CISE 5250 - Introduction to System Modeling and Simulation (3)

This course will cover concepts and skills required to design, program, implement, and use computers to solve complex systems analysis problems. The students will learn how to formulate modeling problems, build effective models, analyze data, and use models to evaluate alternative designs and processes that arise in the development of complex systems and products. The students will obtain an overview of modeling techniques used in decision analysis, including Monte Carlo simulation and system dynamics modeling. The techniques include concept graphs, Bayesian nets, Markov models, Petri nets, system dynamics, Bond graphs, cellular automata, and parallel and distributed simulation systems. Students will report on a particular technique and team to implement a chosen system model. Prerequisite(s): Graduate standing. CISE 5210 or Instructor Approval