| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Operatıonal Research III (Nonlınear Models) | ENM 312 | 6 | 3 + 0 | 3 | 5 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Zorunlu |
| Dersin Koordinatörü | Arş.Gör.Dr. FURKAN YENER |
| Dersi Verenler | Prof.Dr. HARUN REŞİT YAZĞAN, Prof.Dr. ÖZER UYGUN, Doç.Dr. ALPER KİRAZ, |
| Dersin Yardımcıları | Res.Asst. Sena Kır, Res.Asst.Alper Kiraz, Res.Asst.Murat Sarı |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | Providing students with the basics of modeling and solution techniques |
| Dersin İçeriği | How can a model can be settled to achieve specified objectives with considering enterprise limited resource constraints and determination of the solution techniques according structure of the model |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | An ability of determining the enterprise resources | Lecture, Discussion, Drilland Practice, | Testing, Homework, |
| 2 | Comprehending structure of the linear model | Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, Problem Solving, | Testing, Homework, |
| 3 | Comprehending solution techniques of the linear models | Lecture, Question-Answer, Discussion, Drilland Practice, Motivations to Show, | Testing, Homework, |
| 4 | An ability of determining the optimization problem | Lecture, Question-Answer, Discussion, Case Study, Problem Solving, | Testing, Homework, |
| 5 | An ability of establishing nonlinear model | Lecture, Discussion, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, |
| 6 | Comprehending solution techniques of the nonlinear model | Lecture, Question-Answer, Discussion, Case Study, Problem Solving, | Testing, Homework, |
| 7 | Examples on nonlinear problems | Lecture, Question-Answer, Drilland Practice, Case Study, Lab / Workshop, Problem Solving, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to Non- Linear Models | |
| 2 | Concav and Convex Functions | |
| 3 | Newton Method | |
| 4 | Golden Section Search Metod | |
| 5 | Gradyan (Steepest Descent ) Metod | |
| 6 | Lagrange Metod | |
| 7 | Kuhn-Tucker Conditions | |
| 8 | Quadratic Programming | |
| 9 | Separable Programming | |
| 10 | Midterm Exam | |
| 11 | Convex Programming(Frank-Wolf Alg.) | |
| 12 | Non-Convex Programming(Barrier Method-SUMT) | |
| 13 | Dinamic Programming(Probabilistic) | |
| 14 | Goal programming |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. | X | |||||
| 2 | Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. | X | |||||
| 3 | Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods. | X | |||||
| 4 | Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. | X | |||||
| 5 | Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. | X | |||||
| 6 | Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually | X | |||||
| 7 | Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language | ||||||
| 8 | Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology | ||||||
| 9 | Engineering graduates with well-structured responsibilities in profession and ethics | ||||||
| 10 | Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development. | ||||||
| 11 | Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions. | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ödev | 15 |
| 1. Kısa Sınav | 15 |
| 2. Kısa Sınav | 15 |
| 1. Ara Sınav | 55 |
| 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 | 15 | 15 |
| Quiz | 2 | 10 | 20 |
| Assignment | 1 | 10 | 10 |
| Final examination | 1 | 15 | 15 |
| Toplam İş Yükü | 156 | ||
| Toplam İş Yükü / 25 (Saat) | 6,24 | ||
| Dersin AKTS Kredisi | 5 | ||