e-posta : dilekm@uludag.edu.tr Telefon: 0 224 29 40732 Adres: Uludağ Üniversitesi, İktisadi ve İdari Bilimler Fakültesi, Ekonometri Bölümü,16059, Görükle/Bursa.
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Website:
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Objective of the Course:
The aim of the course is to to provide students with decision-making skills via introduce various decision-making methods used in multi-criteria decision-making problems and apply them to complex real-life problems.
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Contribution of the Course to Professional Development
This course contributes to the design of a multi-criteria decision problem, determining the criteria priorities and solving the problem.
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Learning Outcomes:
1
To be able to define the basic concepts and assumptions related to decision analysis ;
2
To be able to define multi-criteria decision making problems and learn the basic concepts;
3
To be able to detect the factors affecting multi-criteria decision making problems;
4
To be able to collect the data about the multi-criteria decision making problem;
5
To be able to model of multi-criteria decision making problems;
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To be able to determine of criterion weights for multi-criteria problems using appropriate methods;
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To be able to choose the most appropriate multi-criteria decision-making method according to the purpose;
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To be able to interpret the results by solving multi-criteria decision making problems;
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Course Content:
Week
Theoretical
Practical
1
Introduction to decision theory
2
Decision making under uncertainty
3
Basic concepts in decision making problems
4
Modeling of decision making problems and creation of data set
5
Determination of criteria and weighting
6
Analytical Hierarchy Process (AHP)
7
Analytical Network Process (ANP)
8
ARAS Method
9
COPRAS Method
10
Gray Relational Analysis
11
MOORA Method
12
ELECTRE Method
13
TOPSIS Method
14
VIKOR Method
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Textbooks, References and/or Other Materials:
1. Bahadır Fatih Yıldırım, Emrah Önder, (2018), Çok Kriterli Karar Verme Yöntemleri, Dora Yayıncılık. 2. Ejder Ayçin, (2019), Çok Kriterli Karar Verme, Nobel Yayıncılık, Ankara. 3. K . Paul Yoon, ChingLai Hwang, (1995), Multiple Attribute Decision Making: An Introduction –SAGE Publications. 4. Alessio Ishizaka, Philippe Nemery. (2013), Multi-criteria Decision Analysis: Methods and Software, Chichester, West Sussex.
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
0
0
Quiz
0
0
Homeworks, Performances
0
0
Final Exam
1
100
Total
1
100
Contribution of Term (Year) Learning Activities to Success Grade
0
Contribution of Final Exam to Success Grade
100
Total
100
Measurement and Evaluation Techniques Used in the Course
Measurement and evaluation is carried out according to the priciples of Bursa uludag University Associate and Postgraduate Education Regulation.
Information
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
2
28
Practicals/Labs
0
0
0
Self Study and Preparation
14
3
42
Homeworks, Performances
0
15
30
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
0
0
0
Others
0
0
0
Final Exams
1
25
25
Total WorkLoad
125
Total workload/ 30 hr
4,17
ECTS Credit of the Course
4
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
