Faculty Of Engıneerıng
Industrıal Engıneerıng (Englısh)
Course Information
OPERATIONS RESEARCH II | |||||
---|---|---|---|---|---|
Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
Hour / Week | |||||
INE301 | Fall | 3 | 2 | 4 | 6 |
Prerequisites and co-requisites | INE200 |
---|---|
Language of instruction | English |
Type | Required |
Level of Course | Bachelor's |
Lecturer | Prof. Dr. Ali KOKANGÜL |
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 | 5 | 70 |
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 | 10 | 10 |
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 | 0 | 0 | 0 |
14 | Final Exercise | 0 | 0 | 0 |
15 | Preparation for Final Exam | 1 | 10 | 10 |
16 | Final Exam | 1 | 3 | 3 |
138 |