Subject: Neural Prosthesis (17.AU505 )
Native organizations units: Sub-department for Automatic Control and Systems Engineering
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Computing and Control Engineering (Year: 1, Semester: Winter) |
| Master Academic Studies | Artificial Intelligence and Machine Learning (Year: 2, Semester: Winter) |
Students gain knowledge about neural prostheses.
The acquired knowledge is used in future work and education.
Basic principles of neural prostheses. Control of neural prostheses with and without feedback. Artificial sensors in controlling neural prostheses. Biological sensors, signal recording and its processing. Electrical simulations and simulators, detailed analysis. Algorithms of neural prostheses operation, Designing neural prostheses. Standards and norms relevant for neural prostheses design.
Lectures, laboratory and computer practice, project assignments. Consultations.
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| 2003 | English | |||
| Dejan B. Popović, |
2003 | English |
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Test | Yes | Yes | 10.00 |
| Homework | Yes | Yes | 5.00 |
| Project | Yes | Yes | 30.00 |
| Test | Yes | Yes | 10.00 |
| Homework | Yes | Yes | 5.00 |
| Oral part of the exam | No | Yes | 30.00 |
| Test | Yes | Yes | 10.00 |
Prof. Nikola Jorgovanović
Full Professor
Lectures
Assoc. Prof. Luka Mejić
Associate Professor
Computational classes
Faculty of Technical Sciences
© 2024. Faculty of Technical Sciences.
Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.