Fall 2026

Advanced Materials Science: Phase Transformations

Advanced study of phase transformations, nucleation, and kinetics in materials science.

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

Summary

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Recent recorded grades — Spring 2024: 3.71 GPA, 84.2% A/AB (n=19 letter grades); Spring 2025: 3.82 GPA, 96.0% A/AB (n=25 letter grades); Spring 2026: 3.50 GPA, 55.6% A/AB (n=9 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

(M S & E 530 or concurrent enrollment) and graduate/professional standing

MS&E 752

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

Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Meeting source records

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Student experience

the class

Recent recorded grades — Spring 2024: 3.71 GPA, 84.2% A/AB (n=19 letter grades); Spring 2025: 3.82 GPA, 96.0% A/AB (n=25 letter grades); Spring 2026: 3.50 GPA, 55.6% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Phase transformations and nucleation theory
  • Alloy phase equilibria and interface reactions
  • Structural imperfections in materials

Skills

  • Analysis of phase transformations, nucleation theory, and growth kinetics.

Grades

Latest available · Spring 2026— 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 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Student reviews

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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": "d1e0f5b75de1e679e4103a7d50678b7e2c510bc864f56f1e7a80a0a45a6f3425",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}