SIE 340 -Deterministic Models in Operations Research
Fall Semester 1997
1997-98 Catalog Data:
SIE 340 - Deterministic Models in Operations Research (3) Linear programming models, solution techniques, sensitivity analysis and duality. 3ES, P, 270 and 265 or ECON 210.
Text Book:
Winston, W.L., Introduction to Mathematical Programming: Applications and Algorithms, with software.
References:
Bradley, S.P., A.C. Hax, and T.L. Magnanti, Applied Mathematical Programming
Hillier, F.S. and G.J. Lieberman, Introduction to Operations Research
Taha, H. Operations Research.
Instructor:
J. L. Higle, Associate Professor of Systems and Industrial Engineering
Prerequisites by Topic:
Method for Assessing Student Knowledge of Prerequisite Topics:
A formal review of the prerequisite material, specifically within the context of linear programs, is held after students have developed a working knowledge of linear programming models.
Goals:
Overall Educational Goal
The objective of SIE 340 is the development of a working knowledge of deterministic operations research techniques, primarily linear programming.
Specific Instructional Goals:
Course Topics:
Class Requirements:
Computer Usage:
Students will be introduced to and expected to use, linear programming software such as LINDO
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, 4
Prepared by: J. L. Higle Date: April 14, 1998
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