Information Systems Engineering | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code: | FET303 | ||||||||
Ders İsmi: | Optimization Techniques | ||||||||
Ders Yarıyılı: | Fall | ||||||||
Ders Kredileri: |
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Language of instruction: | Turkish | ||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Bölüm Seçmeli | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Öğr.Gör. REŞAT BUĞRA ERKARTAL | ||||||||
Course Lecturer(s): |
Asst. Prof. Dr. TAYMAZ AKAN |
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Course Assistants: |
Course Objectives: | This course aims to explain the basic concepts of optimization techniques to students in experimental way. |
Course Content: | The course covers the basic concepts of optimization, data preparation, descriptive methods and predictive methods, stochastic and deterministic modeling. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Main concepts in optimization | |
2) | Deterministic methods - Linear Programming | |
3) | Numeric methods 1 - Single Point iterations, Newton Raphson, Secant | |
4) | Numerical Methods 2 - Golden Section Method, Divided Difference | |
5) | Nonlinear Programming | |
6) | Nonlinear Programming 2 - Gradiant Decent | |
7) | MATLAB Practicies | |
8) | MIDTERM | |
9) | Integer Programming | |
10) | Stokastik Programming | |
11) | Heuristics 1 - Tabu Search | |
12) | Heuristics 2 - Genetic Algorithm | |
12) | Heuristics 2 - Genetic Algorithm | |
13) | Solving Approaches to main Optimization Problems - Travelling Salesman Example | |
14) | MATLAB Applications | |
15) | FINAL |
Course Notes / Textbooks: | Optimizasyon Yöntemleri ve Matlab Uygulamaları- Yazar: Nurhan Karaboğa Yayınevi: Nobel Akademik Yayıncılık Ders Notları |
References: |
Ders Öğrenme Kazanımları | 1 |
3 |
4 |
5 |
2 |
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Program Outcomes |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution |
Semester Requirements | Number of Activities | Level of Contribution |
Midterms | 1 | % 50 |
Final | 1 | % 50 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
total | % 100 |