Introduction to the design and analysis of discrete probabilistic systems using simulation. Emphasizes model construction and a simulation language. Prerequisites: Programming
ability, introduction to probability or statistics.
Goals:
To (1) learn to build and analyze various types of simulation models; (2) learn to use ProModel software; (3) gain an understanding of when to use simulation as a
problem-solving tool; and (4) learn to design a simulation experiment and to analyze the results of the simulation runs.
