| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | EM4102 | Dynamic Programming | Elective | 4 | 8 | 5 |
|
| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| Students in solving of dynamic programming technique optimization probe use and take advantage of it to teach |
| Name of Lecturer(s) |
| Doç. Dr. Erdemalp Özden |
| Learning Outcomes |
| 1 | The ability to recognize WINS dynamic programming | | 2 | Shortest path problem of recognition and decoding skills win | | 3 | Solves the problem of inventory and | | 4 | Solves the problem of resource distribution and | | 5 | backpack solves the problem and | | 6 | Solves the problem of equipment renewal and | | 7 | specific problems does network representation | | 8 | Wagner-wins the recognition and decoding skills Within algorithm | | 9 | Probabilistic dynamic programming problem and solves | | 10 | Probabilistic inventory model recognizes and solves your problems |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Network problems, Inventory problems, resource allocation problem, knapsack problem, equipment renewal, custom instance of the monkey impressions, Wagner-Within algorithm, Silver-Meal sezgiseli, Probabilistic dynamic programming, Probabilistic inventory model, dynamic programming to solve problems of the use of Excel and WinQSP |
| Weekly Detailed Course Contents |
|
| 1 | Introduction | | | | 2 | Network problems | | | | 3 | Shortest path problem | | | | 4 | Inventory problem | | | | 5 | Resource allocation problem | | | | 6 | Generalized resource allocation problem | | | | 7 | Knapsack problem | | | | 8 | Midterm Exam | | | | 9 | Equipment renewal problem | | | | 10 | A special example of the monkey impressions | | | | 11 | Wagner-Within algorithm | | | | 12 | Silver-Meal sezgiseli | | | | 13 | Probabilistic dynamic programming | | | | 14 | Probabilistic inventory model | | | | 15 | Dynamic programming to solve problems of the use of Excel and WinQSP | | |
|
| Recommended or Required Reading |
| Winston W.L. Operations Research: Applications and Algorithms, Canada, Brooks/Cole |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 3 | 42 |
| Self Study | 14 | 3 | 42 |
| Individual Study for Mid term Examination | 6 | 3 | 18 |
| Individual Study for Final Examination | 6 | 3 | 18 |
| Report | 2 | 4 | 8 |
| Homework | 2 | 5 | 10 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 3 | 4 | 4 | 4 | 4 | 2 | 5 | 3 | | LO2 | 3 | 4 | 5 | 3 | 3 | 3 | 1 | 4 | | LO3 | 4 | 5 | 2 | 4 | 4 | 2 | 3 | 1 | | LO4 | 4 | 3 | 3 | 4 | 3 | 3 | 3 | 1 | | LO5 | 3 | 3 | 4 | 3 | 4 | 3 | 3 | 1 | | LO6 | 4 | 4 | 2 | 4 | 4 | 1 | 2 | 1 | | LO7 | 3 | 5 | 4 | 3 | 2 | 3 | 4 | 3 | | LO8 | 4 | 3 | 3 | 4 | 3 | 3 | 4 | 3 | | LO9 | 4 | 3 | 4 | 4 | 3 | 4 | 2 | 3 | | LO10 | 4 | 4 | 3 | 3 | 4 | 2 | 5 | 5 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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