| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Data Mining | YZM436 | Elective | Bachelor's degree | 4 | Spring | 5 |
Name of Lecturer(s)
Associate Prof. Dr. Mehmet Zeki KONYAR
Assistant Prof. Dr. Yasemin GÜLTEPE
Learning Outcomes of the Course Unit
1) Examines Data Mining Applications.
2) Uses data preprocessing techniques.
3) Applies clustering algorithms.
4) Applies classification algorithms.
5) Discovers associations between data.
6) Designs data warehouse.
7) Designs the distributed data warehouse.
8) Learns the rules of joining.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | High | Middle | Low | Middle | Middle | Low | Middle | Middle | Low | Low | Low | Low | |
| 2 | High | High | Low | Low | Low | Low | Low | Low | Middle | Low | Middle | Low | |
| 3 | High | High | Low | Low | Low | Low | Low | Middle | Low | Low | Middle | Low | |
| 4 | High | High | Low | Low | Low | Low | Low | Middle | Low | Low | Middle | Low | |
| 5 | High | High | Low | Low | Low | Low | Low | Middle | Low | Low | Middle | Low | |
| 6 | High | High | High | Middle | Middle | Middle | Low | Low | High | Low | Middle | Low | |
| 7 | High | High | High | Middle | Middle | Middle | Low | Low | High | Low | Middle | Low | |
| 8 | High | High | Low | Low | Low | Low | Low | Middle | Low | Low | Middle | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Developments in Decision Support Systems, Data Warehouse Environment, Data Warehouse Design, Data Warehouse and Technology, Distributed Data Warehouse, Erp and Data Warehouse, Data Mining Methodology, Overview of Data Mining Techniques, Aggregation Rules, Classification and Prediction, Cluster Analysis, Link Analysis, Basket Analysis.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required