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(The following description is a tentative outline to be used for the Fall 2002 Semester. There will likely be differences in the instructor, textbook, and/or outline the next time the course is taught.)
Instructor : Richard Feldman
Text: Averilll M. Law and W. Devid Kelton, Simulation Modeling and Analysis (3rd Edition).
Reference: C. D. Pegden, R. E. Shannon, R. P. Sadowski (1995). Introduction to Simulation Using SIMAN (2nd Edition).
Description: There are three course objectives:
(1) understand the fundamental methodologies of discrete event (process-oriented) simulation modeling,
(2) understand the key statistical issues involved in simulation data preparation and the analysis of simulation output, and
(3) become familiar with a commercial simulation modeling language (ARENA).Prerequisites: STAT 211, 212 or STAT 601 or a calculus-based probability and statistics course, ability to use C or C++, and proficiency with Excel.
Course Topics
- Review of Probability and Statistics
- Random Variate Generation
- Structure of a Simulation Language
- Development of a Simple Simulation Model Using C or C++
- Statistical Analyses including Correlations
- Simulation with SIMAN/ARENA
- More Statistical Analysis of Output
- Used of Excel and VBA with ARENA
- Statistical Analysis of Input Data
