Spring 2027

Epidemiology of Aging

Overview of aging epidemiology covering common conditions, risk reduction, and methodological challenges in studying older adults.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 2

Lectures are small, with a median of 12 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

What you’ll be able to do

  • Identify and summarize epidemiological studies that influenced the field of aging epidemiology.

  • Assess methodological considerations important in epidemiological research on aging.

  • Critically evaluate scientific articles, assessing strengths, limitations and knowledge gaps.

  • Design epidemiologic studies in aging epidemiology that overcome some limitations of previous studies.

Source: UW Guide

Grade history

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average GPA
letter grades

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Prerequisites

Course map

POP HLTH 798

POPHLTH 777

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Professors

Spring 2027

No instructors recorded for this selection.

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Calendar & sections

Spring 2027

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Student experience

the class

An overview of the epidemiology of aging, including common conditions, risk reduction, and the methodological challenges of engaging older adults in epidemiological studies.

difficulty & workload

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Topics

  • Epidemiology of aging, common conditions, and risk reduction
  • Methodological challenges in engaging older adults in studies

Skills

  • Assessing methodological considerations in aging research
  • Designing epidemiologic studies for aging populations
  • Summarizing influential aging epidemiology studies

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-10-14

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "6ac9de6546f6abc23970ed38be55da235524f828c2c5a7f6a000505a7aec18ba",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}