Fall 2026

Epidemiology of Aging

POPHLTH 777 covers the epidemiology of aging, focusing on common conditions, risk reduction, and methodological challenges in studying older adults.

offering recorded2 credits

Recorded instructors · Fall 2026 Natascha Merten

Summary

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

Section enrollment · Fall 2026 snapshot ↗

Grade history

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average GPA
letter grades

No recorded grade history.

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Prerequisites

Course map

POP HLTH 798

POP HLTH 798

POPHLTH 777

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Prerequisite text tree

POP HLTH 798

Professors

Fall 2026

Natascha Merten

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Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Section	Mode	Enrolled / capacity	Waitlist
LEC 001	Classroom Instruction	12 / 15	0

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

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 aging conditions
Risk reduction strategies
Methodological challenges in aging research

Skills

Understanding aging epidemiology and risk reduction
Navigating methodological challenges in aging studies

Grades

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Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

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Selected offering source records

POPHLTH 777 · Fall 2026

Epidemiology of Aging

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": "1272:810:027306",
    "course_id": "POPHLTH 777",
    "course_uid": "course_c93277b2d18186f1b894e510",
    "term_id": "1272",
    "source_course_id": "027306",
    "source_subject_id": "810",
    "title": "Epidemiology of Aging",
    "credits_min": 2,
    "credits_max": 2,
    "typically_offered": "Not Applicable"
  }
]

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Madgrades

Grade history

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Model outputs & technical records

nvidia/Qwen3.6-35B-A3B-NVFP4

LLM outputs across runs

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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance

{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "3484ca17ff932b460f653ff1b7b5c13d92777cb22f1cea056fd1a436a3619693",
  "requirements_status": "invalid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}