| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Datamınıng and Busıness Intellıgence | YBS 357 | 5 | 2 + 0 | 2 | 5 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Doç.Dr. HALİL İBRAHİM CEBECİ |
| Dersi Verenler | Doç.Dr. HALİL İBRAHİM CEBECİ, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | Ensuring the students to comprehend the disciplines related to business intelligence cocenptually and to learn the fundamental concepts and techniques of business intelligence as well as its business applications |
| Dersin İçeriği | In the course, an introduction will be made in the field of business intelligence and after the introduction, information about data mining and the technological infrastructure of business intelligence (Data concept and Data warehouses) will be presented. Afterwards, data mining will be discussed and information about data mining methods will be presented. These methods will be evaluated practically with EXCEL and/or SPSS Modeller programs. In the last part of the course, Normative business intelligence approaches and Visual analytics will be discussed. Applications on these subjects will be carried out with the Tableau software. The course will be completed by giving general information about business intelligence and data mining trends and Big Data analytics. |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | To learn business intelligence concepts and system development and implementation process | Lecture, Question-Answer, Discussion, | Testing, Homework, |
| 2 | To acquire skills related to datawarehouse, OLAP, and data mining | Lecture, Question-Answer, Discussion, | Testing, Homework, |
| 3 | To learn web and text mining tools | Lecture, Question-Answer, Discussion, | Testing, Homework, |
| 4 | To understand the relationship between business performance management and business intelligence | Lecture, Question-Answer, Discussion, | Testing, Homework, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Introduction to Business Intelligence | Review of the related chapters of the lecture. |
| 2 | Business Intelligence and Decision Support Systems | Review of the related chapters of the lecture. |
| 3 | Datawarehouse and Datamart | Review of the related chapters of the lecture. |
| 4 | Visualization, Reporting and OLAP | Review of the related chapters of the lecture. |
| 5 | Data Mining 1 (Fundamentals and data mining process) | Review of the related chapters of the lecture. |
| 6 | Data Mining 2 (Statistics-based data mining techniques) | Review of the related chapters of the lecture. |
| 7 | Data Mining 3 (Machine learning-based data mining techniques) | Review of the related chapters of the lecture. |
| 8 | MID TERM EXAM | |
| 9 | Data Mining 4 (Artificial intelligence-based data mining techniques) | Review of the related chapters of the lecture. |
| 10 | Text Mining | Review of the related chapters of the lecture. |
| 11 | Web Mining | Review of the related chapters of the lecture. |
| 12 | Business Performance Management | Review of the related chapters of the lecture. |
| 13 | Business Intelligence Systems Development and Implementation | Review of the related chapters of the lecture. |
| 14 | Business Intelligence Applications | Review of the related chapters of the lecture. |
| Kaynaklar | |
|---|---|
| Ders Notu | Lecture Notes are presentations that will be uploaded to the system on a weekly basis. |
| Ders Kaynakları | 1-) Business Intelligence and Analytics: Systems for Decision Support 10e |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Can follow new and current technologies and evaluate them | X | |||||
| 2 | Can understand the operation of Corporate Information Systems and use these systems at a basic level | X | |||||
| 3 | Constructs numerical models of basic business problems. | X | |||||
| 4 | Solves modeled business problems with the help of information technologies and interprets the solutions | X | |||||
| 5 | Contributes to informatics oriented projects as a member of the team | X | |||||
| 6 | Effectively uses information technology tools that support teamwork in project management. | X | |||||
| 7 | Master basic business functions and information technologies and establishes the link between them | X | |||||
| 8 | Contributes to the design, development and implementation processes of corporate information systems. | X | |||||
| 9 | Can produce and present quality documentation for all kinds of projects, including entrepreneurship projects. | X | |||||
| 10 | Prepares informative, effective and interesting presentations and presents these presentations. | X | |||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 40 |
| 1. Ödev | 20 |
| 2. Ödev | 20 |
| 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 | 2 | 32 |
| Mid-terms | 1 | 10 | 10 |
| Quiz | 1 | 5 | 5 |
| Final examination | 1 | 15 | 15 |
| Performance Task (Application) | 2 | 10 | 20 |
| Toplam İş Yükü | 130 | ||
| Toplam İş Yükü / 25 (Saat) | 5,2 | ||
| Dersin AKTS Kredisi | 5 | ||