COMPUTER ENGINEERING (ENGLISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
INE5261 Multi Attribute Decision Making Fall
Spring
3 0 3 12
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi JBİD ANİ ARSENYAN ÜŞENMEZ
Course Lecturer(s): Dr. Öğr. Üyesi YÜCEL BATU SALMAN
Course Objectives: This course aims to build up the multi-attribute decision making concept by defining the decision making problem with its various constituents.

Learning Outputs

The students who have succeeded in this course;
Understand the nature of decision making
Structure and model multi-attribute decision making problems
Select the most appropriate method to solve multi-attribute problems
Integrate the preferences of a group of decision makers
Solve real world problems having conflicting criteria

Course Content

The course includes various multi-attribute decision making tools and techniques such as elementary methods, value based methods, and outranking methods in order to help industrial engineering students to handle real-life problems with a scientific approach.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Decision analysis
2) Utility theory
3) Multi attribute decision making
4) Structuring the problem
5) Elementary methods
7) Value-based methods
8) Midterm
9) Outranking methods
10) Group Decision Making
11) Fuzzy Approach to MADM
12) Applications
13) Project presentations
14) Project presentations

Sources

Course Notes: Multiple Attribute Decision Making: An Introduction K . P. Yoon, and C.-L.Hwang 1995 978-0803954861
References: Multiple Criteria Decision Analysis: An Integrated Approach V. Belton, and T.J. Stewart 2003 0-7923-7505-X The analytic hierarchy process: planning, priority setting, resource allocation T.L. Saaty 1990 978-0070543713 Decisions with Multiple Objectives: Preferences and Value Tradeoffs R.L. Keeney, and H. Raiffa 1993 978-0521438834 The Analytic Network Process: Decision Making With Dependence and Feedback T.L. Saaty 1996 978-0962031793

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project 1 % 35
Seminar % 0
Midterms 1 % 25
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 25
PERCENTAGE OF FINAL WORK % 75
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 12 6 72
Presentations / Seminar 1 15 15
Project 1 60 60
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 2 2
Paper Submission 0 0 0
Jury 0 0 0
Final 1 2 2
Total Workload 193

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Ability to identify and apply advanced concepts in computer engineering
2) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams.
3) Have theoretical and practical basis in computer engineering and science to be able to conduct related academic research independently.
4) Ability to apply advanced mathematical and engineering knowledge on real problems.
5) Ability to search the scientific literature related to a research project and find the relationships with own research
6) Ability to interprete scientific research and use the findings
7) Ability to work efficiently in interdisciplinary research teams
8) Ability to attain scientific knowledge
9) Ability find ways to improve upon current knowledge
10) Ability to present research findings in seminars and conferences
11) Ability to write research progress reports by referring to published theses and papers.
12) Ability to show the responsibility of professional and ethical behavior