Syllabus Application
Decision Analysis
IE 405
Faculty:
Faculty of Engineering and Natural Sciences
Semester:
Fall 2025-2026
Course:
Decision Analysis - IE 405
Classroom:
FASS-G018,FASS-G062
Level of course:
Undergraduate
Course Credits:
SU Credit:3.000, ECTS:6, Engineering:6
Prerequisites:
MATH 306
Corequisites:
Course Type:
Lecture
Instructor(s) Information
Ahmet Barış Balcıoğlu
- Email: balcioglu@sabanciuniv.edu
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. |
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| 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:
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Technology Requirements:
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