Fall 2026

Statistical Methods for Bioscience I

STATISTICAL METHODS FOR BIOSCIENCE I covers statistical inference, ANOVA, regression, and diagnostics for bioscience applications.

offering recorded4 credits
Recorded instructors · Fall 2026 Brian Powers3.4/5Roddy TaingSteven Moen

Summary

1 / 7

Historical reviews of Bret Larget, Debraj Das: Exams can be difficult and heavily weighted, with one reviewer noting they covered unseen material, while another found them fair and focused on required knowledge.

Grade history

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

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
F&WECOL/STAT 571 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
  • Graduate/professional standing

Professors

Fall 2026
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.17/5 from 29 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 — Fall 2023: 3.35 GPA, 60.9% A/AB (n=46 letter grades); Fall 2025: 3.47 GPA, 61.5% A/AB (n=78 letter grades).

Historical instructors & teaching patterns

Brian Powers is the current instructor. Historical reviews for Bret Larget, Bret Hanlon, and Cecile Ane praise clear lectures, helpful office hours, and supportive teaching. Conversely, Debraj Das received poor reviews for ineffective instruction and exams covering untaught material.

BRET HANLON is recorded teaching in Fall 2010, Fall 2011. Recorded history may be incomplete and does not establish a future schedule.

BRET LARGET is recorded teaching in Fall 2010, Fall 2011. Recorded history may be incomplete and does not establish a future schedule.

BRIAN POWERS is recorded teaching in Fall 2023, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

CECILE ANE is recorded teaching in Fall 2006, Fall 2007, Fall 2008, Fall 2009, Fall 2014, Fall 2017, Fall 2023. Recorded history may be incomplete and does not establish a future schedule.

DEBRAJ DAS is recorded teaching in Fall 2017. 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 570
LEC 002Classroom Instruction4 / 700
DIS 311Classroom Instruction0 / 240
DIS 312Classroom Instruction0 / 240
DIS 313Classroom Instruction0 / 240
DIS 321Classroom Instruction2 / 240
DIS 322Classroom Instruction0 / 240
DIS 323Classroom Instruction2 / 240
LEC 001Classroom Instruction34 / 720
LEC 002Classroom Instruction35 / 720
DIS 311Classroom Instruction7 / 240
DIS 312Classroom Instruction11 / 240
DIS 313Classroom Instruction16 / 240
DIS 321Classroom Instruction20 / 240
DIS 322Classroom Instruction10 / 240
DIS 323Classroom Instruction5 / 240

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

Historical instructors like Bret Larget, Bret Hanlon, and Cecile Ane received praise for clear lectures and helpfulness, while Debraj Das was criticized for poor teaching and unfair exams.

Recent recorded grades — Fall 2023: 3.44 GPA, 64.0% A/AB (n=111 letter grades); Fall 2024: 3.52 GPA, 73.3% A/AB (n=86 letter grades); Fall 2025: 3.47 GPA, 61.5% A/AB (n=78 letter grades).

difficulty & workload

Historical reviews of Bret Larget, Debraj Das: Exams can be difficult and heavily weighted, with one reviewer noting they covered unseen material, while another found them fair and focused on required knowledge.

Historical reviews of Bret Hanlon, Bret Larget: Students found office hours helpful for understanding concepts, though late posting of lecture slides was a frustrating logistical issue.

Topics

  • Descriptive statistics, distributions, normal inference, power, ANOVA, regression, categorical data, non-parametric methods
  • Underlying assumptions and diagnostic work

Skills

  • Perform descriptive statistics, normal inference, power analysis, ANOVA, regression, and non-parametric methods with diagnostic work.

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.05 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · 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

1320 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
F&WECOL/STAT 571 · Fall 2026

Statistical Methods for Bioscience I

Recorded 2026-09-07
F&WECOL/STAT 571 · Fall 2026

Statistical Methods for Bioscience I

Recorded 2026-09-07
Raw records 
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    "source_subject_id": "396",
    "title": "Statistical Methods for Bioscience I",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall"
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    "course_uid": "course_72cc7ddf48330b71523f309f",
    "term_id": "1272",
    "source_course_id": "007686",
    "source_subject_id": "932",
    "title": "Statistical Methods for Bioscience I",
    "credits_min": 4,
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Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "9f4869e95a6ea13db9b1a6351cfb0b8355959979c3c22e22d02779b9519f0588",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}