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ENDL5130 | Decision Analysis | 3+0+0 | ECTS:7.5 | Year / Semester | Fall Semester | Level of Course | Second Cycle | Status | Elective | Department | DEPARTMENT of INDUSTRIAL ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | Face to face, Practical | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Doç. Dr. Gökhan ÖZÇELİK | Co-Lecturer | | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The main aim of this course is to structure and model decision making problems, to give a decision under uncertainty and risk, and to present decision making tools |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | know main terms and concepts of decision theory and classify decision making problems
| 2,5 | 1,5,6 | PO - 2 : | model and structure decision making problem | 2,5 | 1,5,6 | PO - 3 : | give a decision under certainity, uncertainity, and risk by using suitable decision making techniques | 2,5 | 1,5,6 | PO - 4 : | make sensitivity analysis of decisions | 2,5 | 1,5,6 | PO - 5 : | know general information on application of decision theory | 2,5 | 1,5,6 | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | |
ntroduction to decision theory, Classification of decision making problems, Structuring and modelling decision making problems, Decision under risk and uncertainty (dominated actions, maximin, maximax, minimax, equally likelihood, criterion of realism),Techniques based on utility or value (Simple Additive Weighting, Weighted Product, TOPSIS, AHP-Utility Theory, Decision Trees), Outranking Techniques (ELECTRE and PROMETHEE), Sensitivity Analysis, and Aplications (Decision Support Systems, Facility Location Selection, Personnel Management, Project Management, Supplier Selection, Product Design) |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Introduction to decision theory | | Week 2 | Classification of decision making problems | | Week 3 | Structuring and modeling decision making problems | | Week 4 | Decision under risk, the expected value, Bayesian | | Week 5 | Decision making under uncertainty: dominated actions, maximin, maximax, minimax, equally likelihood, criterion of realism | | Week 6 | Techniques based on utility or value (Simple Additive Weighting, Weighted Product, TOPSIS, AHP-Utility Theory, Decision Trees | | Week 7 | Outranking Techniques (ELECTRE and PROMETHEE) | | Week 8 | Midterm Exam | | Week 9 | Sensitivity Analysis in Decision Making Problems | | Week 10 | Decision Support Systems | | Week 11 | Application: Supplier Selection | | Week 12 | Application: Perosonnel Management | | Week 13 | Application: Project Management | | Week 14 | Application: Product Design | | Week 15 | Application: Facility Location Selection | | Week 16 | Fianl Exam | | |
1 | İlker Topçu, Çok Ölçütlü Sorun Çözümüne Yönelik bir Bütünleşik Karar Destek Modeli, Doktora tezi, ITU, 2000 | | 2 | Wayne L Wınston, Operation Research, Applications and Algorithms, Fourth Edition, Thomson Brooks/Cole, Canada 2004 | | 3 | Michael d. Resnik, Choices an Introduction to Decision Theory, University of Minnesota Press, London 1987 | | 4 | Gwo-Hshiung Tzeng, Jih-Jeng Huang, Multiple Attribute Decision Making, Methods and Applications, CRC Press 2011 | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 20/11/2012 | 2 | 25 | In-term studies (second mid-term exam) | 11 | 7/12/2012 | | 15 | Presentation | 14 | 25/12/2012 | | 10 | End-of-term exam | 16 | | | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Sınıf dışı çalışma | 3 | 14 | 42 | Arasınav için hazırlık | 2 | 7 | 14 | Arasınav | 2 | 1 | 2 | Uygulama | 3 | 10 | 30 | Dönem sonu sınavı için hazırlık | 4 | 7 | 28 | Dönem sonu sınavı | 2 | 1 | 2 | Total work load | | | 160 |
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