Fall 2026

Audio Description: Accessibility for Dance, Arts, & Media

DANCE 371 surveys accessibility practices in arts, film, and media using dance, focusing on crafting audio description and disability studies frameworks.

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

Summary

Recent recorded grades — Fall 2008: 3.72 GPA, 100.0% A/AB (n=9 letter grades); Fall 2010: 4.00 GPA, 100.0% A/AB (n=7 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

Sophomore standing

  • Sophomore standing
DANCE 371

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Prerequisite text tree
  • Sophomore 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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SectionModeEnrolled / capacityWaitlist

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Meeting source records

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Student experience

the class

Recent recorded grades — Fall 2008: 3.72 GPA, 100.0% A/AB (n=9 letter grades); Fall 2010: 4.00 GPA, 100.0% A/AB (n=7 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Theoretical models of disability, ADA compliance, and disability community politics.
  • Audio description as an artistic and humanistic accessibility measure.

Skills

  • Crafting audio description as an artistic and humanistic accessibility measure.
  • Surveying accessibility practices for arts, film, and media through dance.

Grades

Latest available · Fall 2010— 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 Fall 2010

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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Catalog observation history

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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": "7dc0dab5a45c767c7d8331ae01940cec578b73f25b220605f857d5efbac30e52",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}