| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Decısıon Support Systems | ENF 517 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | YUKSEK_LISANS |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Doç.Dr. HALİL İBRAHİM CEBECİ |
| Dersi Verenler | |
| Dersin Yardımcıları | Assist. Prof. Dr. Abdulkadir Hızıroğlu |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | To provide students sufficient knowledge on decision making process and fundamental topics of decision support systems, to make them comprehend the issues regarding intelligent decision support systems and associated technologies as well as their business applications. |
| Dersin İçeriği | Decision makingh process, decision support systems, intelligent decision support systems and technologies, business applications of (intelligent) decision support systems |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Gets information about the decision-making process. | Lecture, Question-Answer, Discussion, | Testing, Oral Exam, |
| 2 | Learns the basic concepts, classification and components of decision support systems. | Discussion, Question-Answer, Lecture, | Oral Exam, Testing, |
| 3 | Learns about the use of decision support systems in businesses. | Discussion, Question-Answer, Lecture, | Oral Exam, Testing, |
| 4 | Learns the issues related to intelligent decision support systems, gets the infrastructure to design intelligent decision support systems. | Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, | Project / Design, Oral Exam, Testing, Homework, |
| 5 | Learns fuzzy logic and business applications. | Discussion, Question-Answer, Lecture, | Oral Exam, Testing, |
| 6 | Learns artificial neural networks and their corporate applications. | Discussion, Question-Answer, Lecture, | Oral Exam, Testing, |
| 7 | Understands genetic algorithms and their potential applications. | Discussion, Question-Answer, Lecture, | Oral Exam, Testing, |
| 8 | Gains knowledge about other intelligent systems. | Discussion, Question-Answer, Lecture, | Oral Exam, Testing, |
| 9 | Discussion, Question-Answer, Lecture, | Oral Exam, Testing, | |
| 10 | Discussion, Question-Answer, Lecture, | Oral Exam, Testing, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Decision making process and basic concepts | |
| 2 | System concept and decision support systems | |
| 3 | Classification of decision support systems | |
| 4 | Components of decision support systems | |
| 5 | Decision support systems business applications | |
| 6 | Successful decision support systems examples | |
| 7 | Intelligent decision support systems 1 | |
| 8 | Intelligent decision support systems 2 | |
| 9 | Fuzzy logic | |
| 10 | Fuzzy logic applications in businesses | |
| 11 | An intelligent decision support systems case study | |
| 12 | Artificial neural networks | |
| 13 | Artificial neural networks case study | |
| 14 | Genetic algorithms and other intelligent techniques |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | X | ||||||
| 2 | X | ||||||
| 3 | X | ||||||
| 4 | X | ||||||
| 5 | X | ||||||
| 6 | X | ||||||
| 8 | X | ||||||
| 9 | X | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 40 |
| 1. Ödev | 40 |
| 1. Performans Görevi (Seminer) | 20 |
| 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 | 15 | 15 |
| Assignment | 1 | 30 | 30 |
| Performance Task (Seminar) | 1 | 15 | 15 |
| Toplam İş Yükü | 140 | ||
| Toplam İş Yükü / 25 (Saat) | 5,6 | ||
| Dersin AKTS Kredisi | 6 | ||