This lecture provides insights into state-of-the-art deep learning method for the analysis of medical data. We cover a broad spectrum of data modalities and applications and try to discuss both methodological knowledge as well as the necessary medical background knowledge. In particular, we cover physiological time series (ECG, EEG), medical imaging (histopathology, CXR, CT/MRI), audio data (e.g. from digital stethoscopes), electronic health records, clinical text data as well as multimodal combinations of these data types. The students are supposed to work towards a final project of their choice during the second half of the course.