Decision Making Analysis (MDES654) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Decision Making Analysis MDES654 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Ph.D.
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
Major Area Courses X
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
1 2 3 4 5
1 Gains the ability to understand and apply knowledge in the fields of mathematics, science and basic sciences at the level of expertise.
2 Gains the ability to access wide and deep knowledge in the field of Engineering by doing scientific research with current techniques and methods, evaluate, interpret and implement the gained knowledge.
3 Being aware of the latest developments his/her field of study, defines problems, formulates and develops new and/or original ideas and methods in solutions.
4 Designs and applies theoretical, experimental, and model-based research, analyzes and interprets the results obtained at the level of expertise.
5 Gains the ability to use the applications, techniques, modern tools and equipment in his/her field of study at the level of expertise.
6 Designs, executes and finalizes an original work process independently.
7 Can work in interdisciplinary and interdisciplinary teams, lead teams, use the information of different disciplines together and develop solution approaches.
8 Pays regard to scientific, social and ethical values in all professional activities and acquires responsibility consciousness at the level of expertise.
9 Contributes to the literature by communicating the processes and results of his/her academic studies in written form or orally in national and international academic environments, communicates effectively with communities and scientific staff working in the field of specialization.
10 Gains the skill of lifelong learning at the level of expertise.
11 Communicates verbally and in written form using a foreign language at least at the European Language Portfolio B2 General Level.
12 Recognizes the social, environmental, health, safety, legal aspects of engineering applications, as well as project management and business life practices, being aware of the limitations they place on engineering applications.

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