Graduate Education Institute · Business Administration · Master
Course Objective
The most general decision-making; The decision maker is the process of solving a problem by making a selection, sorting or classification from the available options. This course basically covers how decisions are made and what methods are used. The aim of this course is to examine and teach mathematical, statistical and psychological approaches related to decision making.
Course Content
Decision making, rational and limited rationality, artistic and scientific aspects of decision-making, decision making under uncertainty, decision making under risk, utility theory, game theory, social selection theory.
Required Resources
Paul C. Nutt, David C. Wilson, 2010, Handbook of Decision Making, John Wiley & Sons.
David Lee, Robert Price, Philip Newman, 1999, Decision Making in Organisations, Pearson.
Hwang C. L. and Yoon K., 1981, Multiple Attribute Decision Making: Methods and Applications, Springer-Verlag, s.42, New York.
Martin Peterson, 2009, An Introduction to Decision Theory, Royal Institute of Technology, Stockholm
Itzhak Gilboa, 2010, Making Better Decisions: Decision Theory in Practice, John Wiley & Sons.
Recommended Resources
Paul C. Nutt, David C. Wilson, 2010, Handbook of Decision Making, John Wiley & Sons.
David Lee, Robert Price, Philip Newman, 1999, Decision Making in Organisations, Pearson.
Hwang C. L. and Yoon K., 1981, Multiple Attribute Decision Making: Methods and Applications, Springer-Verlag, s.42, New York.
Martin Peterson, 2009, An Introduction to Decision Theory, Royal Institute of Technology, Stockholm
Itzhak Gilboa, 2010, Making Better Decisions: Decision Theory in Practice, John Wiley & Sons.
Course Learning Outcomes
- Analyze and analyze problems by analytical thinking.
- 2) Problemleri yapılandırıp sınıflandırabilir
- 3) Karar tekniklerini kullanarak işletme sorunlarını çözebilir.
- 4) İşletme sorunlarını fayda ve oyun teorisi bakış açısıyla analiz ve çözümler üretir.
- 5) Karmaşık sistemleri karar verme tekniklerini uygulayacak şekilde modelleyebilir.
Core Area Distribution
Teaching Methods
Assessment & Evaluation
ECTS / Workload
| Activity | Quantity | Duration (h) | Total Workload |
|---|---|---|---|
| Course Duration (Including Exam Week) | 15 | 3 | 45 |
| Out of Class Study Period | 15 | 4 | 60 |
| Midterm | 1 | 20 | 20 |
| Quiz | 0 | 0 | 0 |
| Assignment | 1 | 10 | 10 |
| Practice | 0 | 0 | 0 |
| Final | 1 | 30 | 30 |
Course Schedule
| Week | Subject | Preparation |
|---|---|---|
| 1 | Introduction and Decision Making Theory | Lecturer Notes |
| 2 | A classfication about decision making techniques | Lecturer Notes |
| 3 | Decision Making under Uncertainity | Main ideas of Decision Making |
| 4 | Decision Making Under Risk | Main ideas of Decision Making |
| 5 | Decision Trees and AHP | Lecturer Notes |
| 6 | AHP | Lecturer Notes |
| 7 | Game Theory | Lecturer Notes |
| 8 | Game Theory | Lecturer Notes |
| 9 | Midterm Exam | Lecturer Notes |
| 10 | Goal Programming | Lecturer Notes and Operations Research |
| 11 | Goal Programming | Lecturer Notes and Operations Research |
| 12 | Markov Decision Process | Lecturer Notes |
| 13 | Markov Decision Process Midterm Exam-II | Lecturer Notes |
| 14 | Markov Decision Process Homework Presentations | Lecturer Notes |
| 15 | Data Envelopment Analysis Homework Presentations | Lecturer Notes |
| 16 | Recent Trends on Decision Making Homework Presentations | Lecturer Notes |