School of Engineering \ Computer Engineering
Course Credit
ECTS Credit
Course Type
Instructional Language
Programs that can take the course
Basic Data Mining Concepts, Data, Data Warehouse, Relationship Analysis. Clustering. Classification. Anomaly Detection. Sequential Rule Mining.
Textbook and / or References
Data Mining Concepts and Techniques. , 3rd Edition Morgan Kaufmann, 2006, J.
Han and M. Kamber, ISBN-10: 0133970779 ISBN-13: 9780123814791
The aim of this course is to understand the concepts and techniques of data mining; to be able to apply algorithms and approaches to solve real-life problems. Recent developments in the literature are followed.
1. Be knowledgeable about data mining concepts and techniques,
2. Understand data mining algorithms,
3. Gain the ability to solve real-life problems,
4. Use a data mining software,
5. Define a real-life data mining problem,
6. Design and implement a data mining application
Week 1: Data Mining Concepts
Week 2: Data Warehouse Modeling
Week 3: Association Rule Analysis
Week 4: Association Rule Analysis
Week 5: Clustering
Week 6: Clustering
Week 7: Classification
Week 8: Classification
Week 9: Sequential Rule Mining
Week 10: Project Presentations
Week 11: Anomaly Detection
Week 12: Anomaly Detection and Project Demos
| Tentative Assesment Methods |
| Activities |
Number |
Weight (%) |
| Course Attendance/Participation |
- |
- |
| Laboratory |
- |
- |
| Application |
- |
- |
| Homework |
4 |
20% |
| Project |
1 |
25% |
| Presentation |
- |
- |
| Field Work |
- |
- |
| Internship |
- |
- |
| Course Boards |
- |
- |
| Quiz |
- |
- |
| Midterm Exam |
1 |
20% |
| Final Exam |
1 |
35% |
|
Total |
100% |
| Tentative ECTS-Workload Table |
| Activities |
Number/Weeks |
Duration (Hours) |
Workload |
| Course Hours (first 6 weeks) |
6 |
4 |
24 |
| Course Hours (last 6 weeks) |
6 |
4 |
24 |
| Laboratory |
- |
- |
- |
| Application |
- |
- |
- |
| Homework |
4 |
5 |
20 |
| Project |
1 |
30 |
30 |
| Presentation |
- |
- |
- |
| Field Work |
- |
- |
- |
| Internship |
- |
- |
- |
| Course Boards |
- |
- |
- |
| Preparation for Quiz |
- |
- |
- |
| Preparation for Midterm Exam |
1 |
25 |
25 |
| Final Exam |
1 |
3 |
3 |
| Preparation for Final Exam |
1 |
35 |
35 |
| Study Hours Out of Class (preliminary work, reinforcement, etc.) |
12 |
2 |
24 |
| Total Workload | | |
185 |
| Total Workload / 30 | | |
185 / 30 |
| | |
|
| ECTS Credits of the Course | | |
6 |
|
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