Course Syllabus

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:

  1. Systems of linear equations
  2. Matrix methods for systems of linear equations

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:

  1. Be able to develop an appropriate linear programming model from a verbal description of a problem.
  2. Choose an appropriate solution technique.
  3. Be able to extract relevant information from the model and solution.

Course Topics:

  1. Introduction (1 class)
  2. Model Formulation (8 classes)
  3. Linear Algebra Review/Definitions (3 classes)
  4. Solving Linear Programs (graphical illustration, simplex method, special cases) (12 classes)
  5. Sensitivity Analysis (5 classes)
  6. Duality (5 classes)
  7. Special Topics (e.g., Transportation problems, network problems, integer programming...) (4 classes)

Class Requirements:

  1. Homework will be assigned weekly (approximately). Each assignment will be due before class one week after it is assigned
  2. Three midterm examinations
  3. Final examination
  4. Three lecture sections per week

Computer Usage:

Students will be introduced to and expected to use, linear programming software such as LINDO

Laboratory Projects: None

Assessment of Course Goals:

  1. Homework: 15%.
  2. First Mid-term: 20%
  3. Second Mid-term: 20%
  4. Third Mid-term: 20%
  5. Final Exam: 25%

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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October 30, 1998
Systems and Industrial Engineering

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