CS 7250 — Information Visualization: Theory and Applications
4 semester hoursGraduateLectureusually offered: fall, springBostonOnlinePortland, MaineOnlineTraditional
Covers foundational as well as contemporary topics of interest in data visualization to enable the effective representation of data across disciplines, including examples drawn from computer science, physical sciences, biomedical sciences, humanities, and economics. Topics include data visualization theory and methodology, visualization design and evaluation, visual perception and cognition, interaction principles, and data encoding and representation techniques. Students who do not meet course restrictions may seek permission of instructor.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 2 | 39 | 57 | 68% | 9.0 |
| Spring 2024 | 1 | 26 | 29 | 90% | 3.0 |
| Spring 2025 | 2 | 62 | 78 | 79% | 8.0 |
| Fall 2025 | 2 | 36 | 61 | 59% | 12.5 |
| Spring 2026 | 1 | 13 | 30 | 43% | 17.0 |
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 14% · W 28% · Th 18% · F 43%
Common patterns: async (26% of sections), R (18% of sections), WF (15% of sections), TF (14% of sections), W (14% of sections), F (14% of sections) — in patterns, R means Thursday
Professors
Fall
- Philip Bogden (52% of students) · reviews
- Lace Padilla (32% of students) · reviews
- Michelle Borkin (16% of students) · reviews
Spring
- Lace Padilla (45% of students) · reviews
- Enrico Bertini (43% of students) · reviews
- Cody Dunne (13% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (CS course descriptions) · Student reviews on RateMyHusky · All CS courses · Plan it at numap.app