
| Course Code | : BİS532 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 2 |
To develop an understanding of the strengths and limitations of popular data mining techniques and to be able to identify promising statistical applications of data mining.
The concepts, algorithms, techniques, data preprocessing, design and implementation of data warehouse.
| 1. | To develop an understanding of the concepts in data mining |
| 2. | To be able to locate and evaluate popular data mining techniques and software packages |
| 3. | To be able to identify promising applications of data mining |
| 4. | To be able to implement prototype data mining systems |
| 5. | To be able to design/implement new data mining algorithms |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 1 | %5 |
| Assignment | 1 | %5 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Midterm Examination | 1 | 10 | 1 | 11 |
| Final Examination | 1 | 10 | 1 | 11 |
| TOTAL WORKLOAD (hours) | 50 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | |
OÇ-1 | 2 | 3 | 2 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
OÇ-2 | 3 | 3 | 3 | 4 | 4 | 3 | 4 | 4 | 4 | 5 |
OÇ-3 | 3 | 4 | 4 | 3 | 4 | 3 | 4 | 4 | 3 | 4 |
OÇ-4 | 4 | 4 | 4 | 4 | 4 | 3 | 4 | 4 | 4 | 3 |
OÇ-5 | 3 | 4 | 5 | 4 | 5 | 4 | 4 | 4 | 4 | 4 |