The Musical Experience
MUSIC 101 introduces various musical genres including songs, opera, musical theater, chamber and orchestral music, and jazz within their social and cultural historical contexts.
Summary
Historical reviews of Matthew Endres, Matthew Richardson: Matthew Endres assigns easy homework and final essays, but his final exam is extremely difficult. Matthew Richardson requires mandatory discussion attendance for quiz credit.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapNone
- None
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- None
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Gabrielle Cornish: Gabrielle Cornish is an engaging and passionate instructor who uses fun demos and jokes to make lectures easy to follow. She is approachable and willing to answer student questions, creating a positive learning environment.
CHARLES DILL is recorded teaching in Fall 2009, Fall 2010. Recorded history may be incomplete and does not establish a future schedule.
DAVID CROOK is recorded teaching in Fall 2008, Spring 2009, Spring 2012. Recorded history may be incomplete and does not establish a future schedule.
EMMA CIFRINO is recorded teaching in Fall 2022, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
ERIN BROOKS is recorded teaching in Fall 2013, Spring 2014, Fall 2014. Recorded history may be incomplete and does not establish a future schedule.
GABRIELLE CORNISH is recorded teaching in Fall 2023, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.
JESSICA COURTIER is recorded teaching in Spring 2008, Fall 2012. Recorded history may be incomplete and does not establish a future schedule.
LAWRENCE EARP is recorded teaching in Fall 2006, Spring 2010, Spring 2011, Fall 2011, Fall 2015, Fall 2016. Recorded history may be incomplete and does not establish a future schedule.
LUCILLE MOK is recorded teaching in Fall 2020, Fall 2021. Recorded history may be incomplete and does not establish a future schedule.
MATTHEW ENDRES is recorded teaching in Spring 2022. Recorded history may be incomplete and does not establish a future schedule.
MATTHEW RICHARDSON is recorded teaching in Fall 2017. Recorded history may be incomplete and does not establish a future schedule.
TREVOR BACA is recorded teaching in Fall 2018. 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 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
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 of Gabrielle Cornish, Matthew Endres: Gabrielle Cornish offers engaging, fun lectures with approachable teaching, while Matthew Endres provides easy homework but difficult finals that students find traumatic.
Recent recorded grades — Spring 2025: 3.55 GPA, 79.8% A/AB (n=114 letter grades); Fall 2025: 3.73 GPA, 87.8% A/AB (n=139 letter grades); Spring 2026: 3.78 GPA, 91.4% A/AB (n=139 letter grades).
difficulty & workload
Historical reviews of Matthew Endres, Matthew Richardson: Matthew Endres assigns easy homework and final essays, but his final exam is extremely difficult. Matthew Richardson requires mandatory discussion attendance for quiz credit.
Historical reviews of Gabrielle Cornish, Lucille Mok: Gabrielle Cornish is praised for her passion and engaging style, while Lucille Mok provided accessible Zoom lectures that aided attendance flexibility.
Topics
Grades
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 · 0.35 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 2026 · 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
1283 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
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
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "5f50eab207264e727b4e0c3326a8dd48c3241dea1a977d5fa7ad01a69d2319da",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}