"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 "