| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Data Mınıng Applıcatıons | EBT 545 | 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. NİLÜFER YURTAY |
| Dersi Verenler | Prof.Dr. NİLÜFER YURTAY, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | It is aimed to teach data mining technics and thier applications in this course |
| Dersin İçeriği | Introduction to data minig, their definitions, backrground, operations, algorithms. Data mining applications and problems. Text minig, web mining. Examples. |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Expose relations in data heaps automatically. | Lecture, Question-Answer, Drilland Practice, Group Study, | Testing, Homework, Project / Design, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | General definitions | |
| 2 | Data warehouses and OLAP | |
| 3 | Data mining models | |
| 4 | Classification -decision trees, Classification statistic algorithms | |
| 5 | Classification distance algorithms, artificial neural networks | |
| 6 | Association rules and relation analysis | |
| 7 | Clustering- hierarchical methods | |
| 8 | Partitioning methods, Density based algorithms | |
| 9 | Grid based algorithms | |
| 10 | Data mining in servis sector | |
| 11 | Data mining in health sector | |
| 12 | Data mining in production sector | |
| 13 | Web mining | |
| 14 | Data mining in education sector |
| Kaynaklar | |
|---|---|
| Ders Notu | http://cs.sakarya.edu.tr/nyurtay |
| Ders Kaynakları | Silahtaroğlu,G., Veri Madenciliği, Papatya Yayınevi,2008 |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study | X | |||||
| 2 | ability to complete and implement limited or incomplete data by using the scientific methods. | X | |||||
| 3 | ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them | X | |||||
| 4 | ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process | X | |||||
| 5 | gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering | X | |||||
| 6 | ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process | X | |||||
| 7 | gain high level ability to define the required information and data | X | |||||
| 8 | ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations | X | |||||
| 9 | systematic and clear verbal or written transfer of the process and results of studies at national and international environments | X | |||||
| 10 | aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement | X | |||||
| 11 | aware of new and developing application of profession and ability to analyze and study on those applications | X | |||||
| 12 | ability to interpret engineering applications social and environmental dimensions and its compliance with the social environment | X | |||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 30 |
| 1. Ödev | 15 |
| 2. Ödev | 15 |
| 3. Ödev | 15 |
| 4. Ödev | 25 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 40 |
| 1. Final | 60 |
| 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 | 5 | 5 |
| Assignment | 2 | 20 | 40 |
| Final examination | 1 | 10 | 10 |
| Toplam İş Yükü | 151 | ||
| Toplam İş Yükü / 25 (Saat) | 6,04 | ||
| Dersin AKTS Kredisi | 6 | ||