HSCI 5140 — Foundations of Data Models
2 semester hoursGraduateLectureusually offered: fallOnlineOnline
Introduces students to design principles behind data modeling in life sciences and healthcare. Examines and compares approaches to common data models across different research communities. Explores the rationale for popular data models through the use of industry case studies.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 6 | 19 | 32% | 13.0 |
| Spring 2024 | 1 | 7 | 19 | 37% | 12.0 |
| Fall 2024 | 1 | 3 | 19 | 16% | 16.0 |
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
- Christian Reich (67% of students) · reviews
- Philip Ballentine (33% of students) · reviews
Spring
- Christian Reich (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
HSCI 5160, HSCI 5170, HSCI 5180
Courses that list HSCI 5140 in their prerequisites.
Links
Official catalog (HSCI course descriptions) · Student reviews on RateMyHusky · All HSCI courses · Plan it at numap.app