"At the end of this course, students are able to:
- understand and develop robotic methods for neurorehabilitation by means of exoskeletons and virtual reality
- record and process neural signals (EEG, EMG)
- apply and develop machine learning algorithms on neural data
- integrate sensory feedback mechanisms

Additionally, non-technical skills are learned. The students are able to:
- organize and lead a technological project
- work in small teams and communicate the team's progress
- include (ideally participatorily) the perspective of people with stroke in their research and development work
- apply methods of human-centered engineering and reflect neurotechnology with respect to social and ethical perspectives
"