Course Name | Management Science |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
BA 250 | Fall/Spring | 3 | 0 | 3 | 6 |
Prerequisites | None | |||||
Course Language | English | |||||
Course Type | Elective | |||||
Course Level | First Cycle | |||||
Mode of Delivery | - | |||||
Teaching Methods and Techniques of the Course | DiscussionGroup WorkProblem SolvingLecturing / Presentation | |||||
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. |
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. Solution techniques for some special problems are discussed. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Break-even Point Analysis | Chapter 1 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
2 | Linear Programming: Modelling and Graphical Solution | Chapter 2 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
3 | Linear Programming: Modelling and Graphical Solution | Chapter 2 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
4 | Linear Programming: Sensitivity Analysis | Chapter 3 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
5 | Modelling Examples in Business Field | Chapter 4 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
6 | Modelling Examples in Business Field | Chapter 4 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
7 | Integer Linear Programming Models | Chapter 5 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
8 | Integer Linear Programming Models | Chapter 5 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
9 | Midterm Exam | |
10 | Network Flow Models | Chapter 6 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
11 | Network Flow Models | Chapter 6 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
12 | Project Management | Chapter 8 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
13 | Project Management | Chapter 8 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
14 | Nonlinear Programming | Chapter 10 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition) |
15 | Review of the Semester | |
16 | Final Exam |
Course Notes/Textbooks | Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition, Prentice-Hall, New Jersey, ISBN-13: 978-0132752008 |
Suggested Readings/Materials | Operations Research Applications and Algorithms, Wayne L. Winston, Fourth Edition, Thomson Books, ISBN-13: 978-0534380588 |
Semester Activities | Number | Weigthing |
Participation | 1 | 5 |
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | 1 | 20 |
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 35 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 3 | 60 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 40 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
Study Hours Out of Class | 16 | 2 | 32 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | 1 | 20 | |
Presentation / Jury | |||
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 31 | |
Final Exams | 1 | 40 | |
Total | 171 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To be able to acquire theoretical and practical knowledge and skills in the area. | |||||
2 | To be able to approach problems with an analytical and holistic viewpoint. | X | ||||
3 | To be able to gain knowledge about both national and international accounting and auditing standards. | |||||
4 | To be able to communicate the findings and solutions to the accounting and auditing problems in written and oral formats. | X | ||||
5 | To be able to critically evaluate the performance of accounting and other related management information systems, and organizations. | |||||
6 | To be able to develop innovative and creative approach to real-life business issues. | X | ||||
7 | To be able to integrate knowledge gained in the main areas of accounting and auditing through a strategic perspective. | |||||
8 | To be able to act in accordance with the scientific and ethical values in studies related to accounting and auditing. | |||||
9 | To be able to demonstrate both leadership and team-work skills through being an efficient and effective team member. | |||||
10 | To be able to have an ethical perspective and social responsiveness when evaluating and making business decisions. | |||||
11 | To be able to collect data in the area of business administration and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1). | |||||
12 | To be able to speak a second foreign at a medium level of fluency efficiently. | |||||
13 | To be able to relate the knowledge accumulated throughout the human history to their field of expertise. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest