| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Operations Research I | ENM214 | 4. Semester | 4 + 0 | 4.0 | 6.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Undergraduate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator |
Assist. Prof. Dr. Ahmet CİHAN |
| Instructors |
Ahmet CİHAN |
| Assistants | |
| Goals | Teaching the modeling, decision making, linear programming and solution methods used in Operations Research. |
| Course Content | Graphical method in linear programming, simplex method in linear programming, transportation and assignment problems. |
| Learning Outcomes |
- Learns mathematical modelling - Learns how to solve linear programming problems and how to interpret the solution - Learns the assignment and transportation problems and their solution algorithms |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Introduction of operations research and decision models | |
| 2. Week | Types of decision models, mathematical models, basics of linear models | |
| 3. Week | Graphical method in linear programming | |
| 4. Week | Sensitivity analysis of graphic method in linear programming | |
| 5. Week | Simplex method for linear programming | |
| 6. Week | Sensitivity analysis and solution difficulties in simplex method | |
| 7. Week | Duality, weak and strong duality, complementary slackness theorems for linear programming | |
| 8. Week | Duality, weak and strong duality, complementary slackness theorems for linear programming | |
| 9. Week | Transportation model | |
| 10. Week | Initial solution methods for the transportation model | |
| 11. Week | Solution improvement methods for the transportation model | |
| 12. Week | Assignment problem and its relationship with the transportation model | |
| 13. Week | Hungarian method for assignment problem | |
| 14. Week | Markov chains |
| Operations Research, Zerrin ALADAĞ, Umuttepe Yayınevi |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | Measurement Method |
|---|---|---|---|---|---|
| PY1 | 5 | 5 | 5 | 5 | - |
| PY2 | 1 | 1 | 1 | 1 | - |
| PY3 | 1 | 1 | 1 | 1 | - |
| PY4 | 2 | 2 | 2 | 2 | - |
| PY5 | 5 | 5 | 5 | 5 | - |
| PY6 | 3 | 3 | 3 | 3 | - |
| PY7 | 4 | 4 | 4 | 4 | - |
| PY8 | 3 | 3 | 3 | 3 | - |
| PY9 | 2 | 2 | 2 | 2 | - |
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Course Hours | 14 | 4 | 56 |
| Midterm 1 | 1 | 12 | 12 |
| Homework 1 | 7 | 4 | 28 |
| Final | 1 | 15 | 15 |
| Practice | 14 | 2 | 28 |
| Practice End-Of-Term | 1 | 14 | 14 |
| Total Workload | 153 | ||
| ECTS Credit of the Course | 6.0 | ||
