Spring 2027

Aerodynamics Laboratory

Aerodynamics Laboratory covering experimental methods for aerodynamic measurements, including wind tunnel tests, flow visualization, and digital data acquisition.

offering recorded3 credits
Recorded instructors · Spring 2027 Prateek Jaiswal

Summary

What you’ll be able to do

  • Plan a comprehensive campaign of wind tunnel testing

  • Utilize state-of-the art instrumentation to measure aerodynamic loads on 2D and 3D models

  • Perform a comprehensive uncertainty analysis of all the measurements

  • Perform numerical simulations of the flow past 2D and 3D object using state-of-the art commercially available software

  • Report the results in a professional format, using appropriate normalizations, scientific notation, graphics, and tables

  • Perform a grid resolution convergence study

Source: UW Guide

Grade history

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average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

E M A 421 or 521 prior to Fall 2026, graduate/professional standing, or member of Engineering Guest Students

    • take one
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
EMA 422

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

Prerequisite text tree
  • Any of
    • Any of
    • graduate/professional standing
    • member of Engineering Guest Students

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
LAB 001Classroom Instruction0 / 360

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

Experimental methods for aerodynamic measurements: wind tunnel tests with 6-component sting balance, pitot probe, flow visualization with smoke generator and laser sheet; digital data acquisition; practical considerations for experimental design. Methods for comparing theoretical predictions to experimental measurements and computational simulations. Was E M A 522 prior to Fall 2026.

difficulty & workload

No workload feedback recorded.

Topics

  • Wind tunnel testing and flow visualization
  • Digital data acquisition and experimental design
  • Comparing theoretical, experimental, and computational results

Skills

  • Planning wind tunnel testing campaigns
  • Using instrumentation to measure aerodynamic loads
  • Performing uncertainty analysis of measurements
  • Performing numerical simulations of flow
  • Conducting grid resolution convergence studies

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

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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
EMA 422 · Spring 2027

Aerodynamics Laboratory

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": "1274:346:023008",
    "course_id": "EMA 422",
    "course_uid": "course_585fbb4d605f74c05be7c812",
    "term_id": "1274",
    "source_course_id": "023008",
    "source_subject_id": "346",
    "title": "Aerodynamics Laboratory",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

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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.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "a5d067a3837784320a86b8eb114a1fbbed0eee3185a18103664dc1930164e22f",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}