Information Package / Course Catalogue
| Course Code | : BİS540 |
| 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 |
Description of dimension reduction and machine learning techniques in multidimensional data.
Mathematical distance, dimension reduction, singular value decomposition and principal component analysis, multiple dimensional scaling plots, factor analysis, dealing with batch effects, clustering, heatmaps, basic machine learning concepts.
| 1. | To learn the basic concepts of multivariate data analysis |
| 2. | Learning multivariate data preprocessing methods |
| 3. | To be able to analyze multivariate data with statistical techniques |
| 4. | Learning the learning methods of statistics |
| 5. | To have knowledge about regression methods |
| 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 | 15 | 1 | 16 |
| TOTAL WORKLOAD (hours) | 55 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | |
OÇ-1 | 4 | 4 | 4 | 3 | 4 | 3 | 3 | 4 | 3 | 3 |
OÇ-2 | 4 | 4 | 4 | 4 | 4 | 4 | 3 | 4 | 4 | 3 |
OÇ-3 | 3 | 4 | 4 | 3 | 4 | 4 | 4 | 3 | 4 | 4 |
OÇ-4 | 4 | 4 | 4 | 3 | 4 | 4 | 3 | 4 | 4 | 4 |
OÇ-5 | 3 | 3 | 3 | 4 | 5 | 4 | 4 | 4 | 4 | 4 |