Spring 2027

Wisconsin Applied Ventures in Entrepreneurship (wave)

Students develop and refine Lean Start-Up business models for customer/market discovery, presenting to the WAVE Board for feedback on investment potential.

offering recorded3 credits
Recorded instructors · Spring 2027 Maia Donohue

Summary

1 / 2

Recent recorded grades — Spring 2026: 3.81 GPA, 91.7% A/AB (n=24 letter grades).

What you’ll be able to do

  • Apply market discovery techniques to identify and assess customer needs, preferences, and potential product-market fit.

  • Design and conduct entrepreneurial experiments to validate key assumptions and test early-stage business models.

  • Evaluate and refine venture concepts by providing and incorporating constructive feedback from peers, instructors, and industry experts.

Source: UW Guide

Grade history

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average GPA
letter grades
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AB
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BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

M H R 322, 415, 422, 434 or 441

MHR 438

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

Prerequisite text tree

Professors

Spring 2027

Recent recorded grades — Spring 2026: 3.81 GPA, 91.7% A/AB (n=24 letter grades).

Historical instructors & teaching patterns

MAIA DONOHUE is recorded teaching in 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
SEM 001Classroom Instruction0 / 300

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

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2026: 3.81 GPA, 91.7% A/AB (n=24 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Lean Start-Up methodology and business model development.
  • Customer/market discovery and product-market fit assessment.
  • Entrepreneurial experimentation and assumption validation.

Skills

  • Applying market discovery techniques to assess customer needs and product-market fit.
  • Designing and conducting entrepreneurial experiments to validate business model assumptions.
  • Developing and refining business models using the Lean Start-Up approach.

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
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.

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Selected offering source records
MHR 438 · Spring 2027

Wisconsin Applied Ventures in Entrepreneurship (WAVE)

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:236:027063",
    "course_id": "MHR 438",
    "course_uid": "course_2d1dad01a280b0a0aad96644",
    "term_id": "1274",
    "source_course_id": "027063",
    "source_subject_id": "236",
    "title": "Wisconsin Applied Ventures in Entrepreneurship (WAVE)",
    "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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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "b8b4501c342c99e61d5c20c5f950e97a708c35d7b922a4f9800c0acd271eaecc",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}