Course Code & Number
IE 548
Course Title
Decision Analysis
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 7.5 ECTS Credits
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
Introduction to decision analysis. Concept of probability and decision making under uncertainty. Decision trees. Group and strategic decision making. Quantitative decision making methods, quantitative analysis, simulation methods. Analytic hierarchy process. Management decision support systems
Course Objectives
The fundamental goal of this course is to provide an introduction to the methods and practices of decision analysis. The course aims to teach the ways to aid managerial decision making by applying a scientific approach to decisions problems that involve quantitative factors. The methods include influence diagrams, decision trees, utility functions, and analytic hierarchy process.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Identify uncertainties and multiple objectives in decision problems.(k)
2. Understand the behavioral aspects of risk attitudes. (k)
3. Structure and model complex decision problems. (e)
4. Apply appropriate techniques and methods to solve decision analysis problems (k)
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Reading
Problem Solving
Collaborating
Case Study/Scenarion Analysis
Assessment Methods and Criteria:
Test / Exam
Quiz
Case Studies / Homework
Assessment Methods and Criteria Others:
Recommended Reading
1. Clemen, R. T. , Reilly, T. (2004), Making Hard Decisions with Decision Tools, Duxbury/Thomson Learning.
2. Raiffa H. (1997), Decision Analysis: Introductory Lectures on Choices Under Uncertainty, Mcgraw-Hill.
3. Holloway, C. A. (1979), Decision Making Under Uncertainty: Models and Choices, Prentice-Hall.
4. Keeney, R. L., Raiffa, H. (1993), Decision with Multiple Objectives: Preferences and Value Tradeoffs. Cambridge University Press.
Required Reading
1. Course Materials
Learning Activities and Teaching Methods Others:
Student Workload:
Workload |
Hrs |
Course Readings |
30 |
Exams/Quizzes |
45 |
Case Study Analysis |
36 |
Course & Program Learning Outcome Matching: