Decision Making Analysis (MDES654) Course Detail

Course Name	Course Code	Season	Lecture Hours	Application Hours	Lab Hours	Credit	ECTS
Decision Making Analysis	MDES654	Area Elective	3	0	0	3	5

Pre-requisite Course(s)
N/A

Course Language	English
Course Type	Elective Courses
Course Level	Natural & Applied Sciences Master's Degree
Mode of Delivery	Face To Face
Learning and Teaching Strategies	Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives	This course aims to give the students the theory and practical tools of decision making with the purpose of aiding them during their graduate research.
Course Learning Outcomes	The students who succeeded in this course; 1. Students will have an overview of the literature and historical perspective of decision analysis. 2. Students will be able to resolve a decision making problem using the analytical tools of decision analysis. 3. Students will have an understanding of the utility theory. 4. Students will be able to formulate a real life situation with conflicting objectives as a decision making problem. 5. Students will acquire the ability to summarize a mathematical paper in front of an audience.
Course Content	Conflicting objectives in decision making; decision problems under certainty; utility theory for single-attribute and multi-attribute problems in decision analysis; individual versus group decisions.

Weekly Subjects and Releated Preparation Studies

Week	Subjects	Preparation
1	Introductory and historical overview of decision making. Sample cases.	Related pages of the textbook and other sources
2	Basic concepts. Decision trees...	Related pages of the textbook and other sources
3	Multi-attribute problems under certainty. Domination, efficient frontier solutions, lexico-graphic ordering, indifference curves, value functions.	Related pages of the textbook and other sources
4	Multi-attribute problems under certainty. Domination, efficient frontier solutions, lexico-graphic ordering, indifference curves, value functions.	Related pages of the textbook and other sources
5	Problems under uncertainty. Utility Theory. Utility functions for single-attribute problems. Assessment of utility functions. Risk aversion.	Related pages of the textbook and other sources
6	Problems under uncertainty. Utility Theory. Utility functions for single-attribute problems. Assessment of utility functions. Risk aversion.	Related pages of the textbook and other sources
7	Problems under uncertainty. Utility Theory. Utility functions for single-attribute problems. Assessment of utility functions. Risk aversion.	Related pages of the textbook and other sources
8	Problems under uncertainty. Utility Theory. Utility functions for single-attribute problems. Assessment of utility functions. Risk aversion.	Related pages of the textbook and other sources
9	Midterm	-
10	Multi-attribute problems under uncertainty. Utility independence. Assessment of multi-attribute utility functions. Additivity, multiplicativity and decomposition of utility functions. Hierarchical attributes for decision making.	Related pages of the textbook and other sources
11	Multi-attribute problems under uncertainty. Utility independence. Assessment of multi-attribute utility functions. Additivity, multiplicativity and decomposition of utility functions. Hierarchical attributes for decision making.	Related pages of the textbook and other sources
12	Multi-attribute problems under uncertainty. Utility independence. Assessment of multi-attribute utility functions. Additivity, multiplicativity and decomposition of utility functions. Hierarchical attributes for decision making.	Related pages of the textbook and other sources
13	Overview of applications of decision making.	Related pages of the textbook and other sources
14	Paper presentations	-
15	Overall review	-
16	Final exam	-

Sources

Course Book	1. [1] R.L. Keeney and H. Raiffa, Decisions with Multiple Objectives: Preferences and Value Tradeoffs, Cambridge University Press, 1993.
Other Sources	2. [2] D.E. Bell, H. Raiffa, and A. Tversky, Decision Making: Descriptive, Normative, and Prescriptive Interactions, Cambridge University Press, 1988.
	3. [3] R.L. Keeney, Value-Focused Thinking: A Path to Creative Decision Making, Harvard University Press, 1996.
	4. [4] H. Raiffa, Decision Analysis: Introductory Lectures on Choices under Uncertainty, Addison-Wesley, 1968.

Evaluation System

Requirements	Number	Percentage of Grade
Attendance/Participation	-	-
Laboratory	-	-
Application	-	-
Field Work	-	-
Special Course Internship	-	-
Quizzes/Studio Critics	-	-
Homework Assignments	3	25
Presentation	1	15
Project	-	-
Report	-	-
Seminar	-	-
Midterms Exams/Midterms Jury	1	30
Final Exam/Final Jury	1	30
Toplam	6	100

Percentage of Semester Work	70
Percentage of Final Work	30
Total	100

Course Category

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

The Relation Between Course Learning Competencies and Program Qualifications

#	Program Qualifications / Competencies	Level of Contribution
#	Program Qualifications / Competencies	1	2	3	4	5
1	Ability to apply knowledge on Mathematics, Science and Engineering to advanced systems.					X
2	Implementing long-term research and development studies in the major fields of Electrical and Electronics Engineering.					X
3	Ability to use modern engineering tools, techniques and facilities in design and other engineering applications.					X
4	Graduating researchers active on innovation and entrepreneurship.
5	Ability to report and present research results effectively.
6	Increasing the performance on accessing information resources and on following recent developments in science and technology.
7	An understanding of professional and ethical responsibility.
8	Increasing the performance on effective communications in both Turkish and English.
9	Increasing the performance on project management.
10	Ability to work successfully at project teams in interdisciplinary fields.

ECTS/Workload Table

Activities	Number	Duration (Hours)	Total Workload
Course Hours (Including Exam Week: 16 x Total Hours)	16	3	48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class	16	2	32
Presentation/Seminar Prepration	1	24	24
Project
Report
Homework Assignments	3	4	12
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury	1	8	8
Prepration of Final Exams/Final Jury	1	10	10
Total Workload			134