HLTH 717MAdvanced Artificial Intelligence in Health I
- Units
- 0.25
- Level
- Graduate
- Faculty
- Health
- Subject
- Public Health Sciences
HLTH 717M as listed in the Winter 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.
Prerequisites
- Must have completed the following:
- HLTH605B - Quantitative Methods and Analysis (0.50)
Antirequisites
None listed.
Leads to
No course lists it as a requisite.
Check it elsewhere for Winter 2026
- Graduate Calendar, Winter 2026The archived entry
- Requirements for Winter 2026Waterloo’s requisite checker
- 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 (shown here)
- Spring 2026 requisites changed
- Fall 2026
- Winter 2024 and earlier in the calendar archives