HLTH 717MAdvanced Artificial Intelligence in Health I
- Units
- 0.25
- Level
- Graduate
- Faculty
- Health
- Subject
- Public Health Sciences
HLTH 717M as listed in the Spring 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.
This course presents advanced applications of machine learning (ML) and artificial intelligence (AI) algorithms and their applications in solving challenges unique to health data. Common characteristics of big health data, such as multi-domain inputs, being observational, often unstructured, and potentially containing private information, are common barriers to the application of ML and AI in this field. This course will discuss some advanced ML solutions to those barriers and how AI advances are being applied to health. This is a modular seminar-style course. There will be a series of lectures from faculty members and researchers from the health and AI community. Students who do not have the prerequisites but have Python programming and ML skills may be permitted to enrol in the course at the instructor’s discretion.
Prerequisites
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Spring 2026
- Graduate Calendar, Spring 2026The archived entry
- Requirements for Spring 2026Waterloo’s requisite checker
- Schedule of Classes, Spring 2026Instructors, rooms, live seats
- Quest Class SearchWhere you enrol
- Course outlinesSyllabi from past terms (UW login)
- UW FlowStudent ratings and reviews
- WClassesPast sections back to 2004, and who taught them
Calendar versions
Graduate Calendar
- Fall 2025
- Winter 2026
- Spring 2026 requisites changed (shown here)
- Fall 2026
- Winter 2024 and earlier in the calendar archives