IE 6400 — Foundations for Data Analytics Engineering

4 semester hoursGraduateLectureusually offered: fall, springtypical days: FBostonOnlineSeattle, WAVancouver, CanadaLive CastOnlineTraditional

Offers topics and skills designed to prepare students for advanced courses in data analytics engineering. Covers basic concepts and implementation of methods related to probability, eigenvalues and eigenvectors, cluster analysis, text mining, and time series analysis. Offers students an opportunity to learn how to work with modern data structures and apply computational methods for data cleaning and data wrangling operations.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 2023531134590%6.8
Spring 202426112549%32.0
Fall 2024521972930%102.0
Spring 202524710047%26.5
Fall 2025411521155%24.0
Spring 202632110520%28.0

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 3% · T 47% · W 34% · Th 8% · F 72%

Common patterns: TF (34% of sections), WF (32% of sections), async (12% of sections), TR (8% of sections), F (6% of sections), T (5% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

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

Unlocks

DADS 7275, IE 5500, IE 7200, IE 7215, IE 7275, IE 7280, IE 7285, IE 7290, IE 7295, IE 7300, IE 7350, IE 7500, IE 7615

Courses that list IE 6400 in their prerequisites.

Links

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