PPUA 5262 — Big Data for Cities
4 semester hoursGraduateLectureusually offered: fall, springtypical days: WArlington, VABostonOnlineOnlineTraditional
Investigates the city and its spatial, social, and economic dynamics through the lens of data and visual analytics. Utilizes large public datasets to develop knowledge about visual methods for analyzing data and communicating results. Offers students an opportunity to develop a critical understanding of data structures, collection methodologies, and their inherent biases.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 27 | 30 | 90% | 3.0 |
| Spring 2024 | 1 | 21 | 26 | 81% | 5.0 |
| Fall 2024 | 2 | 27 | 55 | 49% | 14.0 |
| Spring 2025 | 1 | 21 | 26 | 81% | 5.0 |
| Fall 2025 | 2 | 33 | 55 | 60% | 11.0 |
| Spring 2026 | 1 | 26 | 28 | 93% | 2.0 |
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 56% · Th 0% · F 0%
Common patterns: W (56% of sections), async (44% of sections) — in patterns, R means Thursday
Professors
Fall
- Daniel O'Brien (90% of students) · reviews
- Breanne Cave (10% of students) · reviews
Spring
- Matthew MacNabb (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (PPUA course descriptions) · Student reviews on RateMyHusky · All PPUA courses · Plan it at numap.app