OPERATIONS RESEARCH I
- Course
- INDE321 - OPERATIONS RESEARCH I
- Department
- Engineering Management - English - Master
- Course Type
- Scientific Preparation
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 0
- T+P+L
- 3 + 0 + 2
- Course Coordinator(s)
- Dr. Behzad SANAEI
- Prerequisite
- -
- Keywords
- -
Course Description
OPERATIONS RESEARCH I
OPERATIONS RESEARCH I
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm Exam | Midterm | 35 |
| Final Exam | Final | 40 |
| Quiz 01 | Quiz | 7 |
| Quiz 02 | Quiz | 8 |
| Lab work 01 | Assignment | 5 |
| Labwork 02 | Assignment | 5 |
| Total | 100 | |
Course outcomes
- 01 Formulate a real-world problem as a mathematical programming model. Implement and solve the model in EXCEL and LINDO.
- 02 Understand the theoretical workings of the simplex method for linear programming and perform iterations of it by hand
- 03 Perform sensitivity analysis to determine the direction and magnitude of change of a model’s optimal solution as the data change.
- 04 Solve specialized linear programming problems like the transportation and assignment problems.Solve network models like the shortest path, minimum spanning tree, and maximum flow problems.
- 05 nderstand the applications of, basic methods for, and challenges in integer programming
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Course Orientation and OR Applications |
| Week 2 | LP Modeling and Graphical Solution |
| Week 3 | LP Standard Form and Simplex Basics |
| Week 4 | Simplex Solution and Interpretation |
| Week 5 | Big-M and Two-Phase Methods |
| Week 6 | Big-M and Two-Phase Methods |
| Week 7 | Sensitivity Analysis |
| Week 8 | MIDTERM WEEK |
| Week 9 | MIDTERM WEEK |
| Week 10 | Duality |
| Week 11 | Transportation Models |
| Week 12 | Assignment Models |
| Week 13 | Network Models: Shortest Path and Maximum Flow |
| Week 14 | Integer and Binary Programming |
| Week 15 | Integrated Applications |
Reference Books & Course Materials
- 01 Wayne L. Winston, Operations Research: Applications and Algorithms, 4th ed., Duxbury Press, 2004. ISBN: 0-534-42362-0
- 02 Taha, Hamdy A., Operations Research, 6th ed., Prentice Hall, 1997.
- 03 Hillier, F.S. and Lieberman, G.J., Introduction to Operations Research, 7th ed., McGraw Hill, 2001
Learning Outcomes
- L01 Formulate a real-world problem as a mathematical programming model. Implement and solve the model in EXCEL and LINDO.
- L02 Understand the theoretical workings of the simplex method for linear programming and perform iterations of it by hand
- L03 Perform sensitivity analysis to determine the direction and magnitude of change of a model’s optimal solution as the data change.
- L04 Solve specialized linear programming problems like the transportation and assignment problems.Solve network models like the shortest path, minimum spanning tree, and maximum flow problems.
- L05 nderstand the applications of, basic methods for, and challenges in integer programming
Program Outcomes
No program outcomes have been defined.
Po-Lo Matrix
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