SIE 321 - Probabilistic Models in Operations Research
Spring Semester 1998
1997-98 Catalog Data:
SIE 321 - Probabilistic Models in Operations Research (3) Probability, Markov chains, Poisson processes, queuing models, reliability models. 3ES. P, 230.
Text Book:
Ross, S. M., Introduction to Probability Models
References:
Feldman, R. M. and C. Valdez-Flores, Applied Probability and Stochastic Processes.
Hillier, F. S. and G. J. Lieberman, Introduction to Operations Research.
Instructor:
J. L. Higle, Associate Professor of Systems and Industrial Engineering
Prerequisites by Topic:
Method for Assessing Student Knowledge of Prerequisite Topics:
On the first day of class, an assignment designed to test facility with prerequisite material will be distributed. Results will be evaluated and the instructor will consult with individual students, if necessary.
Goals:
Overall Educational Goal:
The objective of SIE 321 is to familiarize students with some of the probabilistic models available for the solution of stochastic industrial and engineering problems.
Specific Instructional Goals:
Course Topics:
Class Requirements:
Computer Usage:
Limited to calculation simplification
Laboratory Projects: None
Assessment of Course Goals:
Contribution to professional component:
|
1. |
Mathematics or Basic Science |
0 |
credits |
|
2. |
Engineering Science or Design |
3 |
credits |
|
3. |
General Education Requirements |
0 |
credits |
|
4. |
Major Design Experience |
0 |
credits |
Contribution to program objectives: Goals 1
Prepared by: J. L. Higle Date: April 14, 1998
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