Course Details

MANAGEMENT SCIENCE

BA208

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
4BA208MANAGEMENT SCIENCE3+0+035

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program BUSINESS ADMINISTRATION
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course Endowing the student with concepts, techniques and tools to design, analyze and improve operational capabilities of an organization.
Endowing students with the importance of management science in the overall business strategy of the firm.
Endowing students with problem solving and critical thinking ability to improve organization capability.
Course Content This course aims designing and managing systems with scarce resources by applying scientific approaches. The course enables students to learn the optimal solution for the problems faced in an organization. The course material proves useful for improving and optimizing the performance of an organization. The course covers the following topics: formulating mathematical models for real world problems, introducing the solution methods for mathematical programming models and examining the validity of the models and interpreting the obtained results.
Course Methods and Techniques This is also a student-driven course. It is your responsibility to participate actively in class discussions. You are not graded on whether you agree or disagree with the instructor or with each other. Evaluation of class participation will be based on your ability to rise and answer important issues, to contribute ideas or insights, to build upon the ideas of others, ask questions to presenters, etc. By actively participating in the class discussions, you can sharpen your insights, and those of your classmates. Both the quality and frequency of your participation will count towards your active participation grade. Please note that high-quality or relevant contribution will earn you a higher participation grade than frequent but insignificant contribution. Also, you will not get any class participation points for just being present in class. Class attendance is a necessary but not a sufficient condition for scoring highly on the class participation.
Prerequisites and co-requisities None
Course Coordinator Associate Prof.Dr. FATMA SELEN MADENOĞLU selen.madenoglu@agu.edu.tr
Name of Lecturers Associate Prof.Dr. FATMA SELEN MADENOĞLU
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Introduction to Management Science by Bernard W. Taylor III, eleventh edition, Pearson
Introduction to Operations Research by Hiller/Lieberman, seventh edition, McGrawHill
Operations Research: An Introduction by Hamdy A. Taha, eighth edition, Pearson.
For this course I will be using CANVAS Course Website. You will access the course
syllabus, course materials including lecture notes, links to related websites,
assignments, articles, etc from CANVAS. You are responsible to check Canvas on a
regular basis. Information about exams and assignment grades will also be available
at this site.

Course Category
Mathematics and Basic Sciences %50
Social Sciences %50

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı 1 % 25
Quiz/Küçük Sınav 3 % 10
Ödev 3 % 15
Proje/Çizim 1 % 25
Final examination 1 % 25
Total
9
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Grup Projesi 1 20 20
Ev Ödevi 2 6 12
Sınıf İçi Aktivitesi 14 1 14
Soru Çözümü 3 15 45
Kişisel Çalışma 14 1 14
Ders dışı çalışma 2 5 10
Yüz Yüze Ders 14 3 42
Total Work Load   Number of ECTS Credits 5 157

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Identify the need for quantitative managerial decision making tools to improve decision making in a business context and apply the appropriate tools
2 Achieve an understanding of building blocks of quantitative managerial decision making models
3 Achieve solving and analyzing quantitative decision making models using spreadsheets
4 Demonstrate the best solution with respect to changes in the parameters of the problem, and evaluate solutions


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to Management Science & Modelling
2 Introduction to Management Science & Modelling
3 Linear Programming (LP): Graphical Solution Methods
4 Linear Programming (LP): Computer Solution and Sensitivity Analysis
5 Linear Programming (LP): Computer Solution and Sensitivity Analysis
6 Linear Programming: Modeling Examples
7 MIDTERM
8 Linear Programming: Modeling Examples
9 Integer Programming
10 Transportation, Transshipment, and Assignment Problems
11 Transportation, Transshipment, and Assignment Problems
12 Network models
13 Network models
14 Project Management
15
16


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
C1 5 5 4 4 5 5
C2 5 5 5 5
C3 5 5 5 5
C4 5 4 5 2 2 5 5 5

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=70551&lang=en