FACULTY OF BUSINESS

Department of Business Administration

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
3
0
3
5

Prerequisites
None
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery Blended
Teaching Methods and Techniques of the Course Discussion
Group Work
Problem Solving
Lecture / 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;
  • Describe basic concepts and techniques of mathematical modelling.
  • Formulate business problems mathematically.
  • Apply linear and integer programming for the solution of business problems.
  • Use computer software to solve complex mathematical models.
  • Analyze decision problems under both certainty and uncertainty.
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.

 



Course Category

Core Courses
X
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 Midterm Exam
9 Network Flow Models Chapter 6 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition)
10 Network Flow Models Chapter 6 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition)
11 Decision-Making Techniques Chapter 12 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition)
12 Decision-Making under Uncertainty Chapter 12 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition)
13 Decision Trees Chapter 12 (Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition)
14 Decision Trees Chapter 12 (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 solve problems with an analytical and holistic viewpoint in the field of business administration.

X
2

To be able to present the findings and solutions to the business problems in written and oral formats.

3

To be able to interpret the application of business and economic concepts, and philosophies at the national and international levels.

4

To be able to use innovative and creative approach for real-life business situations.

X
5

To be able to demonstrate leadership skills in different business situations.

6

To be able to interpret the reflections of new technologies and softwares to business dynamics.   

7

To be able to integrate knowledge gained in the five areas of business administration (marketing, production, management, accounting, and finance) through a strategic perspective.

X
8

To be able to act in accordance with the scientific and ethical values in studies related to business administration.

9

To be able to work efficiently and effectively as a team member.

X
10

To be able to have an ethical perspective and social responsiveness when making and evaluating 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

 


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