Spring 2027

Applied Statistics for Biomedical Engineers

Applied Statistics for Biomedical Engineers teaches descriptive and inferential statistics for analyzing and presenting biomedical data.

offering recorded3 credits
Recorded instructors · Spring 2027 Darilis Suarez-Gonzalez3.5/5

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.73 GPA, 88.3% A/AB (n=60 letter grades); Spring 2025: 3.78 GPA, 91.3% A/AB (n=69 letter grades); Spring 2026: 3.84 GPA, 90.4% A/AB (n=83 letter grades).

What you’ll be able to do

  • interpret statistics that are presented and recognize statistical evidence that supports a conclusion

  • apply descriptive statistical analysis to data

  • make inferences based on sampled data (test a hypothesis)

  • present data and statistical analysis in appropriate graphical format

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
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All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Biomedical Engineering and MATH 222

  • Declared in Biomedical Engineering and MATH 222
BME 325 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Declared in Biomedical Engineering and MATH 222

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.75/5 from 4 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Spring 2024: 3.73 GPA, 88.3% A/AB (n=60 letter grades); Spring 2025: 3.78 GPA, 91.3% A/AB (n=69 letter grades); Spring 2026: 3.84 GPA, 90.4% A/AB (n=83 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

DARILIS SUAREZ-GONZALEZ is recorded teaching in Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 800

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2024: 3.73 GPA, 88.3% A/AB (n=60 letter grades); Spring 2025: 3.78 GPA, 91.3% A/AB (n=69 letter grades); Spring 2026: 3.84 GPA, 90.4% A/AB (n=83 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Descriptive and inferential statistics
  • T-tests, linear regression, ANOVA, diagnostic tests, and ROC curves
  • Graphing and presenting data

Skills

  • Apply t-tests, linear regression, analysis of variance, diagnostic tests, and ROC curves.
  • Present data and statistical analysis in appropriate graphical formats.
  • Implement statistical tools in a computer lab setting.

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
BME 325 · Spring 2027

Applied Statistics for Biomedical Engineers

Recorded 2026-10-29
Raw records 
[
  {
    "run_id": "20261029T213040-0fa85c20",
    "semester": "1274",
    "observed_at": "2026-10-29 21:30:40.248904+00:00",
    "offering_id": "1274:207:025209",
    "course_id": "BME 325",
    "course_uid": "course_9ea08d141645e8e3a95d2869",
    "term_id": "1274",
    "source_course_id": "025209",
    "source_subject_id": "207",
    "title": "Applied Statistics for Biomedical Engineers",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-29

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "150d6edce9b86c852dcd7873d117a3f692ec67dae6448f0ad5b09e0dd595fd09",
  "requirements_status": "needs_review",
  "dataset_revision": "c9cd06eaa45f9ddf7e69faa38b89ff3d3dd995dd",
  "observed_at": "2026-10-29 21:30:40.248904+00:00"
}