| Course Type | Elective Course |
| Course Level | Master's Degree With Thesis |
| Year of Study | - |
| Semester | - |
| ECTS | 10 |
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Understand scientific and mathematical principles and apply them to the practice of multi criteria decision making
- Gain an ability to use computer programs as tools for multi criteria decision making applications
- Gain an ability to apply the basic principles of data analysis, and design of a selection problem
- Gain an ability to apply the design process to multi criteria decision making problems, including the consideration of different technical alternatives while bearing in mind cost, environmental concerns, safety, and other constraints.
- Gain an ability to analyze, measure, test, and evaluate a selection problem
|
| Mode of Delivery | Face to face |
| Prerequisites | No |
| Recommended Optional Programme Components | None |
| Course Description | |
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Science, Management, Scientific management, Decision making |
|
2nd Week |
Decision process, environments, criterions, alternatives, decision models |
|
3rd Week |
Multi criteria linear programming |
|
4th Week |
Concept of Pareto Optimality / Trade off curves |
|
5th Week |
Goal programming |
|
6th Week |
Solution approaches of goal programming |
|
7th Week |
Multi criteria linear programming computer applications |
|
8th Week |
Comprimise programming |
|
9th Week |
Midterm |
|
10th Week |
Analytic hierarchy process (AHP) |
|
11th Week |
Basic principles of AHP, comparisons and setting priorities |
|
12th Week |
Other approaches for discrete alternatives problems: TOPSIS |
|
13th Week |
Decision making in risk and uncertainty environments |
|
14th Week |
Exaamples |
|
| Recommended or Required Reading | Lecture Notes
Zeleny, Milan, Multiple Criteria Decision Making, McGraw-Hill Book Comp., New York, 1982.
Saaty, Thomas, L., Decision Making for Leaders, RWS Publications, Pittsburgh, 2001.
Winston, Wayne L., Operations Research, Duxbury Press, 3rd Edition, 1994
|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Questions/Answers
- Case Study
- Problem Solving
|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
10 |
| Quiz |
3 |
10 |
| Attendance |
1 |
5 |
| Total(%) |
|
55 |
| Contribution of In-term Studies to Overall Grade(%) |
|
55 |
| Contribution of Final Examination to Overall Grade(%) |
|
45 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
1 |
14 |
14 |
| Individual or group work |
14 |
13 |
182 |
| Preparation for Final exam |
1 |
25 |
25 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
1 |
14 |
14 |
| Total Work Load | 306 |
| Total Work Load / 30 (h) | 10.2 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
| Work Placement(s) | No |