| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Busıness Intellıgence | YBS 510 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | YUKSEK_LISANS |
| Dersin Türü | Zorunlu |
| Dersin Koordinatörü | Doç.Dr. HALİL İBRAHİM CEBECİ |
| Dersi Verenler | Doç.Dr. HALİL İBRAHİM CEBECİ, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | Is to introduce the methods benefited in intelligent system applications |
| Dersin İçeriği | Introduction To Artificial Intelligence, Natural-Artificial İntelligence, Expert Systems, Learning, Artificial Neural Networks, Genetic Algorithms, Fuzzy Logic, İnteligent Agents |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Intelligent systems and analysis on its importance | Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, | Testing, Homework, |
| 2 | Criticising the kinds of intelligent systems and evaluating with comparison | Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, | Testing, Homework, |
| 3 | Introduction , definition, depiction and comparison of the concepts of intelligent systems and Technologies from the enterprise perspective | Lecture, Question-Answer, Discussion, Drilland Practice, | Testing, Homework, |
| 4 | Criticising the differences between intelligent and information systems and detecting the patterns | Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, | Testing, Homework, |
| 5 | Database design and creation | Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, | Testing, Homework, |
| 6 | Analysis on the applications of intelligent systems to business environment , criticising in accordance with the criteria and providing solutions. | Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to Artificial Intelligence and basic concepts: What is Artificial Intelligence? | |
| 2 | The concept of natural and artificial intelligence and Decision Support Sytems | |
| 3 | The features of intelligent systems and intelligent decision support systems | |
| 4 | The basic components of intelligent decision support system | |
| 5 | Expert systems-1 | |
| 6 | Fuzzy logic | |
| 7 | Decision Support Systems | |
| 8 | MID TERM EXAM | |
| 9 | Learning | |
| 10 | Artificial Neural Networks-1 | |
| 11 | Artificial Neural Networks-2 | |
| 12 | Genetic Algorithms | |
| 13 | Other biologic heuristic techniques | |
| 14 | Intelligent agents |
| Kaynaklar | |
|---|---|
| Ders Notu | |
| Ders Kaynakları | |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Can use next generation computing-based business analytics techniques and apply these methods to business problems | ||||||
| 2 | Offers developed solutions with information technologies such as Business Intelligence tools | ||||||
| 3 | Makes the routine decisions necessary for the execution of operational works with the help of information technologies. | ||||||
| 4 | Makes medium and long term strategic decisions with the help of information systems. | ||||||
| 5 | Can transform business processes into electronic form with the help of information systems | ||||||
| 6 | Contributes to the sustainability of processes with electronic transformation. | ||||||
| 7 | Makes a basic literature search on the field. | ||||||
| 8 | Knows about research methodology and applies this knowledge to informatics issues. | ||||||
| 9 | Leading the working group by communicating within the team in teamwork. | ||||||
| 10 | Effectively uses group communication technologies in IT projects management. | ||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 50 |
| 1. Ödev | 15 |
| 2. Ödev | 15 |
| 3. Ödev | 20 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 60 |
| 1. Final | 40 |
| 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 | 5 | 80 |
| Mid-terms | 1 | 5 | 5 |
| Quiz | 2 | 3 | 6 |
| Final examination | 1 | 5 | 5 |
| Toplam İş Yükü | 144 | ||
| Toplam İş Yükü / 25 (Saat) | 5,76 | ||
| Dersin AKTS Kredisi | 6 | ||