Description of Individual Course Units
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Offered By |
Graduate School of Natural and Applied Sciences |
Level of Course Unit |
Second Cycle Programmes (Master's Degree) |
Course Coordinator |
PROFESSOR DOCTOR ADIL BAYKASOĞLU |
Offered to |
INDUSTRIAL ENGINEERING - NON THESIS |
Course Objective |
The main objective of this course is to teach decision making models will be based multi-criteria and multi-objective emphasize will be given on the relevance of these models to a practical situation as well as theoretical properties under appropriate sets of assumptions. This course will teach basics of MCDM and MOO. It will discuss and introduce several MCDM-MOO techniques like AHP,TOPSIS, ELECTRE, ANP, PROMETHEE, FCM, GRA, Pareto Optimality, Utility Methods etc. Applications of these methods to practical problems will also be presented. |
Learning Outcomes of the Course Unit |
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Mode of Delivery |
Face -to- Face |
Prerequisites and Co-requisites |
None |
Recomended Optional Programme Components |
None |
Course Contents |
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Recomended or Required Reading |
Saaty, T., Multicriteria Decision Making: The Analytic Hierarchy Process, RWS Pub., 1990 |
Planned Learning Activities and Teaching Methods |
Class presentations, case studies and practical applications |
Assessment Methods |
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*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable. |
Further Notes About Assessment Methods |
None |
Assessment Criteria |
To be announced. |
Language of Instruction |
English |
Course Policies and Rules |
To be announced. |
Contact Details for the Lecturer(s) |
Prof.Dr. Adil Baykasoğlu |
Office Hours |
To be announced. |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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