Fall 2026

Social Network Analysis and Health

SOCIAL NETWORK ANALYSIS AND HEALTH provides an overview of research applying social network analysis to health outcomes and organizations.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Spring 2019: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2025: 3.83 GPA, 83.3% A/AB (n=6 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
POPHLTH 819

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Meeting source records

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Student experience

the class

Recent recorded grades — Spring 2019: 3.95 GPA, 100.0% A/AB (n=10 letter grades); Spring 2022: 4.00 GPA, 100.0% A/AB (n=12 letter grades); Spring 2025: 3.83 GPA, 83.3% A/AB (n=6 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Health outcomes including substance use, smoking, contraception, AIDS, and obesity
  • Social networks of health organizations and patient care

Skills

  • Collection and processing of social network data
  • Calculation of network measures
  • Statistical modeling of network effects

Grades

Latest available · Spring 2025— 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 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Madgrades

Grade history

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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
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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": "bc31d435c9f583926bfe8c93b111979403d16be168dc180c55df9d19b0c431cb",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}