number and random variate generation, input modeling (data collection, analysis, and fitting distribution), output analysis (initial bias and termination bias, variance reduction techniques), sensitivity analysis, design of experiments, comparison of alternative systems.