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| EKO3006 | Operation Research - I | 3+0+0 | ECTS:6 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of ECONOMETRICS | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Tuba YAKICI AYAN | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | In addition to operations research-I course, that course stresses network models, transportation models and project planning. The course teaches the students the optimal or heuristic solution methods to those problems |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | learn the basic concepts of operations research. | 1,2,5 | 1, | | LO - 2 : | able to model real life problems. | 1,2,5 | 1, | | LO - 3 : | able to apply various operations research techniques. | 1,2,5 | 1, | | LO - 4 : | able to interpret in detail the findings obtained with operations research techniques. | 1,2,5 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Sensivity analysis in the linear programming, parametric programming, goal programming, integer programming, transportation model: Initial solution methods, optimizing initial solution, sensitivity analysis in the transportation model. Assignment model , Transshipment problemNetwork analysis: the minimum spanning tree problem, the shortest path problem, the maximum flow problem, the minimum cost flow problemProject planning and control with pert-cpm. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Duality Theory and Sensivity Analysis | | | Week 2 | Duality Theory and Sensivity Analysis,orijin of the dual problem | | | Week 3 | Summary of primal-dual relationships | | | Week 4 | Applications | | | Week 5 | Economic interpretation of duality | | | Week 6 | İnterpretation of the dual problem | | | Week 7 | Interpretation of simpleks
| | | Week 8 | Primal- dual relationship | | | Week 9 | Mid-term exam | | | Week 10 | The role of duality theory in sensivity analysis | | | Week 11 | The essence of sensivity analysis | | | Week 12 | Applying sensivity analysis | | | Week 13 | Changes in the cofficients of a nonbasic variable | | | Week 14 | Changes in the coefficients of a basic variable | | | Week 15 | Changes in the (right hand side) | | | Week 16 | End-of-term exam | | | |
| 1 | Öztürk, Ahmet, 2009, yöneylem Araştırması; Ekin Yayınevi, Bursa | | | 2 | Bazaraa,Mokhhtar, Jarvis John J; 2007, Linear Pogramming and network Flows, Washington | | | 3 | Hillier,Frederick S., Lieberman, Gerald J.; 1986, Introduction to Operations Research, Holden-Day, California | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | /04/2024 | 1 | 50 | | End-of-term exam | 16 | /06/2024 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 6 | 14 | 84 | | Arasınav için hazırlık | 11 | 2 | 22 | | Arasınav | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 10 | 3 | 30 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 180 |
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