FACULTY OF BUSINESS
Accounting and Auditing Program
BA 255 | Course Introduction and Application Information
Course Name |
Management Science
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
BA 255
|
Fall/Spring
|
3
|
0
|
3
|
5
|
Prerequisites |
None
|
|||||
Course Language |
English
|
|||||
Course Type |
Elective
|
|||||
Course Level |
First Cycle
|
|||||
Mode of Delivery | - | |||||
Teaching Methods and Techniques of the Course | DiscussionGroup WorkProblem SolvingLecture / 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. |
|
Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Management Skills Courses | ||
Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
Week | Subjects | Related Preparation |
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 |
EVALUATION SYSTEM
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 Exams | ||
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 |
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 |
16
|
2
|
32
|
Field Work |
0
|
||
Quizzes / Studio Critiques |
0
|
||
Portfolio |
0
|
||
Homework / Assignments |
1
|
15
|
15
|
Presentation / Jury |
0
|
||
Project |
0
|
||
Seminar / Workshop |
0
|
||
Oral Exam |
0
|
||
Midterms |
1
|
23
|
23
|
Final Exam |
1
|
25
|
25
|
Total |
143
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
#
|
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. |
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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. |
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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). |
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12 | To be able to speak a second foreign at a medium level of fluency efficiently. |
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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
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