Computer Aided Statistical Decision Analysis
Business Administration (EP)
Institute of Social Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Computer Aided Statistical Decision Analysis | ISL145 | Elective | Master's degree | 1 | Spring | 6 |
Name of Lecturer(s)
Associate Prof. Dr. Ejder AYÇİN
Learning Outcomes of the Course Unit
1) To have knowledge about decision making process
2) To have knowledge about multiple decision-making process
3) To have knowledge about criteria weighting methods and solve decision problems with computer programs
4) To have knowledge about multi attributive decision-making methods and solve decision problems with computer programs
5) To have knowledge about multi objective decision-making methods and solve decision problems with computer programs
Program Competencies-Learning Outcomes Relation
Bölümün/programın program yeterlilikleri sistemde olmadığından ilişkilendirme işlemi yapılamamıştır.
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
None
Course Contents
Decision making process, Multi criteria decision making, Criteria weighting (subjective methods), Criteria weighting (objective methods), Multi-attribute decision making methods, Multi-objective decision making methods
Weekly Schedule
1) Decision-making process2) Multiple criteria decision-making
3) Analytic Hierarchy Process
4) SWARA Method, Entropy Method
5) CRITIC Method, MACBETH Method
6) BWM, FUCOM, LBWA Methods
7) COPRAS method, Grey Relational Analysis
8) Mid-term exam
9) ELECTRE method, TOPSIS yöntemi
10) PROMETHEE method, MOORA method
11) VIKOR method, WASPAS method
12) EDAS method, MAIRCA method
13) DEMATEL method, Analytic Network Process
14) CODAS Method, ARAS Method
15) Data Envelopment Analysis
16) Final exam
Recommended or Required Reading
1- Çok Kriterli Karar Verme: Bilgisayar Uygulamalı Çözümler, Doç. Dr. Ejder AYÇİN, Nobel Yayınevi
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Drill and Practice
4) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required