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)
N/A
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

Sources

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 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 Acquiring the skills of understanding, explaining, and using the fundamental concepts and methods of economics
2 Acquiring the skills of macro level economic analysis
3 Acquiring the skills of micro level economic analysis
4 Understanding the formulation and implementation of economic policies at the local, national, regional, and/or global level
5 Learning different approaches on economic and related issues
6 Acquiring the quantitative and/or qualitative techniques in economic analysis
7 Improving the ability to use the modern software, hardware and/or technological devices
8 Developing intra-disciplinary and inter-disciplinary team work skills X
9 Acquiring an open-minded behavior through encouraging critical analysis, discussions, and/or life-long learning
10 Adopting work ethic and social responsibility
11 Developing the skills of communication.
12 Improving the ability to effectively implement the knowledge and skills in at least one of the following areas: economic policy, public policy, international economic relations, industrial relations, monetary and financial affairs. X

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 3 48
Presentation/Seminar Prepration
Project 1 15 15
Report
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