| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Genetıc Algorıthms | ENM 526 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | YUKSEK_LISANS |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Prof.Dr. SEMRA BORAN |
| Dersi Verenler | |
| Dersin Yardımcıları | Res.Assist.Ünal Atakan Kahraman, Res.Asst. Alper Kiraz |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | To provide to learn Genetic Algorithm techniques. |
| Dersin İçeriği | Introduction to Genetic Algorithm, The reasons of use Genetic Algorithm, difference between Genetic Algorithm and the other methods, Fundamental concept of Genetic Algorithm(GA), Genetic Operators , What does GA work?, the applications of Engineering problems, Use of Supported Computer GA for the problems, Perform graphics, GA example with Multiple hills. |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | To know Genetic Algorithm techniques and need it | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, |
| 2 | Able to apply Genetic Algorithm techniques | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, |
| 3 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, | |
| 4 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, | |
| 5 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, | |
| 6 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, | |
| 7 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, | |
| 8 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, | |
| 9 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, | |
| 10 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, | |
| 11 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, | |
| 12 | Lecture, Question-Answer, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to Genetic Algorithm | |
| 2 | The reasons of use Genetic Algorithm | |
| 3 | Difference between Genetic Algorithm and the other methods | |
| 4 | Fundamental concept of Genetic Algorithm(GA) | |
| 5 | Genetic Operators | |
| 6 | The Working GA | |
| 7 | What does GA work? | |
| 8 | The applications of Engineering problems | |
| 9 | Use of Supported Computer GA for the problems | |
| 10 | The important and application of Mutation Operator | |
| 11 | What are the Code solution and Perform graphics? | |
| 12 | Use of Supported Computer GA for the problems | |
| 13 | Maintenance Scheduling with GA | |
| 14 | GA example with Multiple hills |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | The aim of the course is to reach the information in depth and in depth by conducting scientific research in the field of engineering, to evaluate, interpret and apply the information. | ||||||
| 2 | Ability to complete and apply knowledge by scientific methods using limited or missing data; to integrate information from different disciplines. | ||||||
| 3 | To be able to construct engineering problems, develop methods to solve them and apply innovative methods in solutions. | ||||||
| 4 | Ability to develop new and original ideas and methods; develop innovative solutions in system, part or process designs. | ||||||
| 5 | Ability to design and apply analytical, modeling and experimental research; to analyze and interpret complex situations encountered in this process. | ||||||
| 6 | Identify the information and data needed, reach them and evaluate them at an advanced level. | ||||||
| 7 | Leadership in multi-disciplinary teams, developing solutions to complex situations and taking responsibility. | ||||||
| 8 | To be able to convey the process and results of his / her studies systematically and clearly in written or oral form in national and international environments in or out of that field. | ||||||
| 9 | Interpreting comprehensive information about modern techniques and methods applied in engineering and their limits. | ||||||
| 10 | Awareness about new and developing practices of the profession; to examine and learn them when necessary. | ||||||
| 11 | To understand the social and environmental dimensions of engineering applications and to adapt to the social environment. | ||||||
| 12 | To observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities. | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 60 |
| 1. Ödev | 10 |
| 2. Ödev | 10 |
| 1. Sözlü Sınav | 10 |
| 1. Performans Görevi (Seminer) | 10 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 3 | 48 |
| Mid-terms | 1 | 10 | 10 |
| Quiz | 1 | 6 | 6 |
| Assignment | 2 | 16 | 32 |
| Performance Task (Laboratory) | 1 | 15 | 15 |
| Toplam İş Yükü | 159 | ||
| Toplam İş Yükü / 25 (Saat) | 6,36 | ||
| Dersin AKTS Kredisi | 6 | ||