Computational Fluid Dynamics

Computational Fluid Dynamics course covering numerical methods for fluid mechanics and heat transfer, emphasizing finite difference and volume techniques for boundary layers and various flow regimes.

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

Summary

1 / 7

Past student reviews · Mario Trujillo

Students should be prepared for serious math, as the curriculum teaches fundamentals and demonstrates the importance of the mathematics through coding.

What you’ll be able to do

  • Apply and solve numerical approximations to partial differential equations (PDEs), principally those consisting of the standard forms for elliptic, hyperbolic, and parabolic problems

  • Discretize and solve incompressible fluid mechanics and heat transfer problems

  • Analyze and eradicate sources of numerical stability issues in standard PDEs

  • Analyze and reduce numerical error

  • Apply numerical knowledge to individual projects

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

M E 363, or graduate/professional standing, or member of Engineering Guest Students

    • ME 363
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
ME 573

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

Prerequisite text tree
  • Any of
    • ME 363
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

CHRISTOPHER RUTLAND is recorded teaching in Fall 2006, Spring 2007, Fall 2007, Fall 2008, Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2018. Recorded history may be incomplete and does not establish a future schedule.

MARIO TRUJILLO is recorded teaching in Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. 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

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SectionModeEnrolled / capacityWaitlist

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

Meeting source records

Student experience

the class

Past student reviews · Mario Trujillo

The course is not a typical CFD class; it teaches fundamentals and demonstrates the importance of mathematics through coding rather than using software like ANSYS or OpenFoam.

Recent recorded grades — Fall 2023: 3.16 GPA, 36.4% A/AB (n=22 letter grades); Fall 2024: 3.33 GPA, 69.6% A/AB (n=23 letter grades); Fall 2025: 3.47 GPA, 56.2% A/AB (n=16 letter grades).

difficulty & workload

Past student reviews · Mario Trujillo

Students should be prepared for serious math, as the curriculum teaches fundamentals and demonstrates the importance of the mathematics through coding.

Past student reviews · Mario Trujillo

Some students found the grading structure questionable, noting that the final exam carried significant weight without adequate review sessions or practice exams.

Topics

  • Boundary layers, incompressible viscous flows, and inviscid compressible flows
  • Finite differences and finite volume techniques
  • Numerical approximations to elliptic, hyperbolic, and parabolic PDEs

Skills

  • Solving numerical approximations to PDEs
  • Discretizing and solving incompressible fluid mechanics and heat transfer problems
  • Analyzing numerical stability issues
  • Reducing numerical error

Grades

Latest available · Fall 2025— 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 Fall 2025

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

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Selected offering source records

No offering records for the selected term.

Raw records
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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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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": "89d8f02af5ee296271d01cbfcb5950bce6fa3a7095cdad1da50d03acd5b25eea",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}