
| Course Code | : BİS524 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 1 |
| Prt. | : 0 |
| Credit | : 1 |
| Lab | : 0 |
| ECTS | : 2 |
This course provides basic information about neural networks and provides application examples. Medical usage is included.
Base concepts of artificial neural networks, theory of artificial neural networks, activation functions, learning algorithms.
| 1. | To be able to comprehend basic ANN |
| 2. | To be able to understand Artificial Neural Network structure |
| 3. | To be able to comprehend ANN learning algorithms |
| 4. | To be able to comprehend the matters to be considered in the design of ANN |
| 5. | To be able to explore ANN application areas |
| 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 | 1 | 14 |
| Assignment | 1 | 5 | 0 | 5 |
| Midterm Examination | 1 | 10 | 1 | 11 |
| Final Examination | 1 | 20 | 1 | 21 |
| TOTAL WORKLOAD (hours) | 51 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | |
OÇ-1 | 2 | 5 | 4 | 4 | 4 | 4 | 4 | 4 | 5 | 3 |
OÇ-2 | 4 | 5 | 4 | 3 | 5 | 5 | 3 | 3 | 5 | 3 |
OÇ-3 | 3 | 5 | 4 | 5 | 5 | 5 | 3 | 4 | 5 | 5 |
OÇ-4 | 2 | 4 | 3 | 4 | 5 | 4 | 3 | 4 | 5 | 4 |
OÇ-5 | 5 | 4 | 5 | 4 | 5 | 5 | 4 | 4 | 4 | 3 |