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 | Elective Courses |
| Course Level | Ph.D. |
| 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 | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| 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 carry out advanced research activities, both individual and as a member of a team | |||||
| 2 | Ability to evaluate research topics and comment with scientific reasoning | |||||
| 3 | Ability to initiate and create new methodologies, implement them on novel research areas and topics | |||||
| 4 | Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions | |||||
| 5 | Ability to apply scientific philosophy on analysis, modelling and design of engineering systems | |||||
| 6 | Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level | |||||
| 7 | Contribute scientific and technological advancements on engineering domain of his/her interest area | |||||
| 8 | Contribute industrial and scientific advancements to improve the society through research activities | |||||
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 | ||