Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
1BA015Multi-Criteria Decision Making 3+0+037,5

Course Details
Language of Instruction Turkish
Level of Course Unit Doctorate
Department / Program Business Administration
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The objective of this course is for students to learn and apply various multi-criteria decision making methods that are most commonly encountered in the literature.
Course Content Bu dersin içeriği, karar teorisine giriş, çok kriterli karar vermede kullanılan çeşitli ağırlıklandırma yöntemleri ve sıklıkla kullanılan çok kriterli karar verme yöntemleri konularından oluşmaktadır.
Course Methods and Techniques Formal öğretmen anlatımı ve analiz
Prerequisites and co-requisities None
Course Coordinator Associate Prof.Dr. Mehmet Hakan Özdemir (yerine)
Name of Lecturers None
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Tzeng, G. H., Huang, J.J., Multiple Attribute Decision Making Methods and Applications, CRC Press, 2011.
Alinezhad A., Khalili, J. New Methods and Applications in Multiple Attribute Decision Making (MADM), Springer, 2019.
Özbek, A., Çok Kriterli Karar Verme Yöntemleri ve Excel ile Problem Çözümü Kavram-Teori-Uygulama, Seçkin Yayıncılık, 2017.

Course Category
Mathematics and Basic Sciences %10
Social Sciences %30
Field %60

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Mid-terms 1 % 40
Final examination 1 % 60
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 13 182
Mid-terms 1 1 1
Final examination 1 1 1
Total Work Load   Number of ECTS Credits 7,53333333333333 226

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 To be able to understand the steps of the most commonly used decision making methods
2 To be able to apply these methods
3 To be able to form a basis to comprehend the methods used in recent articles


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to decision theory
2 General information about multi-criteria decision making methods and classification of these methods, overview of various criteria weight calculation methods
3 Analytical Hierarchy Process
4 Analytical Network Process
5 VIKOR
6 TOPSIS
7 ELECTRE
8 Midterm Exam, PROMETHEE
9 MOORA and MULTIMOORA
10 ARAS, COPRAS
11 OCRA
12 Gray relational analysis
13 EATWIOS
14 Data Envelopment Analysis
15 Final Exam


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 5 4 5 5 5 4 4 5
C1 5 4 5 5 5 4 4 5
C2 5 4 5 5 5 4 4 5
C3 5 4 5 5 5 4 4 5

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https://obs.tau.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=168536&curProgID=6186&lang=en