Information Package / Course Catalogue
| Course Code | : FEK526 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
To understand and implement articial neural networks in real life
This course presents an overview of neural networks and machine learning techniques and their implementation in real life.
| 1. | Explore the fundamental principles of machine learning techniques |
| 2. | Assess the basic concepts of supervised and unsupervised algorithms |
| 3. | Convert and normalize collected information into datasets appropriate for analysis |
| 4. | Implement machine learning techniques over prepared samples |
| 5. | Analyse the results obtained from the executed experiments |
| 1. | Introduction to Machine Learning, E. Alpaydin, MIT Press, 2009 |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 3 | 70 |
| Individual Work | 7 | 2 | 2 | 28 |
| Midterm Examination | 1 | 10 | 1 | 11 |
| Final Examination | 1 | 15 | 1 | 16 |
| TOTAL WORKLOAD (hours) | 125 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | |
OÇ-1 | 3 | 3 | 3 | 3 | 4 | 3 | 5 | 3 | 2 |
OÇ-2 | 4 | 2 | 2 | 3 | 4 | 3 | 2 | 3 | 4 |
OÇ-3 | 3 | 4 | 3 | 3 | 2 | 5 | 3 | 4 | 3 |
OÇ-4 | 3 | 3 | 3 | 4 | 2 | 5 | 3 | 3 | 4 |
OÇ-5 | 3 | 3 | 4 | 2 | 3 | 2 | 3 | 4 | 2 |