HSCI 5170 — Data Model Transformation
2 semester hours Graduate Lecture usually offered: spring Online Online
Examines the process for transforming data into a common representation that can be used across research environments. Covers the technical and business processes for data model adoption. Establishes the framework for evaluating data quality and the implementation of agile principles in data model release management.
Prerequisites
Offering history Term Sections Enrolled Capacity Full Open seats/section Spring 2024 1 5 19 26% 14.0 Spring 2025 1 2 19 11% 17.0 Spring 2026 1 2 10 20% 8.0
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 Spring Percentages are each professor's average share of the season's enrolled students in recent terms.
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Data updated Sep 2026 · page generated 2026-09-10.