ECTS - Multi-criteria Decision Making
Multi-criteria Decision Making (IE515) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Multi-criteria Decision Making | IE515 | Area Elective | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Technical Elective Courses |
| Course Level | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Problem Solving, Project Design/Management. |
| Course Lecturer(s) |
|
| Course Objectives | In this course, the students will be learning fundamental concepts of multi criteria decision making to be able to apply for their practical problems. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | The concept of multiple criteria decision making (MCDM), multiple criteria and multiple purpose models, decision space, objective space, convex sets, functions and test for convexity, decision analysis and utility theory, complex systems, value of information, the concept of utility theory, formulation of the general multiple criteria programming a |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction: Basic concepts, system approach | |
| 2 | Decision making under uncertainty&risk | |
| 3 | Decision hierarchy, decision network, decision trees | |
| 4 | Basic methods | |
| 5 | Interaction methods | |
| 6 | Outranking methods | |
| 7 | Outranking methods (continued) | |
| 8 | Midterm exam | |
| 9 | Value based methods | |
| 10 | Value based methods (continued) | |
| 11 | Value based methods (continued) | |
| 12 | Value based methods (continued) | |
| 13 | Students' projects presentations | |
| 14 | Students' projects presentations | |
| 15 | Students' projects presentations | |
| 16 | Students' projects presentations |
Sources
| Course Book | 1. Bazerman, M.H. 2002. Judgment in Managerial Decision Making. 5.Ed., John Wiley & Sons, New York. |
|---|
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | 1 | 30 |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 30 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 3 | 100 |
| Percentage of Semester Work | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | |
| Supportive Courses | X |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Ability to apply the acquired knowledge in mathematics, science and engineering | X | ||||
| 2 | Ability to identify, formulate and solve complex engineering problems | X | ||||
| 3 | Ability to accomplish the integration of systems | X | ||||
| 4 | Ability to design, develop, implement and improve complex systems, components, or processes | X | ||||
| 5 | Ability to select/develop and use suitable modern engineering techniques and tools | X | ||||
| 6 | Ability to design/conduct experiments and collect/analyze/interpret data | X | ||||
| 7 | Ability to function independently and in teams | X | ||||
| 8 | Ability to make use of oral and written communication skills effectively | X | ||||
| 9 | Ability to recognize the need for and engage in life-long learning | X | ||||
| 10 | Ability to understand and exercise professional and ethical responsibility | X | ||||
| 11 | Ability to understand the impact of engineering solutions | X | ||||
| 12 | Ability to have knowledge of contemporary issues | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 1 | 16 |
| Presentation/Seminar Prepration | |||
| Project | 1 | 4 | 4 |
| Report | |||
| Homework Assignments | 4 | 4 | 16 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 16 | 16 |
| Prepration of Final Exams/Final Jury | 1 | 25 | 25 |
| Total Workload | 125 | ||