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 |
Teaching meta-heuristic optimization techniques to students with theoretical, computer application and case studies. In this course metaheuristic optimization and its possible implementation techniques will be presented. Several meta-heuristic techniques like simulated annealing, tabu search, genetic algorithms, and scatter search will be presented through their implementations in various languages. In the course applications of these techniques will also be provided along with case studies. |
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 |
1-Metaheuristic Search Concepts, Günther Zäpfel, Roland Braune, Michael Bögl, Springer and Verlag, Berlin Heidelberg 2010 |
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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