Class record · MESA · LSOE

MESA 8414

Applied AI and Machine Learning · 1 instructor on record · 1 section

What the course score is made of

80BC 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

84thMore challenging than 84% of BC classesranked against every one we hold

96BC — “Intellectually Challenging”1 record · 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

93rdMore work than 93% of BC classesranked against every one we hold

80BC — “Workload”1 record · 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.

This class will provide a broad overview of various approaches to machine learning, including supervised and unsupervised learning. Students will learn about the fundamental algorithms used to train computers to learn. The course will also expose students to different application areas where data-driven decision-making is aided by machine learning (e.g., text classification, image recognition, and predictive modeling). Students will use the Python programming language and machine learning libraries (e.g., scikit-learn) to solve authentic problems. While working with authentic datasets, students will also learn about bias, accountability, and trust issues that arise when conducting human-centered data science. Required Background:Strong Python programming skills, including experience in data manipulation using pandas. Proficiency with statistical learning concepts like regression, classification, unsupervised learning, regularization is also required. Completion of General Linear Models course or equivalent is also strongly recommended.

The only instructor on record

1 section · nobody else has taught itFull record

Instructor	Overall	Workload	Challenge
Michael SankyMeasurement, Evaluation, Statistics, and Assessment. Provisional	761 record	93rd	84th

There is no ranking to read here: Michael Sanky is the only instructor with evaluation records for MESA 8414, so the number is a record, not a position. It rests on 1 record, which is thin — read it as provisional.

Other MESA classes

All of them

Class	Instructors	Course score
MESA 6410Introductory Statistics	210 records	86
MESA 6468Introductory Statistics	310 records	81
MESA 6420Intermediate Statistics	37 records	83
MESA 1060Classroom Assessment	36 records	87
MESA 6460Interpretation and Evaluation of Research	36 records	80
MESA 6830Interpretation and Evaluation of Research	16 records	75

The line

All 13 items · means across 1 record

The Professor4 items

Clearly Explains MaterialThe instructor was effective at creating an understanding of difficult subject matter.

806th pctl

Available Outside of ClassThe instructor was available for help outside of class.

9240th pctl

Brings Out Your Best WorkThe instructor motivated me to do my best work.

806th pctl

Sparked My InterestThe course stimulated my interest in the subject matter.

9234th pctl

The Course3 items

Well-Organized CourseThe course was well organized.

8419th pctl

Clear Learning GoalsThe learning objectives for the course were clear.

8415th pctl

Useful Beyond the CourseWhat I learned is applicable beyond this course.

8822nd pctl

Assignments & Feedback3 items

Assignments Help You LearnAssignments and exams contributed to my learning.

9683rd pctl

Gives Feedback PromptlyI received feedback on my work in a timely manner.

683rd pctl

Meaningful FeedbackThe feedback I received on my work was meaningful.

765th 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.

8093rd pctl

Intellectually ChallengingThe course was intellectually challenging.

9684th pctl

Attendance MattersAttending class was necessary to do well in this course.

600th 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

1 section · newest first

Instructor	Term	Sec	Instr	Course	Work
Michael Sanky	Fall 2025	01	76	80	80

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.