Master's Degree in Industrial Engineering with Thesis

Course Code	Course Name	Year	Period	Semester	T+A+L	Credit	ECTS
84211115	Multi-Criteria Decision Making Techniques	2025	Spring	2	3+0+0	7,5	7,5

Course Type	Elective
Course Cycle	Master's (Second Cycle) (TQF-HE: Level 7 / QF-EHEA: Level 2 / EQF-LLL: Level 7)
Course Language	Turkish
Methods and Techniques	-
Mode of Delivery	Face to Face
Prerequisites	-
Coordinator	-
Instructor(s)	Asst. Prof. Fatma ÇİFTCİ
Instructor Assistant(s)	-

Name and Surname	Room	E-Mail Address	Internal	Meeting Hours
Asst. Prof. Fatma ÇİFTCİ	A-306	[email protected]	7429

Basic Vocational Courses
Specialization / Field Courses	X
Support Courses
Transferable Skills Courses
Humanities, Communication and Management Skills Courses

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Program Learning Outcomes	Level
P1	Using scientific research methods in the field of Industrial Engineering, they access information in depth and from a broad perspective; they critically analyze, interpret, and apply the information they obtain.	1
P2	Possesses advanced knowledge of current methods, techniques, and tools used in Industrial Engineering, as well as the assumptions and limitations of these approaches.	2
P3	In situations where data is uncertain, incomplete, or limited in the field of Industrial Engineering, they supplement information using scientific and analytical methods; they develop solutions by integrating information obtained from different disciplines.	2
P4	Monitors new and emerging applications, approaches, and technologies in the field of Industrial Engineering; develops and manages the learning process in these areas as needed.	5
P5	Industrial Engineering systematically defines problems; develops appropriate models and methods for these problems and applies innovative approaches in the solution processes.	3
P6	Generates new and original ideas to design complex systems and processes; develops alternative and innovative solutions.	1
P7	Plans and conducts theoretical, experimental, and/or modeling-based research; analyzes and resolves complex problems encountered during the research process.	3
P8	Effectively participates in intra-disciplinary and interdisciplinary teams; assumes leadership when necessary, develops solution-oriented approaches using project and risk management tools; can work independently and take responsibility.	5
P9	They present the processes and results of their work in a clear, systematic, and understandable manner, both in writing and/or orally, in national and international academic or professional settings; they act in accordance with entrepreneurship, innovation, sustainability, and social and ethical values in professional practice.	3
P10	Entrepreneurship, innovation, and sustainability can be implemented in business practices.	4
P11	It observes social, scientific, and ethical values during the collection, interpretation, and dissemination of data, as well as in all professional activities.	5

Upon the successful completion of this course, students will be able to:
No	Learning Outcomes	Outcome Relationship	Measurement Method **
O1	It analyzes the theoretical foundations, assumptions, and limitations of these methods and techniques.	P.2.2
O2	It applies decision-making and analysis techniques under uncertainty.	P.3.4
O3	Develops innovative and creative approaches in solution processes.	P.5.4
O4	Demonstrates independent work and decision-making skills.	P.8.5
** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7

Week	Topics
1	Key concepts related to decision-making
2	Modeling and classifying decision-making problems.
3	Decision making under uncertainty
4	Decision-making under risk, expected value, expected opportunity cost.
5	Decision Trees
6	Multi-Criteria Decision Making
7	Normalization Methods
8	Midterm Exam
9	Simple Summation Weighting Method, Weighted Multiplication Method
10	Analytical Hierarchy Process
11	Analytical Hierarchy Process
12	TOPSIS Method
13	TOPSIS Method
14	Current Issues on MCDC
15	Multi-criteria decision-making methods
16	Final

Resources

Multi-Criteria Decision Making Methods, Yıldırım B.F., Önder E., Dora Publishing, 2014.

In-Term Studies	Quantity	Percentage
Attendance	-	-
Homework	-	-
Presentation	-	-
Midterms	1	40 (%)
Final Exam	1	60 (%)
Total		100 (%)

	Quantity	Duration	Total Work Load
Course Week Number and Time	16	3	48
Out-of-Class Study Time (Pre-study, Library, Reinforcement)	1	40	40
Midterms	1	65	65
Quiz	0	0	0
Homework	0	0	0
Practice	0	0	0
Laboratory	0	0	0
Project	0	0	0
Workshop	0	0	0
Presentation/Seminar Preparation	0	0	0
Fieldwork	0	0	0
Final Exam	1	75	75
Other	0	0	0
Total Work Load:			228
Total Work Load / 30			7,60
Course ECTS Credits:			8

Relationship Levels
Lowest	Low	Medium	High	Highest
1	2	3	4	5

#	Learning Outcomes	P2	P3	P5	P8
O1	It analyzes the theoretical foundations, assumptions, and limitations of these methods and techniques.	3	5	5	5
O2	It applies decision-making and analysis techniques under uncertainty.	4	5	4	5
O3	Develops innovative and creative approaches in solution processes.	3	2	5	2
O4	Demonstrates independent work and decision-making skills.	5	5	5	5