Digital health is the use of information and communication technology for disease prevention and treatment. Students will get to know the key concepts, definitions, and technologies in the field of digital health. They will get insights into acceptability and usability of digital health applications in the context of various diseases. Students will get to know strategies for collecting medically-relevant data of various modalities, e.g., recording speech data using microphones or tracking heart rate via wearable sensors, and learn about principal concepts of intelligent biosignal processing and analysis including feature extraction and machine learning in the context of healthcare applications. Students will gain competence in selecting appropriate methodology or designing new approaches for a broad range of health-related signal processing and analysis tasks. Finally, students will be made familiar with current and potential future implications of intelligent biosignal analysis to the health sector as well as sensitised to related ethical and data privacy aspects.