IE 6600 — Computation and Visualization for Analytics

4 semester hoursGraduateLectureusually offered: fall, springtypical days: T/FBostonSeattle, WAVancouver, CanadaLive CastTraditional

Offers students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications.Covers basics of Python and R for data mining and visualization. Introduces students to static and interactive visualization charts and techniques that reveal information, patterns, interactions, and comparisons by focusing on details such as color encoding, shape selection, spatial layout, and annotation.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Summer B 20231424986%7.0
Fall 2023726529291%3.9
Spring 2024620626079%9.0
Summer A 20241294860%19.0
Fall 2024411520057%21.3
Spring 2025515623965%16.6
Summer A 20251284858%20.0
Fall 2025410818060%18.0
Spring 202649919252%23.3

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 23% · T 64% · W 24% · Th 8% · F 52%

Common patterns: TF (46% of sections), MW (16% of sections), T (12% of sections), M (8% of sections), TR (5% of sections), W (4% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Summer A

Summer B

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

Unlocks

IE 7615

Courses that list IE 6600 in their prerequisites.

Links

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