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
1 2 3 4 5
1 Gains the ability to apply advanced computational and/or manufacturing technology knowledge to solve manufacturing engineering problems.
2 Develops the ability to analyze and define issues related to manufacturing technologies.
3 Develops an approach for solving encountered engineering problems, and designs and conducts models and experiments.
4 Designs and manufactures a comprehensive manufacturing system —including method, product, or device development— based on the creative application of fundamental engineering principles, under constraints of economic viability, environmental sustainability, and manufacturability.
5 Selects and uses modern techniques and engineering tools for manufacturing engineering applications.
6 Conducts scientific research in the field of manufacturing engineering and/or plans and carries out a project involving innovative manufacturing technologies.
7 Effectively uses information technologies to collect and analyze data, think critically, interpret results, and make sound decisions.
8 Works effectively as a member of multidisciplinary and intra-disciplinary teams or individually; demonstrates the confidence and organizational skills required. X
9 Communicates effectively in both spoken and written Turkish and English.
10 Engages in lifelong learning, accesses information, keeps up with the latest developments in science and technology, and continuously renews oneself.
11 Demonstrates awareness and a sense of responsibility regarding professional, legal, ethical, occupational safety, and social issues in the field of Manufacturing Engineering.
12 Effectively utilizes resources (personnel, equipment, costs) to enhance national competitiveness and improve manufacturing industry productivity; conducts solution-oriented project and risk management; and demonstrates awareness of entrepreneurship, innovation, and sustainable development.
13 Gathers knowledge about the health, environmental, social, and legal impacts of engineering practices at both global and local levels when making decisions.

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