Computer Simulation of Engineered Systems

Undergraduate

Fingerprints of complex processes can be observed in engineering, service-oriented, and science environments, including, manufacturing, finance, operations research, healthcare, and business. These include queues, networks, inventory models, and stochastic models. Such models can be used for descriptive modeling, predictive modeling, and/or risk management purposes. This course is designed to teach the process of building simulation models, improving their efficiency, implementing and analyzing the results. Topics include introduction to modeling and simulation and their real-world applications, variables and rules of simulations, stochastic processes, Monte Carlo method, reliability of simulation, discrete and continuous events, software packages utilized for modeling and simulation, test cases to evaluate simulations, and visualization of simulation results. Course Format: Lectures, 3 hours per week; labs, 2 hours per week Restrictions: open to BEng majors. Prerequisite(s): STAT 2P83