MESA 8410
Introduction to Human-Centered Data Science · 2 instructors on record · 3 sections
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.
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.
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 course, students will be introduced to the technical, social, and ethical considerations in the field of data science, including data security, governance, and privacy. Particular focus will be places on data scientists' responsibility to create effective and inclusive solutions that are responsive to the needs, values, and perspectives of people.This course will also introduce the themes and skills that will be developed in subsequent courses. Specifically, students will: learn about trends and advances in data science (e.g., A.I. and cloud computing); beexposed to data cleaning procedures for various types of commonly used data; learn about project lifecycle planning and execution; and will learn about the steps in a typical data science project (e.g., question framing, data collection, cleaning, exploration, modeling, interpretation of findings). Moreover, instruction will focus on developing students skills relating to project management, problem framing, communication, and project execution. Students will learn to use various data science tools and techniques to tackle real-world problems. The tools that students will use in this class include the Python programming language, various Python libraries for introductory data analysis and basic visualization, and development environments such as GitHub and Jupyter Notebook. 
Scores are real averages. The order also accounts for how many records back each one — the count is under every score — so one perfect review does not outrank a semester of them.
| Rank | Instructor | Overall | Workload | Challenge |
|---|---|---|---|---|
| 1 | Emma KlugmanMeasurement, Evaluation, Statistics, and Assessment. Provisional | 922 records | 100th | 24th |
| 2 | Brian SmithHonorable David S. Nelson Chair; Associate Dean for Research · Computer Science Provisional | 891 record | 100th | 14th |
How this board is orderedPositions 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. The comparison here is the class itself: a thin record is read against how this class was rated overall, not against the university.
Every instructor with an evaluation record for this class is on this board — it is not a top ten, and nothing is hidden behind a “show more”. Overall is the instructor's blended score for THIS class only, and its one contributing source is Boston College's evaluations for the sections in the row's record count — nothing on this board is an average across the other things they teach. Workload and Challenge are RANKS against every class we hold, not scores: BC's questions all sit near the top of the 1-5 scale, so a raw number would put almost every row in the high eighties and tell you nothing. Challenge is BC's “intellectually challenging” item, which students answer positively about courses that stretched them — it is not a measure of difficulty or grading. Neither column is ever marked better or worse. 2 of 2 rows are marked provisional: fewer than 3 records stand behind the number. That is thin evidence, not a bad instructor — the record count is in every row.
The line
All 13 items · means across 3 recordsBar 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
3 sections · newest first| Instructor | Term | Sec | Instr | Course | Work |
|---|---|---|---|---|---|
| Emma Klugman | Fall 2025 | 02 | 95 | 88 | 100 |
| Brian Smith | Fall 2024 | 02 | 89 | 74 | 100 |
| Emma Klugman | Fall 2024 | 02 | 89 | 74 | 100 |
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.