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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of INDUSTRIAL ENGINEERING
Industrial Engineering-Masters with Thesis
Course Catalog
https://www.ktu.edu.tr/endustri
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of INDUSTRIAL ENGINEERING / Industrial Engineering-Masters with Thesis
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ENDL5130Decision Analysis3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseSecond Cycle
Status Elective
DepartmentDEPARTMENT of INDUSTRIAL ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Practical
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDoç. Dr. Gökhan ÖZÇELİK
Co-Lecturer
Language of instructionTurkish
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 OutcomesCTPOTOA
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 2,51,5,6
PO - 2 : model and structure decision making problem2,51,5,6
PO - 3 : give a decision under certainity, uncertainity, and risk by using suitable decision making techniques2,51,5,6
PO - 4 : make sensitivity analysis of decisions2,51,5,6
PO - 5 : know general information on application of decision theory 2,51,5,6
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

 
Contents of the Course
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)
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Introduction to decision theory
 Week 2Classification of decision making problems
 Week 3Structuring and modeling decision making problems
 Week 4Decision under risk, the expected value, Bayesian
 Week 5Decision making under uncertainty: dominated actions, maximin, maximax, minimax, equally likelihood, criterion of realism
 Week 6Techniques based on utility or value (Simple Additive Weighting, Weighted Product, TOPSIS, AHP-Utility Theory, Decision Trees
 Week 7Outranking Techniques (ELECTRE and PROMETHEE)
 Week 8Midterm Exam
 Week 9Sensitivity Analysis in Decision Making Problems
 Week 10Decision Support Systems
 Week 11Application: Supplier Selection
 Week 12Application: Perosonnel Management
 Week 13Application: Project Management
 Week 14Application: Product Design
 Week 15Application: Facility Location Selection
 Week 16Fianl Exam
 
Textbook / Material
 
Recommended Reading
1İlker Topçu, Çok Ölçütlü Sorun Çözümüne Yönelik bir Bütünleşik Karar Destek Modeli, Doktora tezi, ITU, 2000
2Wayne L Wınston, Operation Research, Applications and Algorithms, Fourth Edition, Thomson Brooks/Cole, Canada 2004
3Michael d. Resnik, Choices an Introduction to Decision Theory, University of Minnesota Press, London 1987
4Gwo-Hshiung Tzeng, Jih-Jeng Huang, Multiple Attribute Decision Making, Methods and Applications, CRC Press 2011
 
Method of Assessment
Type of assessmentWeek NoDate

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 workDuration (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 load160