Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
5ENM315Multi-Objective Decision Analysis3+0+03512.11.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Industrial Engineering
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course This course is designed to introduce various multi-criteria decision-making techniques and their applications to complex, real-world problems.
The objective is to examine the stages, components, similarities, and differences of multi-criteria decision-making processes and techniques in depth, and to foster the ability to bridge theory and practice by exploring how these concepts are applied to real-world challenges.
Course Content This course provides an overview of Multi-Criteria Decision-Making (MCDM) methods. Students will learn various MCDM techniques, including Decision Trees, AHP, TOPSIS, MOORA, ARAS, and others. They will also learn how to objectively select the best possible alternative—whether in a business context or within the public or private sector—by carefully considering relevant evaluation criteria.
Course Methods and Techniques insite
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Yasemin Şirin Eryoldaş
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Çok Kriterli Karar Verme Yöntemleri, Bahadır Yıldırım, Emrah Önder, Dora Yayıncılık (2015), Multiple Attribute Decision Making : An Introduction – K . Paul Yoon, ChingLai Hwang, SAGE Publications, 1995. Çok Kriterli Karar Verme Teknikleri konusunu kapyasan bütün makale ve diğer yayınlar.
Course Notes Çok Kriterli Karar Verme Yöntemleri, Bahadır Yıldırım, Emrah Önder, Dora Yayıncılık (2015),
Multiple Attribute Decision Making : An Introduction – K . Paul Yoon, ChingLai Hwang, SAGE Publications,
1995.
Çok Kriterli Karar Verme Teknikleri konusunu kapyasan bütün makale ve diğer yayınlar.
Documents .
Assignments .
Exams .

Course Category
Field %100

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 15 3 45
Hours for off-the-c.r.stud 15 3 45
Mid-terms 1 15 15
Final examination 1 15 15
Total Work Load   Number of ECTS Credits 4 120

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
Beceri 
1 Çok kriterli karar verme problemlerinin temel özelliklerini ve karar verme süreçlerini açıklar.
Yetkinlik 
2 Belirsizlik ve risk koşulları altında karar verme problemlerini analiz eder ve karar ağacı yöntemini uygular.
3 AHP, TOPSIS, VIKOR ve benzeri çok kriterli karar verme yöntemlerini kullanarak karar problemlerini çözer.
4 Çok kriterli karar verme alanındaki farklı yöntemleri ve güncel yaklaşımları karşılaştırır ve uygulama sonuçlarını yorumlar.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Karar Vermeye Giriş ve Çok Kriterli Karar Verme
2 İşletmelerde Karar Türleri
3 İşletmelerde Karar Türleri
4 Karar Ağaçları
5 Analitik Hiyerarşi Süreci (AHP) Yöntemi
6 Analitik Ağ Süreci (ANP) Yöntemi
7 Örnek Uygulamalar- Problem Çözümü
8 Vize Haftası
9 TOPSIS Yöntemi
10 MOORA Yöntemi
11 TOPSİS ve MOORA Yöntemleri Örnek Uygulamalar
12 VIKOR Yöntemi
13 COPRAS Yöntemi
14 ARAS ve WASPAS Yöntemi
15 Örnek Uygulamalar- Problem Çözümü

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24
Sk1 3 3 2 2 2
Co2 4 4 3 2 1 2
Co3 5 5 2 4 2 2 3
Co4 4 4 2 3 3 4 2

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant