BIOENGR 223A
Biomedical Data Sciences Research Laboratory I
Grades
3.93
Average grade awarded in BIOENGR 223A. Not a student rating: this is what the grades were.
In the A range
92%
of the 90 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: 90 grades over 5 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 5 terms ran 3.78 to 4.00.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A 79 · 87.8%
- A- 4 · 4.4%
- B+ 6 · 6.7%
- B 1 · 1.1%
Percentages are of the 90 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 C 2026 |
|---|---|---|---|---|---|---|---|
| SPEIER, WILLIAM F reviews ↗ | 3.92 | 3.93 | 90 | 5 | 92% | - | 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.
What comes first
The chain dibs can see is 2 courses long before BIOENGR 223A. Read from Fall 2026, because dibs has not read a class page for BIOENGR 223A in Summer Session C 2026 and a department can change what it requires. This is a floor, not a deadline: dibs has not read a class page for COMPTNG 16B, so the real chain can only be longer than this, never shorter.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
From the registrar's catalog
Lecture, two hours; laboratory, two hours; outside study, eight hours. Requisites: Computer Science 31, 32, Program in Computing 16A, 16B. Course 223A is requisite to 223B, which is requisite to 223C. Designed for graduate students. Researchers and faculty from the school of medicine present challenges and datasets from the health care system. Small student teams choose a project and develop a data science solution. Potential projects cover a variety of topics including medical image analysis, natural language processing of clinical text, and waveform analysis of biosignals. Review of research topics such as experimental design and statistical analysis as well as introducing data science techniques related to image analysis and artificial intelligence. Letter grading.
Sections in Summer Session C 2026
From the people who took it
Student reviews
What taking BIOENGR 223A was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
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