ITEC 410: Modeling and Simulation
Prerequisites: ITEC 320 and STAT 301
Credit Hours: (3)
An introduction to mathematical modeling and the simulation of models using high-level
programming languages.
Detailed Description of Content of Course
Topics include:
1. Describing a system 鈥� taxonomy
2. Model development and validation
3. Basic probability theory
4. Simulation using Monte Carlo techniques
5. Discrete event simulation
6. Analysis of simulation inputs
7. Analysis of simulations outputs
8. Variance reduction techniques
9. Simulation software
10. Simulation validation and verification
Detailed Description of Conduct of Course
By developing several simulation projects, students will see how models and computer
program implementations of those models are developed, validated and verified. Each
project will focus on a different way in which a model and/or its implementation as
a computer program can be accomplished. These projects may be completed either individually
or in groups.
Goals and Objectives of the Course
Students who complete the course will be able to:
1. Demonstrate how to use a simulation language.
2. Describe mathematical modeling.
3. Demonstrate a stochastic simulation.
4. Describe model validation
Assessment Measures
Several projects in addition to at least one in-class exam and the final exam will
serve to evaluate the students.
Other Course Information
None
Review and Approval
October 1, 1991 Updated for 1991-92 Ivan B. Liss, Chair
May 12, 1994 Updated for 1994-95 Edward G. Okie, Chair
Sept. 25, 2001 Updated John P. Helm, Chair
Revised: June 1, 2012