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about inequality in society. The project relies on many existing techniques of AI ranging from deep learning networks to knowledge graphs, but will push their boundaries and develop new techniques all operating
Section: FB3
Course contents include brain and EEG, experiment design, signal processing, visualization, machine learning, evaluation. The course will be held as a block course during the period 10.-28.9.2018, usually
Analysis of the Embodied Cognition Process on People for Acquiring Music Skills through Games-based Learning Katya Alvarez Molina (2021) more Model based research data management Susanne Putze (2021) more
measurement and interpretation and potential usefulness in human-machine interfaces. They should learn to analyze and formally describe the problems, challenges and potential of using these signals for
(CTG) with Boolean and categorical data (patient record, knowledge base) using neural networks (deep learning).