DS BMED 220
Data Science in Biomedicine Supervised Project
Grades
4.00
Average grade awarded in DS BMED 220. Not a student rating: this is what the grades were.
In the A range
100%
of the 15 letter grades
D, F or W
0.0%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
-
the registrar has this letter grade only this term
The registrar's own records: 15 grades over 1 term, Fall 2021 to Fall 2025. Every instructor is pooled here.
What is inside that record
Every one of those terms is a summer session, and summer sessions are counted here.
The table below splits them.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A 15 · 100.0%
Percentages are of the 15 letter grades. Grey bars are non-letter outcomes.
How the non-letter outcomes are counted
They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted GPA | Raw | n | Terms | A range | Workload | Summer Session A 2026 |
|---|---|---|---|---|---|---|---|
| ESKIN, ELEAZAR reviews ↗ | 3.97 | 4.00 | 15 · | 1 | 100% | - | not teaching it |
Why Predicted is not the Raw average
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department, so an instructor with a handful of students sits near the course mean rather than topping the list.
Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.
Workload and assignments
Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.
dibs has not read this course’s reviews, so it cannot say what kind of work it sets. That is dibs not having looked. It is not a course without papers or exams, and the reviews linked below are the answer until dibs catches up.
From the registrar's catalog
Lecture, four hours; discussion, two hours. Requisite: course 200 or equivalent. Hands-on applied analytics project that helps prepare students for a career in data science in biomedicine by testing their ability to solve complex data science problems in real-world settings. Students hone their communication skills and delve deeply into areas of interest beyond the classroom. Satisfies capstone requirement. May be repeated twice for credit. Letter grading.
Sections in Summer Session A 2026
From the people who took it
Student reviews
What taking DS BMED 220 was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
No student reviews are available to read on dibs for this course yet. Took it? Tell the next person what helped, what was hard, and how you spent your time.
Looking for more perspectives?
External reviews are separate and do not count toward the dibs rating.