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Department of Computer Engineering
IE 342 | Course Introduction and Application Information
| Course Name |
Decision Theory
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
IE 342
|
FALL
|
3
|
0
|
3
|
5
|
| Prerequisites | MATH 240 To succeed (To get a grade of at least DD) | |||||
| Course Language | English | |||||
| Course Type | ELECTIVE_COURSE | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | Face to face | |||||
| Teaching Methods and Techniques of the Course | Lecture / Presentation Problem Solving | |||||
| National Occupational Classification Code | - | |||||
| Course Coordinator |
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| Course Lecturer(s) |
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| Assistant(s) |
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| Course Objectives | The objectives of this course are to familiarize students with the introductory knowledge on modelling, analysis and solution approaches for decision making situations under uncertainty, under risk, under certainty and in situations with multiple criteria. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
The students who succeeded in this course;
|
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| Course Description | The main subjects of the course are the decision situations such as uncertainty, risk, certainty and multiple criteria, decision rule, decision trees, information and the cost of additional information, utility theory, multiobjective problems, solution notions for such problems and methods for calculations efficient solutions for multiobjective problems, goal programming and the methods of analyzing solutions for goal programming problems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||
| Related Sustainable Development Goals |
-
|
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|
|
Core Courses |
|
| Major Area Courses |
X
|
|
| Supportive Courses |
|
|
| Media and Managment Skills Courses |
|
|
| Transferable Skill Courses |
|
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials | Learning Outcome |
| 1 | Introduction to the course. Introduction to Decision Theory. Behavioral decision analysis. | Lecture notes | - |
| 2 | Decision making under certainty. Decision making under uncertainty. Decision making under risk. | Lecture notes | LO1 |
| 3 | Utility Theory. Single attribute utility. Probability-equivalence approach. | Lecture notes | LO2 |
| 4 | Interpreting utility functions. Utility functions for nonmonetary attributes. | Lecture notes | LO3 |
| 5 | The axioms of utility. Certainty equivalence approach. | Lecture notes | LO2 |
| 6 | Attitudes towards risk. Risk premium. | Lecture notes | LO2 |
| 7 | Decreasing and constant risk aversion. | Lecture notes | LO2 |
| 8 | Midterm Exam | - | |
| 9 | Expected value of perfect information. | Lecture notes | LO4 |
| 10 | Expected value of sample information. | Lecture notes | LO4 |
| 11 | Multicriteria Decision Making. | Lecture notes | LO5 |
| 12 | Goal Programming. | Lecture notes | LO5 |
| 13 | Multiattribute Utility Theory. | Lecture notes | LO5 |
| 14 | Machine Learning | Lecture notes | LO5 |
| 15 | Review | - | |
| 16 | Final exam | - |
| Course Notes/Textbooks | - |
| Suggested Readings/Materials |
Lecture notes Robert T. Clemen Terence Reilly Making Hard Decisions With Decision Tools Duxbury Thomson Learning 2001 ISBN13 9780495015086 ISBN10 0495015083 Wayne L. Winston Operations Research. Applications and Algorithms Duxbury Press Belmont California 1994. |
EVALUATION SYSTEM
| Semester Activities | Number | Weighting | LO1 | LO2 | LO3 | LO4 | LO5 |
| Quizzes / Studio Critiques | 5 | 30 | X | X | X | X | X |
| Midterm | 1 | 30 | X | X | X | ||
| Final Exam | 1 | 40 | X | X | X | ||
| Total | 7 | 100 |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Participation | - | - | - |
| Theoretical Course Hours | 16 | 3 | 48 |
| Laboratory / Application Hours | - | - | - |
| Study Hours Out of Class | 14 | 3 | 42 |
| Field Work | - | - | - |
| Quizzes / Studio Critiques | 5 | 4 | 20 |
| Portfolio | - | - | - |
| Homework / Assignments | - | - | - |
| Presentation / Jury | - | - | - |
| Project | - | - | - |
| Seminar / Workshop | - | - | - |
| Oral Exams | - | - | - |
| Midterms | 1 | 20 | 20 |
| Final Exam | 1 | 20 | 20 |
| Total | 150 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | PC Sub | Program Competencies/Outcomes | * Contribution Level | ||||
| 1 | 2 | 3 | 4 | 5 | |||
| No program competency data found. | |||||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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