HLTH 5800 — AI Across the Health Sciences
4 semester hoursGraduateLectureusually offered: fallOnlineOnline
Presents foundational information about artificial intelligence and its applications in healthcare, public health, pharmacology, and pharmaceutical sciences. Develops AI literacies for entry-level clinical practice, public health, and health-related careers. Provides an overview of the history of AI, most common types of AI approaches, and state-of-the-art of AI in health-related applications. Distinguishes realities from hype around AI’s capabilities and limitations and reviews ethical and regulatory considerations. Offers students experiential opportunities to build a conceptual AI solution to a real-world problem in the health space. Technical background in AI/computer science not required.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2025 | 1 | 27 | 30 | 90% | 3.0 |
| Summer B 2025 | 2 | 44 | 160 | 28% | 58.0 |
| Fall 2025 | 2 | 46 | 160 | 29% | 57.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 0% · W 0% · Th 0% · F 0%
Common patterns: async (100% of sections) — in patterns, R means Thursday
Professors
Fall
- Eugene Tunik (100% of students) · reviews
Spring
- Eugene Tunik (100% of students) · reviews
Summer B
- Eugene Tunik (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list HLTH 5800 in their prerequisites.
Links
Official catalog (HLTH course descriptions) · Student reviews on RateMyHusky · All HLTH courses · Plan it at numap.app