DS 4973 — Topics in Data Science

4 semester hoursUndergraduateLecturetypical days: T/FOnlineOnlinerepeatable for credit

Offers a lecture course in data science on a topic not regularly taught in a formal course. Topics may vary from offering to offering. May be repeated up to four times.

Prerequisites

all of:
- CS 3000 (min D-)
- one of:
  - CS 3100 (min D-)
  - CIS 310M
  - CS 3500 (min D-)
  - DS 3500 (min D-)

Offering history

Term	Sections	Enrolled	Capacity	Full	Open seats/section
Fall 2024	1	13	50	26%	37.0

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 100% · W 0% · Th 0% · F 100%

Common patterns: TF (100% of sections) — in patterns, R means Thursday

Professors

Fall

John Rachlin (100% of students) · reviews

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

Links

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