| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Determınıstıc Models In Operatıonal Research | ENM 503 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | YUKSEK_LISANS |
| Dersin Türü | Zorunlu |
| Dersin Koordinatörü | Prof.Dr. HARUN REŞİT YAZĞAN |
| Dersi Verenler | Prof.Dr. HARUN REŞİT YAZĞAN, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | Teaching deterministic models and solution methods |
| Dersin İçeriği | Introduction to linear programming, Sensitivity analysis, Duality, integer programming and solution techniques, industrial application |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Experience on the deterministic models | ||
| 2 | Experience on the solution of the deterministic models | ||
| 3 | Interpretation of the solution of deterministic models | ||
| 4 | Experience on software for the deterministic models |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to Linear Programming and modeling | |
| 2 | Solution techniques of models and interpretation of model parameters | |
| 3 | Sensitivity Analysis | |
| 4 | Sensitivity Analysis | |
| 5 | Duality | |
| 6 | Interpretation of Duality | |
| 7 | Solution of models with using software and interpretation of the results | |
| 8 | Solution of models with using software and interpretation of the results | |
| 9 | Integer Programming | |
| 10 | Integer Programming | |
| 11 | Integer Programming | |
| 12 | Advanced Topics in Linear Programming | |
| 13 | Revised Simplex Algorithm | |
| 14 | Dantzig-Wolfe Decomposition Algorithm |
| 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. Ödev | 10 |
| 2. Ödev | 10 |
| 3. Ödev | 10 |
| 4. Ödev | 10 |
| 5. Ödev | 10 |
| 6. Ödev | 10 |
| 1. Ara Sınav | 40 |
| 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 | 2 | 32 |
| Mid-terms | 1 | 10 | 10 |
| Assignment | 6 | 20 | 120 |
| Performance Task (Laboratory) | 1 | 30 | 30 |
| Final examination | 1 | 10 | 10 |
| Toplam İş Yükü | 250 | ||
| Toplam İş Yükü / 25 (Saat) | 10 | ||
| Dersin AKTS Kredisi | 6 | ||