BIOSTAT M257
Computational Methods for Biostatistical Research
Grades
3.92
Average grade awarded in BIOSTAT M257. Not a student rating: this is what the grades were.
In the A range
96%
of the 23 letter grades
D, F or W
0.0%
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: 23 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 3.94.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 4 · 17.4%
- A 14 · 60.9%
- A- 4 · 17.4%
- B+ 1 · 4.3%
- S 1 of 25
- U 1 of 25
Percentages are of the 23 letter grades. Grey bars are non-letter outcomes: satisfactory (S) and unsatisfactory (U).
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 | Fall 2026 |
|---|---|---|---|---|---|---|---|
| ZHOU, HUA reviews ↗ | 3.90 | 3.92 | 23 | 2 | 96% | - | 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
dibs has not read a class page for BIOSTAT M257 in any term it holds, so it cannot say what comes before it.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
In Falls
Has not run in Fall in the 3 Falls dibs holds records for, back to Spring 2023. That is 3 years of grade records rather than the course catalog, so it says what has happened and not what the department will do next. dibs has no record of it in any quarter since Spring 2024.
From the terms dibs holds, which start in Fall 2021 and exclude summer. A department can run a course in a quarter it never has before.
From the registrar's catalog
(Formerly numbered 257.) (Same as Biomathematics M257.) Lecture, three hours; discussion, one hour. Requisites: course 250A or Statistics 100C, Mathematics 115A. Preparation for quantitative research in statistics and data sciences. Numerical analysis and hands-on computing techniques for handling big data. Numerical analysis topics include computer arithmetic, solving linear equations, Cholesky factorization, QR factorization, regression computations, eigenvalue problems, iterative solvers, numerical optimization, and design and analysis of statistical simulation experiments. Computing techniques include basics of R programming, reproducible research using R and RStudio, collaborative research, parallel computing, and cloud computing. No prior knowledge of R assumed. S/U or letter grading.
Sections in Fall 2026
From the people who took it
Student reviews
What taking BIOSTAT M257 was like: the work, the teaching, and what students wish they’d known.
Your experience could be the first.
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External reviews are separate and do not count toward the dibs rating.