Engine Gas Dynamics

Engine Gas Dynamics provides a physically based understanding of gas dynamics with applications to internal combustion engines.

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

Summary

1 / 2

Recent recorded grades — Fall 2017: 3.59 GPA, 78.3% A/AB (n=23 letter grades); Fall 2019: 3.83 GPA, 90.9% A/AB (n=33 letter grades); Spring 2023: 3.89 GPA, 88.9% A/AB (n=9 letter grades).

What you’ll be able to do

  • Analyze the major physical processes that occur in gas dynamic flows within internal combustion engines.

  • Evaluate the performance and design of the principal air-handling systems in engine combustion.

  • Apply control volume analysis to solve fluid mechanics problems, for fluids at rest and in movement

  • Use the equations of fluid mechanics to solve realistic engineering problems involving fluids by making appropriate assumptions

  • Develop a mathematical working knowledge of the common manipulations that are performed for three dimensional time-dependent flows

  • Implement numerical solutions to selected fluid problems

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

Graduate/professional standing

  • Graduate/professional standing
EPD 625 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
  • Graduate/professional standing

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

No records available.

Student experience

the class

Recent recorded grades — Fall 2017: 3.59 GPA, 78.3% A/AB (n=23 letter grades); Fall 2019: 3.83 GPA, 90.9% A/AB (n=33 letter grades); Spring 2023: 3.89 GPA, 88.9% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Gas dynamics in internal combustion engines.
  • Air-handling systems in engine combustion.
  • Fluid mechanics and control volume analysis.
  • Three-dimensional time-dependent flow manipulations.
  • Numerical solutions for fluid problems.

Skills

  • Analyzing physical processes in gas dynamic flows within internal combustion engines.
  • Evaluating performance and design of air-handling systems in engine combustion.
  • Applying control volume analysis to solve fluid mechanics problems.
  • Using fluid mechanics equations to solve engineering problems with appropriate assumptions.
  • Developing mathematical knowledge for manipulations of three-dimensional time-dependent flows.
  • Implementing numerical solutions to selected fluid problems.

Grades

Latest available · Spring 2023— 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 2023

More grade details Grade mix, volume & source data

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

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.

Explore recorded grades
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": "f56b55bab3f8bbc7ccb6fecd79cb54d7daf12dbab5acc1337dc1467ec91c387e",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}