Wisconsin Applied Ventures in Entrepreneurship (wave)

WAVE course where students develop, refine, and present business models using the Lean Start-Up approach, culminating in a presentation to the WAVE Board.

offering recorded3 credits
Recorded instructors · Spring 2027 Dan Olszewski

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.93 GPA, 92.9% A/AB (n=14 letter grades); Spring 2025: 3.98 GPA, 100.0% A/AB (n=22 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=13 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.

  • Communicate venture ideas and findings clearly and persuasively through written and oral presentations tailored to potential investors and stakeholders.

Source: UW Guide

Grade history

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average GPA
letter grades
A
AB
B
BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

M H R 715, 722, 734, or 741

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

Prerequisite text tree

Professors

Spring 2027
Historical instructors & teaching patterns

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

Student experience

the class

Recent recorded grades — Spring 2024: 3.93 GPA, 92.9% A/AB (n=14 letter grades); Spring 2025: 3.98 GPA, 100.0% A/AB (n=22 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=13 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Business model development and refinement using the Lean Start-Up approach.
  • Customer and market discovery techniques, including assessing needs and product-market fit.
  • Designing and conducting entrepreneurial experiments to validate assumptions.
  • Investment potential assessment and feedback from the WAVE Board.

Skills

  • Market discovery, validating business model assumptions, and conducting entrepreneurial experiments.
  • Evaluating and refining venture concepts using constructive feedback.
  • Communicating venture ideas and findings through written and oral presentations.

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
MHR 738 · Spring 2027

Wisconsin Applied Ventures in Entrepreneurship (WAVE)

Recorded 2026-10-14
Raw records
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  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:236:021825",
    "course_id": "MHR 738",
    "course_uid": "course_d0ae3b96a7c9eb5f2e798dbb",
    "term_id": "1274",
    "source_course_id": "021825",
    "source_subject_id": "236",
    "title": "Wisconsin Applied Ventures in Entrepreneurship (WAVE)",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Occasionally"
  }
]
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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
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "a0bb9517b7a96077a3819fdf48e6610942357281c86b124559cf84d2cf13803d",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}