Fall 2026

Two-phase Flow and Heat Transfer

Covers two-phase flow and heat transfer in engineering systems, focusing on pool boiling, flow boiling, and phenomenological modeling.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

Recent recorded grades — Fall 2019: 3.50 GPA, 71.4% A/AB (n=7 letter grades); Spring 2022: 3.68 GPA, 78.6% A/AB (n=14 letter grades); Spring 2024: 3.47 GPA, 66.7% A/AB (n=18 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

M E 361 and (M E 364 or CBE 320), or graduate/professional standing, or member of Engineering Guest Students

    • take all
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
ME/NE 520

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

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    • All of
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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Meeting source records

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Student experience

the class

Recent recorded grades — Fall 2019: 3.50 GPA, 71.4% A/AB (n=7 letter grades); Spring 2022: 3.68 GPA, 78.6% A/AB (n=14 letter grades); Spring 2024: 3.47 GPA, 66.7% A/AB (n=18 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Two-phase flow in engineering systems
  • Pool boiling and flow boiling
  • Phenomenological modeling

Skills

  • Modeling two-phase flow and heat transfer phenomena

Grades

Latest available · Spring 2024— not enough history to project Fall 2026.

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 2024

More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

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Student reviews

Original comments behind the course and instructor summaries.

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Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "00809b0ea35277722d26e42c07476d8bdc4af0db61c6d6ae2d42edcd5b6db1d8",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}