EECE 5642 — Data Visualization
4 semester hoursGraduateLectureusually offered: springtypical days: W/FBostonOnlineTraditionalVideo Streaming
Introduces relevant topics and concepts in visualization, including computer graphics, visual data representation, physical and human vision models, numerical representation of knowledge and concept, animation techniques, pattern analysis, and computational methods. Topics include tools and techniques for practical visualization and elements of related fields, including computer graphics, human perception, computer vision, imaging science, multimedia, human-computer interaction, computational science, and information theory. Covers examples from a variety of scientific, medical, interactive multimedia, and artistic applications. Includes hands-on exercises and projects. Emphasizes modern engineering applications of computer vision, graphics, and pattern classification methodologies for data visualization.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 3 | 56 | 179 | 31% | 41.0 |
| Spring 2025 | 2 | 64 | 76 | 84% | 6.0 |
| Spring 2026 | 2 | 43 | 59 | 73% | 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 44% · W 53% · Th 0% · F 98%
Common patterns: WF (53% of sections), TF (44% of sections), async (2% 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.
Links
Official catalog (EECE course descriptions) · Student reviews on RateMyHusky · All EECE courses · Plan it at numap.app