Decision Analysis (IE418) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Decision Analysis IE418 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Problem Solving, Team/Group, Project Design/Management.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives Upon successful completion of this course, the student should be able to learn to give decisions in uncertain environments and in the presence of more than one objective.
Course Learning Outcomes The students who succeeded in this course;
  • Students will learn theoretical background information needed for making hard decisions under uncertainty and risky decisions.
  • Students will be able to develop models, methods and methodologies for the effective ways of making decisions under uncertain and multiple objective environments.
  • Students will be able to assess the value of information.
Course Content Decision making in uncertain environments, value of information, risk seeking and risk averse behavior, utility functions, multi-objective decision making, goal programming.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction to decision making
2 Decision rules under non-stochastic Criteria
3 Decision rules under non-stochastic Criteria
4 Decision analysis under expected value criterion
5 Decision analysis under expected value criterion
6 Utility theory
7 Utility theory
8 Risk sharing
9 Midterm
10 Value of partial and perfect information
11 Multi attribute utility functions
12 Multi attribute utility functions
13 Analytic hierarchy process
14 Goal programming
15 IE applications for decision analysis
16 Final Examination Period


Course Book 1. Clemen, R.T., and Reilly, T., Making Hard Decisions: An Introduction to Decision Analysis, 2nd edition, Duxbury Press, 2000.
Other Sources 2. Raiffa, H., Decision Analysis, 2nd edition, Addison-Wesley, 1968.
3. Holloway, C.A., Decision Making Under Uncertainty, Prentice Hall, 1979.
4. Winston, W.L., Operations Research, 2nd edition, PWS-KENT, 1991.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project 1 25
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 45
Toplam 3 100
Percentage of Semester Work 55
Percentage of Final Work 45
Total 100

Course Category

Core Courses
Major Area Courses
Supportive Courses X
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 An ability to apply knowledge of mathematics, science and engineering to Industrial Engineering; an ability to apply theoretical and practical knowledge to model and solve engineering problems.
2 An ability to identify, formulate and solve complex engineering problems; an ability to select and apply proper analysis and modeling methods. X
3 An ability to design a complex system, process, tool or component to meet desired needs within realistic constraints; an ability to apply modern design.
4 An ability to develop, select and put into practice techniques, skills and modern engineering tools necessary for engineering practice; an ability to use information technology effectively. X
5 An ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or disciplinary research topics.
6 An ability to work individually, on teams, and/or on multidisciplinary teams.
7 Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; effective report writing and understand written reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instruction.
8 A recognition of the need for, and an ability to engage in life-long learning; an ability to use information-seeking tools and to follow the improvements in science and technology.
9 An ability to behave according to the ethical principles, an understanding of professional and ethical responsibility. Information on standards used in industrial engineering applications.
10 Knowledge of business applications such as project management, risk management and change management. A recognition of entrepreneurship, innovativeness. Knowledge of sustainable improvement.
11 Information on the effects of industrial engineering practices on health, environment and security in universal and societal dimensions and the information on the problems of the in the field of engineering of the era. Awareness of the legal consequences of engineering solutions.
12 An ability to design, development, implementation and improvement of integrated systems that include human, materials, information, equipment and energy. X
13 Knowlede on appropriate analytical, computational and experimental methods to provide system integration.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project 1 15 15
Homework Assignments
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 5 5
Prepration of Final Exams/Final Jury 1 9 9
Total Workload 125