Spring 2027

Interdisciplinary Experiential Design Projects I

Interdisciplinary Experiential Design Projects I: design and fabricate systems and devices; emphasis on project planning, team dynamics, problem identification, and conceptual design.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 5

Recent recorded grades — Spring 2025: 3.96 GPA, 100.0% A/AB (n=62 letter grades); Fall 2025: 3.88 GPA, 96.0% A/AB (n=250 letter grades); Spring 2026: 3.85 GPA, 93.2% A/AB (n=44 letter grades).

What you’ll be able to do

  • Define an engineering problem as it relates to clients and stakeholders, and translate stakeholder requirements into engineering specifications

  • Research previous solutions to similar design problems

  • Identify potentially relevant standards to design problem

  • Work together on an team that fosters inclusiveness, delegates responsibility, and plans tasks and monitors effort to better achieve objectives that meet client requirements

  • Build an effective physical or analytical prototype

  • Present design progress in written and oral format

  • Defend design decisions with engineering calculations

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

Declared in Mechanical Engineering with senior standing andM E 331

    • Declared in Mechanical Engineering with senior standing
    • ME 331
    take all
ME 351 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • All of
    • Declared in Mechanical Engineering with senior standing
    • ME 331

Professors

Spring 2027

No instructors recorded for this selection.

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

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

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2025: 3.96 GPA, 100.0% A/AB (n=62 letter grades); Fall 2025: 3.88 GPA, 96.0% A/AB (n=250 letter grades); Spring 2026: 3.85 GPA, 93.2% A/AB (n=44 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Design and fabrication of interdisciplinary systems and devices.
  • Project planning, team dynamics, problem identification, and conceptual design and evaluation.
  • Engineering problem definition and translation of stakeholder requirements into specifications.
  • Researching previous design solutions and identifying relevant standards.
  • Building physical or analytical prototypes.
  • Presenting design progress in written and oral formats and defending decisions with engineering calculations.

Skills

  • Project planning, team dynamics, problem identification, and conceptual design and evaluation.
  • Define engineering problems and translate stakeholder requirements into engineering specifications.
  • Research previous solutions to similar design problems and identify potentially relevant standards.
  • Collaborate on inclusive teams by delegating responsibility, planning tasks, and monitoring effort to meet client requirements.
  • Build effective physical or analytical prototypes.
  • Present design progress in written and oral formats and defend design decisions with engineering calculations.

Grades

Historical instructor

Spring 2027 · 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 5 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.

5 earlier forecasts · 0.05 GPA average error.

Grades over time

Through Spring 2027

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

1280 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.

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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

No records available.

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
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "e2b2dcdb9806776d0152ecb73ea0ae610501d37845d257f9394f548cefcbd7a8",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}