COURSE INTRODUCTION AND APPLICATION INFORMATION

Course Name
Advanced Decision Making Techniques
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
BA 325
Fall/Spring
3
0
3
6
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Discussion
Group Work
Problem Solving
Q&A
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives This course aims to provide students with the knowledge and skills that will enable them to make accurate and effective decisions in business life.
Learning Outcomes The students who succeeded in this course;
  • Will be able to define the basic concepts of decision making process.
  • Will be able to model various decision making problems in service and manufacturing organizations.
  • Will be able to make proper decisions against uncertain problems.
  • Will be able to identify an appropriate decision making technique according to the type of problem.
  • Will be able to deliver solutions to multi-criteria problems.
Course Description This course teaches techniques used to make decisions accurately and effectively, individually or in groups, in situations involving many different goals and uncertainty in the business world.
Related Sustainable Development Goals

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Defining a Good and Effective Decision
2 Decisions in Organizations
3 Decision Making In Case of Uncertainty Chapter 12 - Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition, Prentice-Hall, New Jersey, ISBN-13: 978-0132752008
4 Decision Trees Chapter 2 - Mathematical Models for Decision Making with Multiple Perspectives, Gomes, M.I, Martins, N.C, CRC Press. ISBN: 978-0-367-44074-9
5 A Multiple Attribute Utility Theory Chapters 2 and 3 - Mathematical Models for Decision Making with Multiple Perspectives
6 Multicriteria Decision Making Models: ELECTRE Chapter 4 - Mathematical Models for Decision Making with Multiple Perspectives
7 Multicriteria Decision Making Models: AHP Chapter 5 - Mathematical Models for Decision Making with Multiple Perspectives
8 Multicriteria Decision Making Models: TOPSIS Chapter 6 - Mathematical Models for Decision Making with Multiple Perspectives
9 Midterm Exam
10 Game Theory Module E - Chapter 9 - Introduction to Management Science
11 Tools to Assist Decision Making
12 Tools to Assist Decision Making
13 Project Presentations
14 Project Presentations
15 Review of the Semester
16 Final Exam
Course Notes/Textbooks
  • Introduction to Management Science. Bernard W. Taylor III, Twelfth Edition, Prentice-Hall, New Jersey, ISBN-13: 978-0132752008
  • Mathematical Models for Decision Making with Multiple Perspectives, Gomes, M.I, Martins, N.C, (2022). CRC Press.
    ISBN: 978-0-367-44074-9 (hbk) ISBN: 978-1-032-16845-6 (pbk) ISBN: 978-1-003-01515-4 (ebk)
    DOI: 10.1201/9781003015154
Suggested Readings/Materials

 

EVALUATION SYSTEM

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

Weighting of Semester Activities on the Final Grade
3
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
14
3
42
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exam
Midterms
1
30
Final Exams
1
30
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To be able to acquire theoretical and practical knowledge and skills in the area.
2

To be able to approach problems with an analytical and holistic viewpoint.

 X
3

To be able to gain knowledge about both national and international accounting and auditing standards.
4

To be able to communicate the findings and solutions to the accounting and auditing problems in written and oral formats.

X
5

To be able to critically evaluate the performance of accounting and other related management information systems, and organizations.
6

To be able to develop innovative and creative approach to real-life business issues.
7

To be able to integrate knowledge gained in the main areas of accounting and auditing through a strategic perspective.
8

To be able to act in accordance with the scientific and ethical values in studies related to accounting and auditing.
9

To be able to demonstrate both leadership and team-work skills through being an efficient and effective team member.

 X
10

To be able to have an ethical perspective and social responsiveness when evaluating and making business decisions.
11

To be able to collect data in the area of business administration and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1).
12

To be able to speak a second foreign at a medium level of fluency efficiently.
13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

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