| Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
|---|---|---|---|---|---|
| BIL421 | DATA MINING | 5 | 3 | 3 | 6 |
Objectives and Contents |
|
|---|---|
| Objectives: | The aim of this course is to teach the concepts of Data Mining, Data Preparation, Techniques, Statistical Learning Theory (Naive Bayes), Clustering Methods (K-Means, Hierarchical), Decision Trees and Decision Rules, and Association Rules. |
| Content: | This course covers topics related to extracting useful information from data in line with the objectives of data mining, using discovered knowledge to help explain the current state, and predicting future occurrences. |