| Course Type | Elective Course |
|---|
| Course Level | Doctorate Of Science |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 15 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Gain knowledge about scientific decision making process.
- Get the qualifications necessary to choose the most suitable quantitative method that will enable him/her to make the best decision when encountered with a specific managerial decision problem.
- Gain knowledge about qualitative and group decision techniques besides the quantitative methods.
- Develop analytical skills in structuring and analysis of business decision problems.
- Gain knowledge about decision traps.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | MAND635 ORGANIZATION AND MANAGEMENT THEORIES |
|---|
| Course Description | This lesson explains how managers use quantitative methods to make decisions. In scope of this course students will learn giving optimal decision by evaluating scientific data. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Decision Making, Types of Decisions and the Decision Process |
|
2nd Week |
Quantitative And Qualitative Decision Analysis |
|
3rd Week |
Techniques for Decision Making Under Conditions of Certainty |
|
4th Week |
Techniques for Decision Making Under Conditions of Uncertainty |
|
5th Week |
Techniques for Decision Making Under Conditions of Risk: Expected Value, Expected Opportunity Loss, Expected Value of Perfect Information |
|
6th Week |
Techniques for Decision Making Under Conditions of Risk: Decision Trees |
|
7th Week |
Decision Trees: Bayes Teorem, Expected Value of Sample Information |
|
8th Week |
Midterm |
|
9th Week |
Utility Theory |
|
10th Week |
Decision Support Systems |
|
11th Week |
Multicriteria Decision Making: Characteristics and Techniques: Goal Programming, TOPSIS |
|
12th Week |
Multicriteria Decision Making: Characteristics and Techniques: Analytical Hierarchy Process, Analytical Network Process |
|
13th Week |
Applying Simulation to Decision Problems |
|
14th Week |
Group Decisions and Group Decision Methods |
|
| Recommended or Required Reading | Anderson, D. R., D. J. Sweeney ve T. W. Williams. 2004. An Introduction to Management Science: Quantitative Approaches to Decision Making. 11th ed., South Western College Publishing.
Goodwin, P. and G. Wright. 2009. Decision Analysis for Management Judgement, 4th edition, Wiley
|
|---|
| Planned Learning Activities and Teaching Methods |
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Quiz |
1 |
20 |
| Total(%) |
|
50 |
| Contribution of In-term Studies to Overall Grade(%) |
|
50 |
| Contribution of Final Examination to Overall Grade(%) |
|
50 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
13 |
8 |
104 |
| Preparation for Final exam |
1 |
72 |
72 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
36 |
36 |
| Laboratory (including preparation) |
1 |
36 |
36 |
| Final exam |
1 |
3 |
3 |
| Homework |
4 |
3 |
12 |
| Total Work Load | 307 |
| Total Work Load / 30 (h) | 10.23 |
| ECTS Credit of the Course | 15 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
