Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Engineering
  • Department of Industrial Engineering
  • Course Structure Diagram with Credits
  • Decision Analysis
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  • Description
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  • Course's Contribution to Prog.
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Course Introduction Information

Code - Course Title ENM442 - Decision Analysis
Course Type Area Elective Courses
Language of Instruction İngilizce
Laboratory + Practice 3+0
ECTS 4.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ŞURA TOPTANCI
Mode of Delivery Face to face
Prerequisites Probability, Statistics
Courses Recomended
Required or Recommended Resources Refail Kasımbeyli, Lecture Notes on Decision Theory, Izmir University of Economics, 2011. Clemen, R.T. Making Hard Decisions. An Introduction to Decision Analysis. Duxbury Press, 2nd edition.Howard Raiffa, Decision Analysis, Addison-Wesley.Wayne L. Winston, Operations Research. Applications and Algorithms, Duxbury Press, Belmont, California, 1994.Frederick S. Hillier, Gerald J. Lieberman, Introduction to Operations Research, Ninth Edition, 2010 Mc Graw-Hill, ISBN 978 0-07-337629-5.
Recommended Reading List
Assessment methods and criteria 1 midterm, 3 homeworks, 1 final exam
Work Placement -
Sustainability Development Goals

Content

Weeks Topics
Week - 1 EN:Introduction to decision theory, decision environment.
Week - 2 EN: Elements of the decision-making process.
Week - 3 EN: Classification of decision problems. Selection of decision rule.
Week - 4 EN: Decision making under uncertainty.
Week - 5 EN: Decision making under uncertainty.
Week - 6 EN: Decision making in a risk environment.
Week - 7 EN: Utility theory.
Week - 8 EN:Construction of utility functions for non-monetary attributes. Axioms of utility theory.
Week - 9 EN: Utility functions in the case of risk-seeking attitudes.
Week - 10 EN: Decision trees. Use of decision trees in cases of certainty, uncertainty, and risk.
Week - 11 EN: Decision trees. Use of decision trees in cases of certainty, uncertainty, and risk.
Week - 12 EN: Perfect and imperfect information. Expected value of information.
Week - 13 EN: Use of additional information. Bayes decision rule.
Week - 14 EN: Introduction to decision making in a multi-criteria environment and goal programming.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Team/Group Work
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • True to core values
  • Questoning
  • Effective use of a foreign language
  • Work in teams
  • Use time effectively
  • Eleştirel düşünebilme
  • Problem solving
  • Applying theoretical knowledge into practice
  • Information Management
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Homework 1 20
Final Exam 1 50
Toplam (%) 100
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