TR
11111

COURSE INTRODUCTION AND APPLICATION INFORMATION

dba.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall
Prerequisites
None
Course Language
Course Type
Required
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course Discussion
Group Work
Problem Solving
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • learn how to apply the systems approach to model a variety of management problems
  • learn basic mathematical optimization models including linear and integer programming for business decision making
  • learn how to solve complex mathematical models by means of computer software.
  • learn how to interpret the computer solutions to mathematical optimization models
  • have a solid understanding of basic Management Science concepts
Course Description

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to Modeling Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
2 Modeling with Linear Programming Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
3 Solving Linear Programming Models Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
4 BAYRAM Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
5 Solving Examples of Linear Programming Models Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
6 Solving Examples of Linear Programming Models Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
7 Integer Linear Programming Models Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
8 Midterm 1 Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
9 Linear Programming Transportation Models Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
10 Linear Programming Transportation Models Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
11 Shortest Route, Minimal Spanning Tree, and Maximal Flow Problems Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
12 Managing Projects with CPM/PERT Models Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
13 Midterm 2 Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
14 Decision Making Models Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
15 Forecasting Models Introduction to Management Science. Bernard W. Taylor III, Eleventh Edition, Prentice Hall, New Jersey.
16 Review of the Semester  
Course Notes/Textbooks Parts from book that mentioned above and PowerPoint presentations.
Suggested Readings/Materials Operations Research Applications and Algorithms, Wayne L. Winston, Fourth Edition, Thomson Books.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
6
10
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
2
50
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
8
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
2
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
6
6
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
2
9
Final Exams
1
31
    Total
163

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
 Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 To solve problems, to have analytical and holistic viewpoint and to develop strategic thinking as a principle in the field of business administration X
2 To evaluate It is aimed to graduate students whom are able to critique what they have already learn in the field of management, adopting life long learning and continuously developing themselves X
3 It is aimed to graduate students whom are able to transfer their academic knowledge to organizational level and capable of expressing themselves regarding organizational problems both oral and written X
4 The students are required to understand the concepts and ideas of business in both national and multinational settings and practice cross disciplinary and comparative analysis X
5 It is required to know and practice the quality and productivity principles of business life X
6 Act and think with an innovative motive and able to apply the academic knowledge gain during new and unconventional occasions X
7 Acquiring leadership qualifications and applying them successfully X
8 Working efficiently and effectively, learning how to be a team member, taking responsibilities, being open minded, constructive, vulnerable to criticism and having self confidence X
9 It is required to know the regional economic aspects and transfer the academic knowledge to real life with both national and international thinking X
10 To know and apply the realities of business ethics and act according to social, scientific and ethical values under any circumstances such as data collection, evaluation, announcing and practicing X
11 Able to use a foreign language as fluent as possible for both chasing the scientific publication and developing proper communication with colleagues from other countries, (“European Language Portfolio Global Scale”, Level B1) X
12 Intermediate in both written and spoken of a second foreign language X
13 Able to use computer programs and technology to an adequate level required by business practices. X

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

 

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