Topics will include introductions into tools and techniques for the collection and manipulation of human behavioural data, potentially including:
- Behavioural and physiological sensing
- On-device questionnaires, crowdsourcing
- Case studies from diverse health areas
- Effective study design for mobile devices
- Database structure and retrieval
- Data filtering, pruning and conditioning
- Visualization (Tableau, R and other tools)
- Integration of data with dynamic models
- Cross-leveraging w/traditional data source
- Machine learning classification & inference