Modeling and simulation is an important tool for representing, analyzing and solving real-world problems. The application areas include computer game, computer hardware and network simulation, business process, transportation, health care and risk analysis, etc. This course aims at teaching the basic concepts and methods in developing simulation models of discrete event dynamic and stochastic systems. Topics will include stochastic modeling, random number generators, discrete-event simulation approaches, and simulated data analysis.

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