ARTG 5330 — Visualization Technologies 1: Fundamentals
4 semester hoursGraduateLectureusually offered: fall, springtypical days: TBostonVancouver, CanadaTraditionalrepeatable for credit
Introduces programming languages that allow computational analysis and digital delivery of dynamic information. Examines implications of environmental and personal sensor data sources, mobile collection and analysis of data, real-time networked data sets, and social use of shared data visualization tools. Students who do not meet course restrictions may seek permission of instructor or program coordinator. May be repeated once.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 2 | 25 | 40 | 63% | 7.5 |
| Spring 2024 | 1 | 26 | 27 | 96% | 1.0 |
| Spring 2025 | 1 | 24 | 24 | 100% | 0.0 |
| Fall 2025 | 1 | 9 | 16 | 56% | 7.0 |
| Spring 2026 | 1 | 25 | 24 | 104% | 0.0 |
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 4% · T 88% · W 8% · Th 0% · F 0%
Common patterns: T (88% of sections), W (8% of sections), M (4% of sections) — in patterns, R means Thursday
Professors
Fall
- Matthew Bejtlich (74% of students) · reviews
- Alfredo Ivan Lopez Sherman (26% of students) · reviews
Spring
- Nil Tuzcu (67% of students) · reviews
- Steven Geofrey (33% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Unlocks
Courses that list ARTG 5330 in their prerequisites.
Links
Official catalog (ARTG course descriptions) · Student reviews on RateMyHusky · All ARTG courses · Plan it at numap.app