Fall 2026

Introduction to Atomic Structure

Introduction to atomic structure covering quantum models, electron spin, and laser cooling techniques.

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

Summary

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Recent recorded grades — Fall 2023: 3.39 GPA, 66.7% A/AB (n=9 letter grades); Spring 2025: 3.77 GPA, 84.6% A/AB (n=13 letter grades); Spring 2026: 2.88 GPA, 41.7% A/AB (n=12 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

PHYSICS 448 or concurrent enrollment,PHYSICS 531 or concurrent enrollment, or graduate/professional or special student standing

PHYSICS 545

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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 2023: 3.39 GPA, 66.7% A/AB (n=9 letter grades); Spring 2025: 3.77 GPA, 84.6% A/AB (n=13 letter grades); Spring 2026: 2.88 GPA, 41.7% A/AB (n=12 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Hydrogen atom, Bohr-Sommerfeld model, and wave model.
  • Many-electron atoms, Pauli principle, and periodic table systematics.
  • Nuclear effects in atomic spectra and laser cooling/trapping.

Skills

  • Description of quantum electron spin and electrodynamic effects.
  • Understanding interaction with coherent radiation, optical forces, and laser cooling/trapping.

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
C
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

Descriptions, prerequisites, and recorded course 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": "eb272ce4efc1bef618de38685b21f1c20efe381d655df620c31cc1b143bacf54",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}