BUSINESS ADMINISTRATION
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
BA3464 Management Science Spring 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. YAVUZ GÜNALAY
Course Lecturer(s): Prof. Dr. YAVUZ GÜNALAY
Dr. Öğr. Üyesi LEVENT AKSOY
Course Objectives: Students are introduced with analytical modeling tools, and they are asked to model both deterministic and probabilistic business problems using these tools. Spreadsheet software are gaining an undeniable importance/usage both in modeling and solving problems in today’s organizations. Thus, in this course students are introduced to spreadsheet modeling concepts and they are expected to use these software at a moderate level.

Learning Outputs

The students who have succeeded in this course;
The students who have succeeded in this course;
1. Aware of the importance of modelling and mathematical modelling methodology.
2. Be able to differentiate deterministic and probabilistic models.
3. Be able to generate linear programming and discrete programming models.
4. Able create multi-criteria decision models.
5. Able to do sensitivity analysis.
6. Define and use network models.

Course Content

Description of Operations Research and modeling are introduced. Topics that are discussed include: Deterministic models such as Linear Programing, Integer Programming, Multi-criteria programming, and Probabilistic modeling tools, simulation and queueing.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to Operations Research (Management Science)
2) Linear Programming (LP) models
3) Use of computers to solve LP models. Excel usage and Solver plug-in
4) Sensitivity analysis of LP results.
5) Application of LP models to business problems.
6) Application of LP models to business problems. (cont)
7) Application of LP models to business problems. (cont.)
8) Review
9) Integer Programming
10) Integer and Non-linear programming.
11) Probabilistic models (Queueing, Inventory management)
12) Simulation Review statistics subects.
13) Simulation
14) Review.

Sources

Course Notes: Ders Kitabı: Introduction to Management Science, by B. W. Taylor 11th Ed., Pearson, 2013.
References: Textbook: Introduction to Management Science, by B. W. Taylor 11th Ed., Pearson, 2013

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 10 % 15
Laboratory 1 % 15
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes 6 % 10
Homework Assignments % 0
Presentation % 0
Project % 0
Seminar % 0
Midterms 1 % 25
Preliminary Jury % 0
Final 1 % 35
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 65
PERCENTAGE OF FINAL WORK % 35
Total % 100

ECTS / Workload Table

Activities Number of Activities Workload
Course Hours 14 42
Laboratory 3 7
Application
Special Course Internship (Work Placement)
Field Work
Study Hours Out of Class 14 95
Presentations / Seminar
Project
Homework Assignments
Quizzes
Preliminary Jury
Midterms
Paper Submission
Jury
Final 2 4
Total Workload 148

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Being able to identify problems and ask right questions
2) Having problem solving skills and developing necessary analytical attitude
3) Comprehending theoretical arguments along with counter arguments in detail
4) Gaining awareness of lifelong learning and being qualified for pursuing graduate education
5) Applying theoretical concepts in project planning
6) Communicating efficiently by accepting differences and carrying out compatible teamwork
7) Increasing efficiency rate in business environment
8) Developing innovative and creative solutions in face of uncertainty
9) Researching to gather information for understanding current threats and opportunities in business
10) Being aware of the effects of globalization on society and business while deciding
11) Possessing digital competence and utilizing necessary technology
12) Communicating in at least one foreign language in academic and daily life
13) Possessing managing skills and competence
14) Deciding with the awareness of the legal and ethical consequences of business operations
15) Expressing opinions that are built through critical thinking process in business and academic environment