Course Name

/ Code / Semester / Lesson
(hour/week) / 3 / IUE Credit / ECTS
Credit
Application
(hour/week) / 0
Quantitative Methods / BA503 / Lab
(hour/week) / 0 / 3 / 6

COURSE INTRODUCTION AND APPLICATION INFORMATION

Pre-requisites / : / None
Course Language / : / English
Course Type / : / Compulsory
Course Level / : / Graduate
Course Coordinator / : / Asst. Prof. Dr. Yiğit Kazançoğlu
Course Lecturers / : / Asst. Prof. Dr. Yiğit Kazançoğlu
(C-830 / Phone: 4888346 / )

Check the course websites frequently for the class notes, assignments and announcements.
Course Assistants / : / Res. Asst. Muhittin Sağnak (C-901 / Phone: 4889870 / )
Course Objective / : / To develop an understanding of Management Science to solve the decision-making problems that confronts and confounds managers in both the public and the private sector by developing mathematical models of those problems, to understand the relationship between Management Science, operations and other business functions, such as Marketing, Finance Accounting, and Human Resources, to demonstrate the use of mathematical models, modeling and solution techniques
Course Learning Outcomes / : / The students who are able to finish this course sucesfully;
1)will be able to define the basic concepts of Management Science
2)will be able to model these concepts in public and private sector business activities
3)will be able to apply the basic concepts of various administrative activities
4)be able to show the integral relationship to analyze complex administrative problems
Course Content
(Short definition) / : / This course is based on operations research in management decision making, and the mathematical methods will be taught.

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week / Subjects / Related Preparation
1 / Introduction to Management Science /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

2 / Linear Programming: Model Formulation and Graphical Solution /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

3 / Linear Programming: Computer Solution and Sensitivity Analysis /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

4 / Linear Programming: Modeling Examples /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

5 / Linear Programming: Modeling Examples /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

6 / Integer Programming /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

7 / BAYRAM
8 / MIDTERM EXAM 1 /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

9 / Transportation, Transshipment and Assignment Problems /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

10 / Transportation, Transshipment and Assignment Problems /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

11 / Network Flow Models /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

12 / Project Management /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

13 / MIDTERM EXAM 2 /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

14 / Decision Analysis /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

15 / Forecasting /

Introduction to Management Science. Bernard W. Taylor III, Tenth Edition, Prentice Hall, New Jersey.

SOURCES

Course Notes / : / Parts from book that mentioned above and PowerPoint presentations
Other Sources / : / Operations Research Applications and Algorithms, Wayne L. Winston, Fourth Edition, Thomson Books
Presentation / : / Students do not make presentations.
Exams / : / Mathematical modelling questions are asked in the exam.

EVALUATION SYSTEM

SEMESTER REQUIREMENTS / NUMBER / PERCENTAGE OF GRADE
Attendance
Lab
Application
Field Work
Special Course Internship
Homework Assignments / 5 / 30
Presentations
Project
Seminar
Mid-Terms / 2 / 70
Final
TOTAL / 100
PERCENTAGE OF SEMESTER WORK / 100
PERCENTAGE OF FINAL WORK
TOTAL / 100