Fall 2026

Introduction to Epidemiology

Introduction to epidemiology as the detectives of public health, covering study design, causality, and population health monitoring.

offering recorded3 credits
Recorded instructors · Fall 2026 Kara Bresnahan3.0/5

Summary

1 / 6

The workload involves heavy Excel problem sets with minimal guidance and pre-recorded lectures that are difficult to follow due to speed and lack of captions. Exams are reported as harder than necessary, often containing unclear questions or errors, and require significant independent preparation.

Grade history

average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

PSYCH 210,STAT 240, 301, 324 or 371

NUTRSCI 379

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

Prerequisite text tree

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 1.29/5 from 7 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.

Kara Bresnahan receives uniformly low praise for poor communication, including ignoring questions and posting materials late. Reviewers criticize her for unclear exams, fast-paced uncaptioned videos, and a lack of student support during Excel-heavy problem sets.

Recent recorded grades — Spring 2024: 3.80 GPA, 89.4% A/AB (n=199 letter grades); Spring 2025: 3.59 GPA, 76.2% A/AB (n=210 letter grades); Spring 2026: 3.53 GPA, 76.4% A/AB (n=216 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

KARA BRESNAHAN is recorded teaching in 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 002Classroom Instruction175 / 2000

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

Meeting source records

Student experience

the class

Kara Bresnahan’s NUTRSCI 379 course is described as a self-directed hybrid experience where students must rely heavily on the textbook. Reviewers report that the instructor is unaccommodating and that the course structure makes the material unnecessarily difficult to access.

Recent recorded grades — Spring 2024: 3.80 GPA, 89.4% A/AB (n=199 letter grades); Spring 2025: 3.59 GPA, 76.2% A/AB (n=210 letter grades); Spring 2026: 3.53 GPA, 76.4% A/AB (n=216 letter grades).

difficulty & workload

The workload involves heavy Excel problem sets with minimal guidance and pre-recorded lectures that are difficult to follow due to speed and lack of captions. Exams are reported as harder than necessary, often containing unclear questions or errors, and require significant independent preparation.

Students report frustration with Bresnahan’s dismissive attitude toward questions, late posting of materials, and lack of accommodations. The textbook is often cited as more helpful than the provided slides or lectures, which are described as poorly explained or inaccessible.

Topics

  • Disease causation and outbreak tracking.
  • Longitudinal study design.
  • Risk identification and public health policy.
  • Association, causality, and evidence limitations.

Skills

  • Investigating disease causes and tracking outbreaks.
  • Designing longitudinal health studies.
  • Identifying at-risk groups and generating disease hypotheses.
  • Examining association, causality, and evidence limitations.

Grades

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

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

1283 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.

Selected offering source records
NUTRSCI 379 · Fall 2026

Introduction to Epidemiology

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:694:025688",
    "course_id": "NUTRSCI 379",
    "course_uid": "course_eec04fd90af6ed324aa0366d",
    "term_id": "1272",
    "source_course_id": "025688",
    "source_subject_id": "694",
    "title": "Introduction to Epidemiology",
    "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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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "976dc14fcb2dee0fa703e002ee5a6454850cd66b6e90c6dce1252da930d8f902",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}