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
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

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) ARAŞTIRMA GÖREVLİSİ DOKTOR ŞURA TOPTANCI
Mode of Delivery Face to face
Prerequisites Probability, Statistics
Courses Recomended
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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