Türkçe English Rapor to Course Content
COURSE SYLLABUS
DECISION ANALYSIS
1 Course Title: DECISION ANALYSIS
2 Course Code: ISL6102
3 Type of Course: Compulsory
4 Level of Course: Third Cycle
5 Year of Study: 1
6 Semester: 2
7 ECTS Credits Allocated: 6
8 Theoretical (hour/week): 3
9 Practice (hour/week) : 0
10 Laboratory (hour/week) : 0
11 Prerequisites:
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Doç. Dr. GÜL EMEL
16 Course Lecturers: Doç.Dr. GÜl GÖKAYA EMEL
17 Contactinformation of the Course Coordinator: Doç.Dr.Gül GÖKAY EMEL
(224) 294 10 55
ggokay@uludag.edu.tr
18 Website:
19 Objective of the Course: To teach designing decision models, utility – risk assesment methods, decision trees and multicriteria decision making methods and to develop the students’ ability to make optimum business decisions fastly by using the knowledge.
20 Contribution of the Course to Professional Development
21 Learning Outcomes:
1 To know decision making processes;
2 To know Utility – Individual’s Utility functions and Risk ;
3 To comprehend Decision Trees and sequencial decision making;
4 To understand Multiobjective and Multicriteria Decision Making methods;
5 To be able to design business problems as a quantitative models;
6 To be able to apply the solution methods on the quantitative decision models;
7 To interpret and use a model during decision making processes;
22 Course Content:
Week Theoretical Practical
1 Decision Theory
2 Utility Theory, Utility Function and Prospect Theory
3 Decision Making Under Uncertainty
4 Decision Making Under Risk
5 Attitude Toward Risk, Individual’s Utility Function and its Relationship with Attitude Toward Risk
6 Game Theory
7 Decision Trees
8 Baye’s Rules and Decision Trees
9 Multi Objective Decision Making and Goal Programming
10 Multicriteria Decision Making and Analytic Hierarchy Process
11 TOPSIS, VIKOR ve ELECTRE Methods
12 Multicriteria Utility Function
13 Effectiveness Measurement and Data Envelopment Analysis
14 Stochastic Process and Markov Chains
23 Textbooks, References and/or Other Materials: Wayne Winston, Operations Research, Aydın Ulucan, Yöneylem Araştırması, H.Tütek/Ş.Gümüşoğlu, Sayısal Yöntemler (Yönetsel Yaklaşım), Mehpare Timor, Analitik Hiyerarşi Prosesi
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 0 0
Quiz 0 0
Homeworks, Performances 2 40
Final Exam 1 60
Total 3 100
Contribution of Term (Year) Learning Activities to Success Grade 40
Contribution of Final Exam to Success Grade 60
Total 100
Measurement and Evaluation Techniques Used in the Course
Information
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 3 42
Practicals/Labs 0 0 0
Self Study and Preparation 14 3 42
Homeworks, Performances 2 40 80
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 0 0 0
Others 0 0 0
Final Exams 1 20 20
Total WorkLoad 184
Total workload/ 30 hr 6,13
ECTS Credit of the Course 6
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11
LO1 5 5 2 2 3 4 5 4 5 5 5
LO2 3 3 2 3 2 2 4 4 5 5 5
LO3 3 3 1 1 2 3 5 5 5 5 5
LO4 4 3 1 3 2 2 4 5 5 5 5
LO5 3 3 1 4 1 5 5 5 5 5 5
LO6 2 3 4 4 2 3 5 5 5 4 5
LO7 4 4 2 5 3 4 4 5 5 5 5
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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