COURSE DESCRIPTION AND APPLICATION INFORMATION

Course Name Code Semester T+A+L (hour/week) Type (C / O) Local Credit ECTS
Decision Analysis INE 409 Fall-Spring 03+00+00 Elective 3 6
Academic Unit: Industrial Engineering
Mode of Delivery: Face to face
Prerequisites: None
Language of Instruction: English
Level of Course Unit: Undergraduate
Course Coordinator: - -
Course Objectives: This course aims to introduce the main concepts and techniques used in the analysis and solution of decision problems under uncertainty, risk, and conflicting objectives.
Course Contents: The course consists of three main parts. The first part is concerned with structuring decision problems, introduces influence diagrams and decision trees, the solution procedures, and sensitivity analysis. The second part deals with modeling uncertainty, examines various approaches to assess uncertainty in decision contexts, and offers a way to assess the value of information. The third part focuses on modeling preferences, risk attitudes, and the tradeoffs between multiple objectives. Introduced concepts and techniques are implemented in decision-analysis software and exemplified with real-life cases in various contexts.
Learning Outcomes of the Course Unit (LO):
  • 1- Learn the basic concepts used in modeling decision problems under uncertainty, risk, and conflicting objectives.
  • 2- Learn to mathematically formulate, to systematically analyze decision problems.
  • 3- Learn to elicit the impact of uncertainty and to assess the value of information.
  • 4- Understand the impact of risk attitudes and conflicting objectives.
  • 5- Gain experience with a decision-analysis software.
Planned Learning Activities and Teaching Methods: Lectures, in-class and computer assignments, team project, exams


WEEKLY SUBJECTS AND RELATED PREPARATIONS

WeekSubjectsRelated Preperation
1 Introduction to Decision Analysis
2 Modeling Decisions
3 Solving Decision Trees
4 Sensitivity Analysis
5 Modeling Uncertainty
6 Value of Information
7 Midterm Exam
8 Examples with DecisionTools
9 Examples with DecisionTools
10 Examples with DecisionTools
11 Risk Attitudes & Utility Theory
12 Risk Attitudes & Utility Theory
13 Conflicting Objectives & Multiattribute Utility Theory
14 Examples with DecisionTools


REQUIRED AND RECOMMENDED READING

R. T. Clemen and T. Reilly, Making Hard Decisions with Decision Tools, 3rd Edition, Cengage Learning, 2013


OTHER COURSE RESOURCES



ASSESSMENT METHODS AND CRITERIA

Semester RequirementsNumberPercentage of Grade (%)
Project 1 20
Homework Assignments 5 20
Midterms / Oral Exams / Quizes 1 25
Final Exam 1 35
Total: 8 100


WORKLOAD

EventsCountDuration (Hours)Total Workload (hour)
Course Hours14342
Project13030
Homework Assigments5210
Extra-Class Activities (reading,individiual work, etc.)14228
Midterms / Oral Exams / Quizes12020
Final Exam12020
Total Workload (hour):150


THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)

# PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12
LO1                        
LO2                        
LO3                        
LO4                        
LO5