Fall 2026

Introduction to Thin-film Deposition Processes

Introduction to thin-film deposition processes and characterization methods.

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

Summary

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Recent recorded grades — Spring 2024: 3.94 GPA, 100.0% A/AB (n=16 letter grades); Spring 2025: 3.93 GPA, 100.0% A/AB (n=7 letter grades); Spring 2026: 3.86 GPA, 92.9% A/AB (n=14 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

(M S & E 330 and 351), graduate/professional standing, or member of Engineering Guest Students

    • take all
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
MS&E 434

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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

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Spring 2024: 3.94 GPA, 100.0% A/AB (n=16 letter grades); Spring 2025: 3.93 GPA, 100.0% A/AB (n=7 letter grades); Spring 2026: 3.86 GPA, 92.9% A/AB (n=14 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Evaporation and plasma assisted processes
  • Sputter deposition
  • Chemical vapor deposition
  • Ion beams
  • Film properties and characterization

Skills

  • Thin-film deposition techniques
  • Film characterization methods

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

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AB
B
BC
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D
F

Grades over time

Through Spring 2026

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

Sources & history

UW–Madison

Catalog & offerings

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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": "0a49df9ce279afe751e6df82b099b0f60eb580cef257e113170fd393409b394d",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}