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EISL 503 | Course Introduction and Application Information
| Course Name |
Managerial Decision Making Techniques
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
EISL 503
|
Fall/Spring
|
3
|
0
|
3
|
5
|
| Prerequisites |
None
|
|||||
| Course Language |
Turkish
|
|||||
| Course Type |
Elective
|
|||||
| Course Level |
Second Cycle
|
|||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | DiscussionProblem SolvingQ&A | |||||
| National Occupation Classification | - | |||||
| 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 |
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | Learning Outcome |
| 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 | Course notes will be given from the above-mentioned books. |
EVALUATION SYSTEM
| Semester Activities | Number | Weighting | LO 1 | LO 2 | LO 3 | LO 4 | LO 5 |
| 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
|
#
|
PC Sub | 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
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