GRADUATE SCHOOL
Master of Business Administration - Distance Learning (e-MBA) (English)
EBA 503 | Course Introduction and Application Information
| Course Name |
Managerial Decision Making Techniques
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
EBA 503
|
Fall/Spring
|
3
|
0
|
3
|
5
|
| Prerequisites |
None
|
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| Course Language |
English
|
|||||
| Course Type |
Elective
|
|||||
| Course Level |
Second Cycle
|
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| Mode of Delivery | Online | |||||
| Teaching Methods and Techniques of the Course | DiscussionProblem SolvingQ&A | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | ||||||
| Course Objectives | This course aims at teaching a variety of management science methods useful in solving management problems in many areas such as Marketing, Finance, and Production so that the students can gain a quantitative foundation in basic mathematical modeling and problem solving that will be helpful in the higher level courses such as Operations Management and Production Planning and Inventory Control. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | The main emphasis of the course is how to model a managerial problem using mathematical modeling (Linear programming and Integer programming). Many examples from different application areas are given. |
|
|
Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Introduction to Management Science | Course Notes |
| 2 | Decision Analysis | Course Notes |
| 3 | Decision Analysis | Course Notes |
| 4 | Decision Analysis | Course Notes |
| 5 | Linear Programming: Model Formulation | Course Notes |
| 6 | Linear Programming: Computer Solution and Sensitivity Analysis | Course Notes |
| 7 | Linear Programming Applications in Business Decisions | Course Notes |
| 8 | Linear Programming Applications in Business Decisions | Course Notes |
| 9 | Integer Linear Programming Models | Course Notes |
| 10 | Integer Linear Programming Models | Course Notes |
| 11 | Transportation, Transshipment and Assignment Problems | Course Notes |
| 12 | Transportation, Transshipment and Assignment Problems | Course Notes |
| 13 | Project Management | Course Notes |
| 14 | Project Management | Course Notes |
| 15 | Review of the Semester | |
| 16 | Final Exam |
| Course Notes/Textbooks | Sayısal Yöntemler, Yönetsel Yaklaşım, Tütek. H., Gümüşoğlu, Ş., 2012, Beta Yayınları ISBN: 6053335344 Introduction to Management Science. Bernard W. Taylor III, 12th Edition, 2016, Prentice-Hall, New Jersey ISBN-13: 978-0133778847 Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016. ISBN-13: 978-1111823610 |
| Suggested Readings/Materials | Power points of above text books are used. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
1
|
20
|
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm | ||
| Final Exam |
1
|
80
|
| Total |
| Weighting of Semester Activities on the Final Grade |
1
|
20
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
80
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
15
|
3
|
45
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
5
|
6
|
30
|
| Presentation / Jury |
0
|
||
| Project |
0
|
||
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
0
|
||
| Final Exam |
1
|
19
|
19
|
| Total |
142
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To be able to demonstrate general business knowledge and skills. |
X | ||||
| 2 | To be able to demonstrate business communication skills effectively. |
|||||
| 3 | To be able to deliver creative and innovative solutions to the business-related problems. |
X | ||||
| 4 | To be able to evaluate the performance of business organizations through a holistic approach. |
X | ||||
| 5 | To be able to take a critical perspective in evaluating business knowledge. |
|||||
| 6 | To be able to exhibit an ethical and socially responsible behavior in conducting research and making business decisions. |
|||||
| 7 | To be able to solve business related problems using analytical and technological tools and techniques. |
X | ||||
| 8 | To develop a solution to business problems through systematic research. |
X | ||||
| 9 | To be able to use a foreign language to follow information about the field of business and participate in discussions in academic environments. |
|||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest