Spring 2027

Fundamentals of Music Production

Fundamentals of Music Production introduces digital audio recording and editing theory, covering signal flow and hands-on DAW operation.

offering recorded3 credits
Recorded instructors · Spring 2027 Audrey Martinovich

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.46 GPA, 82.6% A/AB (n=23 letter grades); Fall 2025: 3.81 GPA, 95.8% A/AB (n=24 letter grades); Spring 2026: 3.84 GPA, 95.5% A/AB (n=22 letter grades).

What you’ll be able to do

  • Describe the science of sound, including concepts like the Nyquist Theorem, how we perceive pitch and amplitude, resonance, and how audio becomes digitized.

  • Practice all phases of a recording project from pre-production to recording, editing, and mixing.

  • Record high-quality audio applying various stereo and mono recording techniques.

  • Use recording industry standard software and virtual instruments to create musical compositions.

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

Sophomore standing

  • Sophomore standing
MUSIC 422

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

Prerequisite text tree
  • Sophomore standing

Professors

Spring 2027

Recent recorded grades — Spring 2025: 3.46 GPA, 82.6% A/AB (n=23 letter grades); Fall 2025: 3.81 GPA, 95.8% A/AB (n=24 letter grades); Spring 2026: 3.84 GPA, 95.5% A/AB (n=22 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

AUDREY MARTINOVICH is recorded teaching in Spring 2025, Fall 2025, Spring 2026. 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
LEC 002Classroom 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 2025: 3.46 GPA, 82.6% A/AB (n=23 letter grades); Fall 2025: 3.81 GPA, 95.8% A/AB (n=24 letter grades); Spring 2026: 3.84 GPA, 95.5% A/AB (n=22 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Audio signal flow concepts.
  • Industry-standard recording software and hardware.
  • Recording equipment including microphones and virtual instruments.
  • Computer-based (“in the box”) music production.

Skills

  • Operation of a digital audio workstation for recording and editing.
  • Management of recording projects from pre-production through mixing.
  • Creation of musical compositions using industry-standard software and virtual instruments.

Grades

Latest available · Spring 2026— 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 2026

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
MUSIC 422 · Spring 2027

Fundamentals of Music Production

Recorded 2026-10-14
Raw records
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    "course_id": "MUSIC 422",
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    "term_id": "1274",
    "source_course_id": "026917",
    "source_subject_id": "660",
    "title": "Fundamentals of Music Production",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Student reviews

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
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