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Language of Instruction
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English
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Level of Course Unit
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Master's Degree
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Department / Program
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INDUSTRIAL ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Compulsory
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Course Delivery Method
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Face To Face
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Objectives of the Course
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The course introduces the state of the art of risk analysis, a rapidly growing field with important applications in engineering, science, manufacturing, business, healthcare, homeland security, management, and public policy. How to quantify risk and construct probabilities for real-world decision-making problems, including a host of institutional, organizational, and political issues are discussed with real-world case studies. Sample issues to study are risk management and assessment process, decision making with single and multiple objectives, fault trees, terrorism and extreme event risk modeling.
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Course Content
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? Systems Engineering and Mathematical Models
? (Single and Multi-Objective) Decision Tree Analysis
? Multi-Objective Decision Making, Multi-Objective Risk Impact Analysis
? Hierarchical Holographic Modeling and Risk Filtering, Ranking and Management
? Analysis of fault trees, event trees and failure mode effect and analysis
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Course Methods and Techniques
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The course will be held in class face-to-face. CANVAS will be used for all announcements, course materials, links to additional lecture videos and other materials. You are responsible to follow the CANVAS regularly and study the lecture notes and watch the shared video links before the class.
We will be using various tools for active learning to take place. This is also a student-driven course. It is your responsibility to participate actively in class discussions. You are not graded on whether you agree or disagree with the instructor or with each other. Evaluation of class participation will be based on your ability to raise and answer important issues, contribute ideas or insights, build upon the ideas of others, ask questions to presenters, etc.
By actively participating in the class discussions, you can sharpen your insights and those of your classmates.
Both the quality and frequency of your participation will count towards your active participation grade. Please note that high-quality or relevant contributions will earn you a higher participation grade than frequent but insignificant contributions. Also, you will not get any class participation points for just being present in class. Class attendance is a necessary but not sufficient condition for scoring highly on class participation.
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Prerequisites and co-requisities
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None
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Course Coordinator
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Asist Prof.Dr. Rukiye Kaya https://avesis.agu.edu.tr/rukiye.kaya rukiye.kaya@agu.edu.tr
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Name of Lecturers
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None
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Chelst K, Canbolat YB. Value-Added Decision Making for Managers, CRC Press Taylor and Francis Group, 2012.
? Kirkwood CW. Strategic Decision Making: Multiobjective Decision Analysis with Spreadsheets, Duxbury Press, Belmont, CA, 1997.
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CANVAS
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