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 |
Optimization is the search for the best and most effective solution, by collection of mathematical principles and methods used for solving quantitative problems in many disciplines, including natural sciences, management, engineering, economics, and business. There are many software tools available to solve optimization problems with different characteristics. The course gives insight into state-of-the-art optimization software packages that are commonly used to solve a wide range of mathematical programming models in which one seeks to minimize or maximize an objective function subject to a set of constraints. |
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 |
Jorge J. More, Stephen J. Wright, 1993, Optimization Software Guide, SIAM. |
Planned Learning Activities and Teaching Methods |
Course notes given by visual presentations and on board, applications in computer laboratory, in-class activities, discussions of journal articles, project presentations |
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 |
Midterm exam (30%) + Projects (20%) + Final exam (50%) |
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 declared |
Work Placement(s) |
None |
Workload Calculation |
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Contribution of Learning Outcomes to Programme Outcomes |
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