COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Applied Management Science
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
BA 617
Fall/Spring
3
0
3
7.5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives Management in the current competitive and complex business environment calls for excellence in decision making. This course aims at teaching the applications of mathematical modeling and analysis to management problems. The subject matter includes linear programming, integer programming, sensitivity analysis, goal programming and multiple objective optimization.
Learning Outcomes The students who succeeded in this course;
  • learn the basic and advanced principles of applied mathematical modeling for managerial decision-making and will be able to use relevant methods.
  • sharpen their ability to structure and model complex real-life problems and to perform logical analyse mathematical modelling.
Course Description This course is based on operations research in management decision making, and the mathematical methods will be taught.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to Mathematical Modellling
2 Linear Programming
3 Sensitivity Analysis
4 Sensitivity Analysis
5 Linear Programming Applications
6 Linear Programming Applications
7 Linear Programming Applications in OPL
8 Linear Programming Applications in OPL
9 Linear Programming Applications in OPL
10 Data Envelopment Analysis
11 Data Envelopment Analysis
12 Integer Programming
13 Integer Programming
14 Linear Programming Applications in OPL
15 Term Project Presentation
16 Review of the Semester
Course Notes/Textbooks Introduction to Management Science: Quantitative Approaches to Decision Making (12th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: SouthWestern College, 2008.
Suggested Readings/Materials Model Building in Mathematical Programming, Fourth ed., H. Paul Williams, WILEY, 1999. Optimization Modelling: A Practical Approach, Ruhul A. Sarker, Charles S. Newton, CRC Pres, 2008. Supplementary Course Handouts.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
8
20
Presentation / Jury
2
20
Project
1
30
Seminar / Workshop
Oral Exam
Midterm
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
11
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

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
15
6
90
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
8
2
Presentation / Jury
2
10
Project
1
30
Seminar / Workshop
Oral Exam
Midterms
Final Exams
1
20
    Total
224

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to master existing theoretical knowledge in their specialized area of business administration.

X
2

To be able to gain in-depth knowledge of research methodologies and design.

X
3

To be able to acquire advanced knowledge of data collection and analysis techniques.

X
4

To be able to design and conduct original research with a scholarly theoretical emphasis.

X
5

To be able to disseminate scholarly knowledge in well-known academic networks.

X
6

To be able to demonstrate the ability to communicate the results of their research in a clear and effective manner with various audiences.

X
7

To be able to have concerns for the high ethical standards in research, and teaching.

X
8

To be able to adopt critical attitude toward the extant literature and practice in the specialized area of business administration.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest