Information Package / Course Catalogue
| Course Code | : ULT410 |
| Course Type | : Area Elective |
| Couse Group | : First Cycle (Bachelor's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
To give data mining and machine learning concepts by using machine learning tools and techniques. It is aimed to prepare data for data mining, interpret the outputs, evaluate the results, and transfer the algorithmic methods that form the basis of data mining.
Introduction to Data Mining Data Entry: Concepts, Examples, Decision Trees Algorithms: relationship rules, Clustering
| 1. | Clustering in data mining. Distance criterion |
| 2. | Examples of Nearest Neighbor Algorithms and Laboratory Applications |
| 3. | Basic R and Python Programming Language Skill |
| 4. | Analysis of Decision Tree Problems with software |
| 5. | Use of classification and clustering algorithms in real life problems |
| Type of Assessment | Count | Percent |
|---|---|---|
| Quiz | 2 | %5 |
| Midterm Examination | 1 | %35 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 13 | 0 | 3 | 39 |
| Individual Work | 13 | 0 | 3 | 39 |
| Quiz | 2 | 5 | 2 | 14 |
| Midterm Examination | 1 | 27 | 1 | 28 |
| Final Examination | 1 | 24 | 1 | 25 |
| TOTAL WORKLOAD (hours) | 145 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | |
OÇ-1 | 4 | 3 | 2 | 2 | 2 | 2 | 3 | 5 |
OÇ-2 | 4 | 3 | 5 | 3 | 4 | 3 | 5 | 5 |
OÇ-3 | 5 | 2 | 5 | 2 | 4 | 3 | 4 | 3 |
OÇ-4 | 5 | 5 | 2 | 2 | 3 | 2 | 2 | |
OÇ-5 | 3 | 2 | 2 | 2 | 4 | 4 | 2 | 2 |