HOUR/WEEK LEVEL Credit ECTS TYPE LANGUAGE Theory Practice Laboratory COMPULSORY ELECTIVE MSc 3 0 0 3 7.5 Turkish ( ) ( x ) CREDIT DISTRIBUTION Knowledge in the discipline Basic Science Basic Engineering [if it contains considerable design content, mark with ()] x ASSESSMENT CRITERIA Contribution Evaluation Type Number ( % ) 1 20 Midterm Quiz 1 10 Homework 1 40 SEMESTER ACTIVITIES Project Report Seminar Other ) 30 Final Examination PREREQUISITE(S) Multiobjective programming examples, Decision and Objective Space, Order Cones, Efficient and nondominated solutions. Scalarization Methods, SHORT COURSE CONTENT Nonscalarizing Methods. Solving multiobjective programming models by using software such as Lingo or Gams and interpretation of solution reports. The main aim of this course is to give information about fundamentals of COURSE OBJECTIVES multiobjective programming and solution techniques of multiobjective programming. By the end of this module students will be able to modeling and solving of COURSE CONTRIBUTION TO THE multiobjective programming problems by using LINGO or GAMS. They will PROFESSIONAL EDUCATION also be able to interpret the solution reports. Notification the modelling and solving of multiobjective decision problems, application of modellling and solving of real life problems, LEARNING OUTCOMES OF THE COURSE comments of solution reports obtained by GAMS or LINGO, anayzing of different solution methods. Matthias Ehrgott, Multicriteria Optimization, Second Edition, Springer, 2005. TEXTBOOK Vira Chankong and Yacov Y.Haimes, Multiobjective Decision Making: Theory OTHER REFERENCES and Methodology, Elsevier Publishing, 1983.
LEVEL HOUR/WEEK Credit ECTS TYPE LANGUAGE Theory Practice Laboratory MSc 3 0 0 3 7.5 COMPULSORY ( ) ELECTIVE ( x ) Turkish CREDIT DISTRIBUTION Basic Science Basic Engineering Knowledge in the discipline [if it contains considerable design content, mark with ()] x ASSESSMENT CRITERIA SEMESTER ACTIVITIES Evaluation Type Number Contribution ( % ) Midterm 1 20 Quiz Homework 1 10 Project 1 40 Report Seminar Other ) Final Examination 30 PREREQUISITE(S) SHORT COURSE CONTENT Multiobjective programming examples, Decision and Objective Space, Order Cones, Efficient and nondominated solutions. Scalarization Methods, Nonscalarizing Methods. Solving multiobjective programming models by using software such as Lingo or Gams and interpretation of solution reports. COURSE OBJECTIVES The main aim of this course is to give information about fundamentals of multiobjective programming and solution techniques of multiobjective programming. COURSE CONTRIBUTION TO THE PROFESSIONAL EDUCATION By the end of this module students will be able to modeling and solving of multiobjective programming problems by using LINGO or GAMS. They will also be able to interpret the solution reports. LEARNING OUTCOMES OF THE COURSE Notification the modelling and solving of multiobjective decision problems, application of modellling and solving of real life problems, comments of solution reports obtained by GAMS or LINGO, anayzing of different solution methods. TEXTBOOK Matthias Ehrgott, Multicriteria Optimization, Second Edition, Springer, 2005. OTHER REFERENCES Vira Chankong and Yacov Y.Haimes, Multiobjective Decision Making: Theory and Methodology, Elsevier Publishing, 1983.
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