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 · MATH · MCAS

MATH 2250

Mathematical Foundations of Data Science · 1 instructor on record · 6 sections

What the course score is made of
89BC evaluations6 records · weight ×1.0 · Fall 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
61stMore challenging than 61% of BC classesranked against every one we hold
92BC — “Intellectually Challenging”6 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
78thMore work than 78% of BC classesranked against every one we hold
60BC — “Workload”6 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.

Introduction to the mathematical foundations of data science, including calculus, linear algebra and probability. The first part of the course covers linear algebra, including matrices, systems of linear equations, vector spaces, and eigenvalues and eigenvectors. The second part of the course introduces random variables and provides an introduction to calculus based probability. The third part of the course introduces optimization techniques used in data science. Prerequisite: MATH1101 or MATH1103 or equivalent Calculus II background.

The only instructor on record

6 sections · nobody else has taught itFull record
InstructorOverallWorkloadChallengeRMP overall
Liyang ZhangMathematics946 records78th61st947 ratings · all classes

There is no ranking to read here: Liyang Zhang is the only instructor with evaluation records for MATH 2250, so the number is a record, not a position. The RateMyProfessors figure is their overall score across everything they teach, not their score in this class.

Also taught by Liyang Zhang

6 other classes
ClassInstructorsCourse score
MATH 1103Calculus II (Mathematics/Science Majors)3089 records75
MATH 1004Finite Probability and Applications3371 records73
MATH 1102Calculus I (Mathematics/Science Majors)1134 records74
MATH 1180Principles of Statistics for the Health Sciences1421 records63
MATH 1190Fundamentals of Mathematics I49 records80
MESA 8412Applied Mathematics for Data Science12 records87

Other MATH classes

All of them
ClassInstructorsCourse score
MATH 1100Calculus I47180 records64
MATH 1103Calculus II (Mathematics/Science Majors)3089 records75
MATH 2202Multivariable Calculus2589 records72
MATH 1004Finite Probability and Applications3371 records73
MATH 1101Calculus II2664 records73
MATH 2210Linear Algebra1837 records79

The line

All 13 items · means across 6 records
The Professor4 items
Clearly Explains MaterialThe instructor was effective at creating an understanding of difficult subject matter.
9557th pctl
Available Outside of ClassThe instructor was available for help outside of class.
9667th pctl
Brings Out Your Best WorkThe instructor motivated me to do my best work.
9348th pctl
Sparked My InterestThe course stimulated my interest in the subject matter.
9343rd pctl
The Course3 items
Well-Organized CourseThe course was well organized.
9360th pctl
Clear Learning GoalsThe learning objectives for the course were clear.
9252nd pctl
Useful Beyond the CourseWhat I learned is applicable beyond this course.
9138th pctl
Assignments & Feedback3 items
Assignments Help You LearnAssignments and exams contributed to my learning.
9473rd pctl
Gives Feedback PromptlyI received feedback on my work in a timely manner.
9574th pctl
Meaningful FeedbackThe feedback I received on my work was meaningful.
9361st 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.
6078th pctl
Intellectually ChallengingThe course was intellectually challenging.
9261st pctl
Attendance MattersAttending class was necessary to do well in this course.
9252nd 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

6 sections · newest first
InstructorTermSecInstrCourseWork
Liyang ZhangSpring 202601969160
Liyang ZhangFall 202501989360
Liyang ZhangSpring 202501898360
Liyang ZhangFall 202401908860
Liyang ZhangSpring 202401938760
Liyang ZhangFall 2023019994

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.