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IE 405
Decision Analysis

Faculty Faculty of Engineering and Natural Sciences
Semester Spring 2025-2026
Course IE 405 - Decision Analysis
Time/Place
Time
Week Day
Place
Date
11:40-13:30
Tue
FENS-L045
Feb 16-May 22, 2026
12:40-13:30
Wed
FASS-G018
Feb 16-May 22, 2026
Level of course Undergraduate
Course Credits SU Credit:3, ECTS:6, Engineering:6
Prerequisites MATH 306
Corequisites
Course Type Lecture

Instructor(s) Information

Ahmet Barış Balcıoğlu

Course Information

Catalog Course Description
Introduction to the theory and practice of decision processes under risk; use of decision trees and influence diagrams in solving decision-making problems; assessing subjective probabilities in modeling uncertainty; Bayes' theorem; value of information; attitudes towards risk; utility theory; multi criteria decision making; analytic hierarchy process; auctions.
Course Learning Outcomes:
1. Determine the objectives, alternatives and uncertainties to model a decision problem and solve it using various techniques such as decision trees and influence diagrams.
2. Calculate the values of perfect and imperfect information.
3. Apply single and multi-attribute utility models.
4. Implement Analytic Hierarchy Process (AHP).
5. Describe the fundamental decision heuristics and related biases.
6. Develop computational decision making skills by using programming languages
Course Objective
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Course Materials

Resources:
Technology Requirements:

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