BA250 – MANAGEMENT SCIENCE

Course Name

/ Code / Semester / Lesson (hour/week) / 3 / IUE Credit / ECTS
Credit
Application
(hour/week) / 0
Management Science / BA 250 / 1 / Laboratory
(hour/ week) / 0 / 3 / 6
Pre-requisites / None
Course Language / English
Course Type / Compulsory
Course Level / Undergraduate
Course Coordinator / Prof. Dr. Semra Tunalı
Course Lecturer(s) / : / Prof. Dr. Semra Tunalı http://homes.ieu.edu.tr/stunali Tel:0232-4888383
Assoc. Prof. Dr. Yiğit Kazançoğlu http://homes.ieu.edu.tr/ykazancoglu Tel:0232-4888346
Course Assistant / : / Res. Asst. Muhittin Sağnak
Course Objective / : / 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 so that the students can gain a quantitative foundation in basic mathematical modeling and problem solving that will be helpful in the higher level courses such as Operations Management and Production Planning and Inventory Control.
Course Learning Outcomes / : / Upon successful completion of this course, students will:
1.  learn how to apply the systems approach to model a variety of management problems,
2.  learn basic mathematical optimization models including linear and integer programming for business decision making,
3.  learn how to solve complex mathematical models by means of computer software.
4.  learn how to interpret the computer solutions to mathematical optimization models
5.  have a solid understanding of basic Management Science concepts
Course Content
(Short definition) / : / 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.

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week / Subjects / Related Preparation
1 / Introduction to Modeling / Chapter 1 of the Text book
2 / Modeling with Linear Programming / Chapter 2 of the Text Book
3 / Solving Linear Programming Models / Chapter 3 of the Text Book
4 / Solving Examples of Linear Programming Models / Chapter 4 of the Text Book
5 / Solving Examples of Linear Programming Models / Chapter 4 of the Text Book
6 / Integer Linear Programming Models / Chapter 5 of the Text Book
7 / MIDTERM EXAM 1 / Review
8 / Linear Programming Transportation Models / Chapter 6 of the Text Book
9 / Shortest Route, Minimal Spanning Tree, and Maximal Flow Problems / Chapter 7 of the Text Book
10 / Managing Projects with CPM/PERT Models / Chapter 8 of the Text Book
11 / Managing Projects with CPM/PERT Models / Chapter 8 of the Text Book
12 / MIDTERM EXAM 2 / Review
13 / Decision-Making Models / Chapter 12 of the Text Book
14 / Decision-Making Models / Chapter 12 of the Text Book
15 / Review of the Semester
16 / Review of the Semester

SOURCES

Course Notes / : / Text Book: Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
Power points of the text book are used. The class notes will be posted online before the class.
Other Sources / : / Operations Research Applications and Algorithms, Wayne L. Winston, Fourth Edition, Thomson Books.
Exams / : / Students who need to attend the make-up exams for midterms are strictly required to submit a medical report from a state or university hospital to their instructors.

EVALUATION SYSTEM

SEMESTER REQUIREMENTS / NUMBER / PERCENTAGE OF GRADE
Attendance &Participation / 10
Homework Assignments / 6 / 10
Mid-Terms / 2 / 50
Final / 1 / 30
TOTAL / 100