Fall 2026

Machine Learning for Data-driven Engineering Design

Introduces machine learning and data-driven methods for surrogate modeling and design optimization in engineering.

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

Summary

Recent recorded grades — Fall 2024: 3.35 GPA, 45.0% A/AB (n=20 letter grades); Fall 2025: 3.88 GPA, 100.0% A/AB (n=8 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

(MATH 234 or 376), (MATH 320, 340, 341, or 375), and (I SY E 210,B M E 325,E C E 331,MATH/​STAT 310, 410,STAT 312, 324, 333 or 340), or graduate/professional standing

ME 536

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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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Student experience

the class

Recent recorded grades — Fall 2024: 3.35 GPA, 45.0% A/AB (n=20 letter grades); Fall 2025: 3.88 GPA, 100.0% A/AB (n=8 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Surrogate modeling
  • Design optimization
  • Engineering applications

Skills

  • Applying machine learning to engineering design
  • Surrogate modeling and design optimization

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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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 Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

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Grade history

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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": "c165d677e275da35748172a2e061494c790cfe6d132fecccaedb9bb524dd9646",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}