DS BMED 208
Recent Research in Machine Learning in Medicine
Grades
3.94
Average grade awarded in DS BMED 208. Not a student rating: this is what the grades were.
In the A range
98%
of the 63 letter grades
D, F or W
1.6%
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: 63 grades over 2 terms, Fall 2021 to Fall 2025. Every instructor is pooled here.
What is inside that record
No summer session is in that record.
The table below splits them, and term averages across those 2 terms ran 3.89 to 4.00.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 15 · 23.8%
- A 47 · 74.6%
- F 1 · 1.6%
- I 1 of 64
Percentages are of the 63 letter grades. Grey bars are non-letter outcomes: incompletes (I).
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 | Winter 2026 |
|---|---|---|---|---|---|---|---|
| ERNST, JASON reviews ↗ | 3.90 | 3.88 | 34 | 2 | 97% | - | not teaching it |
| CHIANG, JEFFREY NIEN-JAY reviews ↗ | 3.97 | 4.00 | 29 | 2 | 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. Overview of recent research in machine learning applied to medicine. Covers recent papers utilizing data science approaches to analyze large amounts of medical data. Topics include analysis of medical imaging data, electronic health records, and waveforms. Students receive instruction on how to read recent research papers, and present these papers in class. May be repeated twice for credit. Letter grading.
Sections in Winter 2026
From the people who took it
Student reviews
What taking DS BMED 208 was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
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