GRADUATE SCHOOL

Ph.D. In Business Administration

BA 617 | Course Introduction and Application Information

Course Name
Applied Management Science
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
BA 617
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives Management in the current competitive and complex business environment calls for excellence in decision making. This course aims at teaching the applications of mathematical modeling and analysis to management problems. The subject matter includes various applications of linear programming, integer programming and multi-criteria decision making.
Learning Outcomes The students who succeeded in this course;
  • Learn the basic and advanced principles of applied mathematical modeling for managerial decision-making
  • Formulate business problems mathematically using linear and integer linear programming.
  • Sharpen their ability to structure and model complex real-life problems.
  • Use computer software to solve complex mathematical models.
  • Solve and analyze multi-criteria decision problems
Course Description This course is based on operations research in management decision making, and various mathematical modelling methods will be taught.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Mathematical Modellling Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - Chapter 1
2 Linear Programming Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - Chapter 2
3 Sensitivity Analysis Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - Chapter 3
4 Linear Programming Applications Handouts
5 Data Envelopment Analysis Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - Chapter 5
6 Data Envelopment Analysis Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - Chapter 5
7 Integer Linear Programming Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - Chapter 7
8 Integer Linear Programming Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - Chapter 7
9 Multi-Criteria Decision Making Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - Chapter 14
10 Multi-Criteria Decision Making Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - Chapter 14
11 Directed Research Handouts
12 Directed Research Handouts
13 Directed Research Handouts
14 Term Project Presentation
15 Review of the Semester
16 Review of the Semester

 

Course Notes/Textbooks

Introduction to Management Science: Quantitative Approaches to Decision Making (14th Edition) Anderson, D. R., Sweeney, D. J., Williams, T. A.., Martin, K., Cincinnati, OH: South-Western College, 2016 - ISBN: 9781305544666

Suggested Readings/Materials

Model Building in Mathematical Programming, Fourth ed., H. Paul Williams, WILEY, 1999 - ISBN: 978-0471997887 

Optimization Modelling: A Practical Approach, Ruhul A. Sarker, Charles S. Newton, CRC Pres, 2008 - ISBN:  978-1420043105

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
20
Presentation / Jury
1
30
Project
1
20
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
Total

Weighting of Semester Activities on the Final Grade
4
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
15
5
75
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
15
15
Presentation / Jury
1
20
20
Project
1
32
32
Seminar / Workshop
0
Oral Exam
0
Midterms
1
26
26
Final Exam
0
    Total
216

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to master existing theoretical knowledge in their specialized area of business administration.

X
2

To be able to gain in-depth knowledge of research methodologies and design.

X
3

To be able to acquire advanced knowledge of data collection and analysis techniques.

X
4

To be able to design and conduct original research with a scholarly theoretical emphasis.

5

To be able to disseminate scholarly knowledge in well-known academic networks.

6

To be able to demonstrate the ability to communicate the results of their research in a clear and effective manner with various audiences.

X
7

To be able to have concerns for the high ethical standards in research, and teaching.

X
8

To be able to adopt critical attitude toward the extant literature and practice in the specialized area of business administration.

X

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

 


Izmir University of Economics
is an establishment of
izto logo
Izmir Chamber of Commerce Health and Education Foundation.
ieu logo

Sakarya Street No:156
35330 Balçova - İzmir / Turkey

kampus izmir

Follow Us

İEU © All rights reserved.