INFORMATION TECHNOLOGIES (TURKISH, THESIS)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
INE5261	Multi Attribute Decision Making	Fall Spring	3	0	3	12

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:
Mode of Delivery:	Face to face
Course Coordinator :	Assist. Prof. JBİD ANİ ARSENYAN ÜŞENMEZ
Recommended Optional Program Components:	None
Course Objectives:	This course aims to build up the multi-attribute decision making concept by defining the decision making problem with its various constituents.

Learning Outcomes

The students who have succeeded in this course;
Understand the nature of decision making
Structure and model multi-attribute decision making problems
Select the most appropriate method to solve multi-attribute problems
Integrate the preferences of a group of decision makers
Solve real world problems having conflicting criteria

Course Content

The course includes various multi-attribute decision making tools and techniques such as elementary methods, value based methods, and outranking methods in order to help industrial engineering students to handle real-life problems with a scientific approach.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Decision analysis
2)	Utility theory
3)	Multi attribute decision making
4)	Structuring the problem
5)	Elementary methods
7)	Value-based methods
8)	Midterm
9)	Outranking methods
10)	Group Decision Making
11)	Fuzzy Approach to MADM
12)	Applications
13)	Project presentations
14)	Project presentations

Sources

Course Notes / Textbooks:

Multiple Attribute Decision Making: An Introduction K . P. Yoon, and C.-L.Hwang 1995 978-0803954861

References:

Multiple Criteria Decision Analysis: An Integrated Approach V. Belton, and T.J. Stewart 2003 0-7923-7505-X
The analytic hierarchy process: planning, priority setting, resource allocation T.L. Saaty 1990 978-0070543713
Decisions with Multiple Objectives:
Preferences and Value Tradeoffs R.L. Keeney, and H. Raiffa 1993 978-0521438834
The Analytic Network Process: Decision Making With Dependence and Feedback T.L. Saaty 1996 978-0962031793

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Project	1	% 35
Midterms	1	% 25
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 25
PERCENTAGE OF FINAL WORK		% 75
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	12	6	72
Presentations / Seminar	1	15	15
Project	1	60	60
Midterms	1	2	2
Final	1	2	2
Total Workload			193

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Follows the scientific literature in the field of Information Technology, critically analyzes it, and effectively utilizes it in solving complex IT problems.
2)	Designs, plans, implements, and manages original projects related to the field of Information Technology.
3)	Conducts independent studies in the field of Information Technology, assumes scientific responsibility, and evaluates the findings with a critical perspective.
4)	Presents the outcomes of research and projects effectively in written, oral, and visual forms, in accordance with academic and professional standards.
5)	Conducts independent research on specialized topics within the field, develops innovative and original ideas, and translates this knowledge into practice and technology.
6)	Effectively applies advanced theoretical knowledge and practical skills specific to the field of Information Technology; analyzes and develops current software, hardware, and system solutions.
7)	Acts in accordance with professional, scientific, and ethical principles; takes responsibility by considering the societal, environmental, and ethical impacts of IT applications.