BIOSTAT 216
Mathematical Methods for Biostatistics
Grades
3.72
Average grade awarded in BIOSTAT 216. Not a student rating: this is what the grades were.
In the A range
81%
of the 83 letter grades
D, F or W
1.2%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
0%
nobody in the record took it pass/no pass
The registrar's own records: 83 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 3.62 to 3.83.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 17 · 20.5%
- A 30 · 36.1%
- A- 20 · 24.1%
- B+ 9 · 10.8%
- B 2 · 2.4%
- B- 4 · 4.8%
- F 1 · 1.2%
- S 2 of 86
- I 1 of 86
Percentages are of the 83 letter grades. Grey bars are non-letter outcomes: satisfactory (S) and 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 | Summer Session C 2026 |
|---|---|---|---|---|---|---|---|
| ZHOU, HUA reviews ↗ | 3.72 | 3.72 | 71 | 4 | 82% | - | not teaching it |
| XU, JASON QIAN reviews ↗ | 3.72 | 3.70 | 12 · | 1 | 75% | - | 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 4 courses long before BIOSTAT 216. Read from Fall 2026, because dibs has not read a class page for BIOSTAT 216 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 MATH 3B, 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, four hours. Requisites: Mathematics 31A, 31B, 33A. Designed and required for incoming first-year MS and PhD students. Introduction to specialized topics in advanced calculus, linear algebra, and scientific computing that are pertinent for subsequent courses in MS and PhD Biostatistic curriculum. Offers more in-depth understanding of mathematical rigor used in subsequent required courses such as Biostatistics 200B, 200C, 202A, 202B, and 202C. Emphasis on interplay between mathematical methods and scientific computing within R statistics computing environment. Offers detailed training on numerical algorithms used in linear algebra and probabilistic simulations commonly used by statisticians. Examination of several of the most common R functions used in statistical modeling such as regression analysis and random effects models. S/U or letter grading.
Sections in Summer Session C 2026
From the people who took it
Student reviews
What taking BIOSTAT 216 was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
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