Artificial intelligence is creating new ways to address important challenges in health care and public health. This course introduces the interdisciplinary field of AI for health and its applications across health care and public health. Students read and critique research papers, then develop AI models and solutions through projects.
Course details
- Instructor
- Prof. Chenyang Lu
- Teaching assistants
- Peiqi Gao, Claire Najjuuko
- Class time
- Tuesday and Thursday, 1:00–2:20
- Location
- Whitaker Hall, Room 218
PrerequisitesCSE 217A, CSE 417T (Machine Learning), ESE 417, CSE 514A (Data Mining), or CSE 517A (Machine Learning).
Course resources
- Syllabus
- Schedule and slides
- Project guidelines
- Reading list
- Formatting for project reports
- Critique requirement
Contact: Please make appointments by email.