INSH 5302 — Information Design and Visual Analytics

4 semester hoursGraduateLectureusually offered: fall, springBostonOnlineOnlineTraditional

Introduces the systematic use of visualization techniques for supporting the discovery of new information as well as the effective presentation of known facts. Based on principles from art, graphic design, perceptual psychology, and rhetoric, offers students an opportunity to learn how to successfully choose appropriate visual languages for representing various kinds of data to support insights relevant to the user’s goals. Covers visual data mining techniques and algorithms for supporting the knowledge-discovery process; principles of visual perception and color theory for revealing patterns in data, semiotics, and the epistemology of visual representation; narrative strategies for communicating and presenting information and evidence; and the critical evaluation and critique of data visualizations. Requires proficiency in R.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Summer B 20231142556%11.0
Fall 20231242596%1.0
Spring 20241252696%1.0
Summer B 20241162564%9.0
Fall 20241162564%9.0
Spring 20251182669%8.0
Summer B 20251182572%7.0
Fall 20251242596%1.0
Spring 20261202774%7.0

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 0% · Th 8% · F 0%

Common patterns: async (56% of sections), T (36% of sections), TR (8% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Summer B

Percentages are each professor's average share of the season's enrolled students in recent terms.

Links

Official catalog (INSH course descriptions) · Student reviews on RateMyHusky · All INSH courses · Plan it at numap.app