Faculty Of Engıneerıng
Industrıal Engıneerıng (Englısh)
Course Information
| OPERATIONS RESEARCH II | |||||
|---|---|---|---|---|---|
| Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
| Hour / Week | |||||
| INE305 | Fall | 2 | 2 | 3 | 6 |
| Prerequisites and co-requisites | INE200 |
|---|---|
| Language of instruction | English |
| Type | Required |
| Level of Course | Bachelor's |
| Lecturer | Asst. Prof. Melik KOYUNCU |
| Mode of Delivery | Face to Face |
| Suggested Subject | NONE |
| Professional practise ( internship ) | None |
| Objectives of the Course | Understanding special forms of linear programming models. Use and modification of simplex algorithm for solving these problems. Applications in real life. |
| Contents of the Course | Transportation problem and its variants. Network models. Integer programming. Game theory. |
Learning Outcomes of Course
| # | Learning Outcomes |
|---|---|
| 1 | Student shall gain knowledge on optimisation concept |
| 2 | Student will be able to model the real life problems |
| 3 | Student will be able to model inventory, network and queuing models. |
| 4 |
Course Syllabus
| # | Subjects | Teaching Methods and Technics |
|---|---|---|
| 1 | Review of Linear Programming | |
| 2 | Review of Linear Programming | |
| 3 | Transportation, assignment and transshipment problems | |
| 4 | Transportation, assignment and transshipment problems | |
| 5 | Transportation, assignment and transshipment problems | |
| 6 | Transportation, assignment and transshipment problems | |
| 7 | Midterm | |
| 8 | Transportation, assignment and transshipment problems | |
| 9 | Network Models | |
| 10 | Network Models | |
| 11 | Integer Programming | |
| 12 | Integer Programming | |
| 13 | Game Theory | |
| 14 | Game Theory | |
| 15 | Game Theory | |
| 16 | Final Exam |
Course Syllabus
| # | Material / Resources | Information About Resources | Reference / Recommended Resources |
|---|---|---|---|
| 1 |
Method of Assessment
| # | Weight | Work Type | Work Title |
|---|---|---|---|
| 1 | 40% | Mid-Term Exam | Mid-term Exam |
| 2 | 60% | Final Exam | Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
| # | Learning Outcomes | Program Outcomes | Method of Assessment |
|---|---|---|---|
| 1 | Student shall gain knowledge on optimisation concept | 1 | |
| 2 | Student will be able to model the real life problems | 2 | |
| 3 | Student will be able to model inventory, network and queuing models. | 3 | |
| 4 |
Work Load Details
| # | Type of Work | Quantity | Time (Hour) | Work Load |
|---|---|---|---|---|
| 1 | Course Duration | 14 | 4 | 56 |
| 2 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 3 | 42 |
| 3 | Presentation and Seminar Preparation | 0 | 0 | 0 |
| 4 | Web Research, Library and Archival Work | 0 | 0 | 0 |
| 5 | Document/Information Listing | 0 | 0 | 0 |
| 6 | Workshop | 0 | 0 | 0 |
| 7 | Preparation for Midterm Exam | 1 | 12 | 12 |
| 8 | Midterm Exam | 1 | 3 | 3 |
| 9 | Quiz | 0 | 0 | 0 |
| 10 | Homework | 0 | 0 | 0 |
| 11 | Midterm Project | 0 | 0 | 0 |
| 12 | Midterm Exercise | 0 | 0 | 0 |
| 13 | Final Project | 1 | 5 | 5 |
| 14 | Final Exercise | 0 | 0 | 0 |
| 15 | Preparation for Final Exam | 1 | 15 | 15 |
| 16 | Final Exam | 1 | 3 | 3 |
| 136 | ||||