Spring 2027

Quantitative Approaches to Public Health II

Quantitative Approaches to Public Health II covers fundamental principles of epidemiology and biostatistics, using case studies to train students in collecting and analyzing public health data.

offering recorded3 credits
Recorded instructors · Spring 2027 Matthew Walsh

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.73 GPA, 90.2% A/AB (n=41 letter grades); Spring 2025: 3.61 GPA, 77.5% A/AB (n=40 letter grades); Spring 2026: 3.51 GPA, 78.4% A/AB (n=37 letter grades).

What you’ll be able to do

  • Apply common statistical methods for inference.

  • Interpret results of statistical analyses found in public health studies.

  • Apply statistical software to analyze health-related data.

  • Perform univariate data analysis for continuous and categorical variables.

  • Apply descriptive and inferential methodologies according to the type of study design for answering specific research questions.

  • Evaluate the strengths and limitations of epidemiologic reports.

  • Define and discuss the relationship of random error, selection and information bias, and systematic error.

  • Define and explain numerous examples of confounding and effect modification and understand how they differ from each other.

  • Apply knowledge from the entire course to make epidemiologic decisions on varied public health issues, even if given conflicting research results, exercising critical judgment.

  • Describe historical ethical failures in public health research and best practices to perform ethical investigations in public health.

Source: UW Guide

Grade history

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

Prerequisites

Course map

PUBLHLTH 783

PUBLHLTH 784

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

Recent recorded grades — Spring 2024: 3.73 GPA, 90.2% A/AB (n=41 letter grades); Spring 2025: 3.61 GPA, 77.5% A/AB (n=40 letter grades); Spring 2026: 3.51 GPA, 78.4% A/AB (n=37 letter grades).

Historical instructors & teaching patterns

MATTHEW WALSH 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

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 500

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, 90.2% A/AB (n=41 letter grades); Spring 2025: 3.61 GPA, 77.5% A/AB (n=40 letter grades); Spring 2026: 3.51 GPA, 78.4% A/AB (n=37 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Fundamental principles of epidemiology and biostatistics.
  • Sources of error, bias, confounding, and effect modification in epidemiologic studies.
  • Ethics in public health research, including historical failures and current best practices.

Skills

  • Apply statistical inference methods and perform univariate data analysis for continuous and categorical variables.
  • Evaluate epidemiologic reports and distinguish between random error, bias, and systematic error.
  • Differentiate confounding from effect modification and apply critical judgment to make epidemiologic decisions.
  • Identify historical ethical failures and apply best practices for ethical public health investigations.

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
PUBLHLTH 784 · Spring 2027

Quantitative Approaches to Public Health II

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:828:025971",
    "course_id": "PUBLHLTH 784",
    "course_uid": "course_96138d7a9e26531aa281e077",
    "term_id": "1274",
    "source_course_id": "025971",
    "source_subject_id": "828",
    "title": "Quantitative Approaches to Public Health II",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

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": "a9b8ac42242a6f1f4e361caa84cd88542f4a9688ab09ecc0673866932cbb2f48",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}