Carney Curve

Boston College course evaluations · every published number, ranked class by class

Positions account for how many records stand behind each number, so one perfect review does not outrank a semester of them. Every score shown is the real average — only the ordering is adjusted.

Class record · CSCI · MCAS

CSCI 4900

Data Science Capstone · 1 instructor on record · 1 section

What the course score is made of
84BC evaluations1 record · weight ×1.0 · Fall 2025
Student reviewsno reviews — does not contribute
RateMyProfessorsno ratings — does not contribute

That is the class itself, averaged across everyone who taught it. Who taught it, and how each of them scored, is the board below — that is what a student picking a section is actually choosing between.

What the challenge rank is made of
BC — “Intellectually Challenging”1 record — does not contribute

Boston College's “intellectually challenging” question was not reported in these records, so there is nothing to show. That is missing data, not an easy class.

What the workload rank is made of
BC — “Workload”1 record — does not contribute

Boston College's workload question was not reported in these records, so there is nothing to show. That is missing data, not a light class.

In this Capstone course for Data Science minors, students will apply their skills to real-world projects by working in teams on data science challenges provided by faculty members across the university. Projects may involve machine learning applications for STEM and social science research or data-driven insights for research in the humanities, education, nursing, or social work. Students will be assigned to teams according to their individual interests and major field of study, and they will meet regularly outside of class with their assigned faculty research mentor. The instructor and one or more graduate TAs will provide instruction and guidance during the weekly class meeting. The course will culminate in a final paper and a public presentation, either in a poster session or a series of talks, showcasing the students findings and analyses.

The only instructor on record

1 section · nobody else has taught itFull record
InstructorOverallWorkloadChallenge
Emily Prud'hommeauxAssociate Professor · Computer Science Provisional911 record

There is no ranking to read here: Emily Prud'hommeaux is the only instructor with evaluation records for CSCI 4900, so the number is a record, not a position. It rests on 1 record, which is thin — read it as provisional.

Also taught by Emily Prud'hommeaux

5 other classes
ClassInstructorsCourse score
CSCI 1101Computer Science I11180 records72
CSCI 1090Data Science Principles47 records76
CSCI 2253Documenting and Preserving Indigenous Languages with Data Science33 records94
CSCI 3349Natural Language Processing13 records87
CSCI 2349Text Processing11 record89

Other CSCI classes

All of them
ClassInstructorsCourse score
CSCI 1101Computer Science I11180 records72
CSCI 1102Computer Science II8105 records68
CSCI 2272Computer Organization and Lab357 records75
CSCI 2271Computer Systems423 records60
CSCI 2243Logic and Computation521 records71
CSCI 2244Randomness and Computation819 records68

The line

All 13 items · means across 1 record

Nothing reported

None of the evaluation questions were reported for these records.

Game log

1 section · newest first
InstructorTermSecInstrCourseWork
Emily Prud'hommeauxFall 2025019184

How to read this boardInstructors are ranked on their record in this class only, never on their average across everything they teach. Scores are out of 100 — Boston College's 1–5 agreement scale, ×20, the way these numbers were printed for years. Workload is BC's own five-band figure, not a number of hours, and is shown as a rank. A dash means the question was not reported, and is never a zero.