Spring 2027

Social Network Analysis and Health

Overview of social network analysis applied to health, covering data collection, network measure calculation, and statistical modeling of health behavior outcomes.

offering recorded3 credits
Recorded instructors · Spring 2027 Marlon Mundt

Summary

1 / 3

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).

What you’ll be able to do

  • Formulate research questions relevant to social network analysis.

  • Describe the sources, advantages, and disadvantages of alternative types of social network data.

  • Describe a social network and compare attributes across different social networks.

  • Describe theoretical and empirical issues in current research on social network analysis and health.

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

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

Spring 2027

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).

Historical instructors & teaching patterns

MARLON MUNDT is recorded teaching in Spring 2018, Spring 2019, Spring 2022, Spring 2024, Spring 2025. 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

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 150

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

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 impact
  • Interdisciplinary perspectives from sociology, economics, computer science, medicine, and health services

Skills

  • Collection and processing of social network data
  • Calculation of network measures
  • Statistical modeling of network effects on health behaviors
  • Formulating research questions for social network analysis

Grades

Latest available · Spring 2025— 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 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

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
POPHLTH 819 · Spring 2027

Social Network Analysis and Health

Recorded 2026-10-14
Raw records
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    "run_id": "20261014T203208-0851c9a1",
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    "offering_id": "1274:810:024952",
    "course_id": "POPHLTH 819",
    "course_uid": "course_071b0f32272386270f7cd1bb",
    "term_id": "1274",
    "source_course_id": "024952",
    "source_subject_id": "810",
    "title": "Social Network Analysis and Health",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
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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
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "b44cadcfec808e867f05d65f583250e5eb07aa7a917eb82310976fe6786df30f",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}