Carney Curve

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

Top of the board1.ECON 9902962.LAWS 8856973.PRTO 3300984.BSLW 2299975.PHIL 4932986.LAWS 8308987.SCWK 9960998.EESC 99011009.MUSP 16609610.UGMG 10109811.UNCP 55119712.SCWK 883197

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 3387

Topics in Computational intelligence: Machine Learning Projects · 1 instructor on record · 5 sections

What the course score is made of
60BC evaluations5 records · weight ×1.0 · Spring 2023 – Spring 2026
—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
57thMore challenging than 57% of BC classesranked against every one we hold
92BC — “Intellectually Challenging”5 records · raw score out of 100

Boston College's own “intellectually challenging” question for this class only — students answer it positively about courses that stretched them, so it measures intellectual challenge and NOT grading, workload or quality. Almost every BC class scores high on it, which is why it is shown as a rank rather than a score.

What the workload rank is made of
81stMore work than 81% of BC classesranked against every one we hold
65BC — “Workload”5 records · raw score out of 100

Boston College reports workload for this class only as one of five bands, not as a number of hours, and it does not publish what the bands mean — so this site will not translate it into hours. Higher means more work, which is not the same as worse.

In this project based class, we will introduce several machine learning concepts, and illustrate and practice their use. These topics will, tentatively, include: classification, data processing, dimensionality reduction, model evaluation and tuning, ensemble learning, regression, clustering, multi layer artificial neural networks and their use for classification, regression, generative adversarial networks, and reinforcement learning.

The only instructor on record

5 sections · nobody else has taught itFull record
InstructorOverallWorkloadChallenge
Jose Bento Ayres PereiraComputer Science595 records81st57th

There is no ranking to read here: Jose Bento Ayres Pereira is the only instructor with evaluation records for CSCI 3387, so the number is a record, not a position.

Also taught by Jose Bento Ayres Pereira

3 other classes
ClassInstructorsCourse score
CSCI 2244Randomness and Computation819 records68
CSCI 3383Algorithms618 records70
CSCI 3398Topics in Parallel Computing11 record60

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 5 records
The Professor4 items
Clearly Explains MaterialThe instructor was effective at creating an understanding of difficult subject matter.
731st pctl
Available Outside of ClassThe instructor was available for help outside of class.
836th pctl
Brings Out Your Best WorkThe instructor motivated me to do my best work.
742nd pctl
Sparked My InterestThe course stimulated my interest in the subject matter.
751st pctl
The Course3 items
Well-Organized CourseThe course was well organized.
601st pctl
Clear Learning GoalsThe learning objectives for the course were clear.
681st pctl
Useful Beyond the CourseWhat I learned is applicable beyond this course.
838th pctl
Assignments & Feedback3 items
Assignments Help You LearnAssignments and exams contributed to my learning.
701st pctl
Gives Feedback PromptlyI received feedback on my work in a timely manner.
571st pctl
Meaningful FeedbackThe feedback I received on my work was meaningful.
743rd pctl
Workload, difficulty & attendanceNot ratings
WorkloadHow much work the course took outside class, on Boston College's five-band scale — the band boundaries are not published, so this is not a number of hours.
6581st pctl
Intellectually ChallengingThe course was intellectually challenging.
9257th pctl
Attendance MattersAttending class was necessary to do well in this course.
798th pctl

Bar length is the rank against every comparable record we hold, not the raw score: BC's questions all have a median around 4.5, so a raw-scale bar would be nearly full on every row and would tell you nothing. Every bar is one ink colour — nothing here is graded green or red. The hatched bars are not ratings at all: a higher number on either describes a different course, not a better one.

Game log

5 sections · newest first
InstructorTermSecInstrCourseWork
Jose Bento Ayres PereiraSpring 202601495360
Jose Bento Ayres PereiraSpring 202501747480
Jose Bento Ayres PereiraFall 2024016763—
Jose Bento Ayres PereiraSpring 202401515460
Jose Bento Ayres PereiraSpring 202301545460

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.