Fall 2026

Introduction to Music Cultures of the World

An introductory ethnomusicology course exploring music cultures of the world beyond traditional music history.

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

Summary

1 / 5

Historical reviews of Erin Brooks, Lucille Mok, Matthew Richardson, Nadia Chana: Workload is generally light, often requiring only attendance and exam preparation. However, Lucille Mok’s section involved excessive homework and essays, while Matthew Richardson required weekly discussion posts and pop quizzes.

Grade history

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

All recorded terms · compare terms & instructors

Prerequisites

Course map

None

  • None
FOLKLORE/MUSIC 103

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

Prerequisite text tree
  • None

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

No current instructors are listed. Historical reviews for Nadia Chana highlight her engaging online lectures and manageable workload, while Lucille Mok's teaching generated strong disagreement, with some finding the class easy and others reporting excessive detail and work.

ERIN BROOKS is recorded teaching in Fall 2013, Fall 2014, Spring 2015, Fall 2015, Spring 2016. Recorded history may be incomplete and does not establish a future schedule.

LUCILLE MOK is recorded teaching in Fall 2020, Fall 2022, Spring 2023. Recorded history may be incomplete and does not establish a future schedule.

MARGARET BUTLER is recorded teaching in Fall 2018. Recorded history may be incomplete and does not establish a future schedule.

MATTHEW RICHARDSON is recorded teaching in Fall 2016, Spring 2017, Fall 2017, Spring 2018. Recorded history may be incomplete and does not establish a future schedule.

NADIA CHANA is recorded teaching in Spring 2019, Fall 2019, Spring 2020, Fall 2021, Spring 2022, Fall 2023, Spring 2024. 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Historical reviews describe Music 103 as an easy, low-work general education course with engaging lectures and minimal homework. While many students recommend it for its accessibility, others found the workload excessive or the lectures confusing.

Recent recorded grades — Spring 2024: 3.94 GPA, 95.6% A/AB (n=248 letter grades); Fall 2024: 3.40 GPA, 65.5% A/AB (n=226 letter grades); Spring 2025: 3.49 GPA, 75.2% A/AB (n=165 letter grades).

difficulty & workload

Historical reviews of Erin Brooks, Lucille Mok, Matthew Richardson, Nadia Chana: Workload is generally light, often requiring only attendance and exam preparation. However, Lucille Mok’s section involved excessive homework and essays, while Matthew Richardson required weekly discussion posts and pop quizzes.

Historical reviews of Erin Brooks, Lucille Mok, Margaret Butler, Matthew Richardson: Matthew Richardson’s dry lectures and Lucille Mok’s specific testing caused confusion and frustration for some students, contrasting with positive reviews of other instructors.

Topics

  • Music cultures of the world
  • Non-traditional music history topics

Skills

  • Active engagement with music in world contexts

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 4 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.23 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2025 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1289 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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.

Download part 1
Selected offering source records

No offering records for the selected term.

Raw records 
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "77e3aaadaa808f680dccaad273a5f9713f71ab04a100c5e5d899b624cfc047a5",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}