CS 7200 — Statistical Methods for Computer Science

4 semester hoursGraduateLectureusually offered: falltypical days: T/FBostonTraditional

Introduces concepts in applied statistics. Covers frequentist and Bayesian characterization of uncertainty for continuous and categorical data, principles of experimental design, and methods of causal inference. Discusses the methodological foundations, as well as issues of practical implementation and use.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 20231223073%8.0
Fall 20241102540%15.0
Spring 2025153017%25.0
Fall 2025181650%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 100% · W 0% · Th 0% · F 100%

Common patterns: TF (100% 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.

Links

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