Fall 2026

Introduction to Plasmas

Introduction to plasmas covering collective phenomena, waves, instabilities, and kinetic theory with applications to fusion and materials processing.

offering recorded3 credits
Recorded instructors · Fall 2026 Hong Qin

Summary

1 / 6

Historical reviews of Oliver Schmitz: The course was rated as difficult, with a difficulty rating of 4, reflecting the challenges of the material and the online format during the pandemic.

Grade history

average GPA
letter grades
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AB
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BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

(E C E 320 or PHYSICS 322), graduate/professional standing, or member of Engineering Guest Students

ECE/NE/PHYSICS 525 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026

No course-specific feedback yet.

Historical instructors & teaching patterns

Historical reviews for Oliver Schmitz describe him as highly caring and helpful, prioritizing student learning over grades. One reviewer noted he prepared extensive online lectures during the pandemic to ensure understanding, rating the course difficulty as moderate.

OLIVER SCHMITZ is recorded teaching in Spring 2020. Recorded history may be incomplete and does not establish a future schedule.

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

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction3 / 400
LEC 001Classroom Instruction17 / 400
LEC 001Classroom Instruction14 / 400

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

Student experience

the class

Historical reviews for Oliver Schmitz describe an exceptional instructor who prioritizes student learning over grades and provides significant support, though his teaching occurred during the challenging online transition of the COVID-19 pandemic.

Recent recorded grades — Spring 2025: 3.85 GPA, 90.0% A/AB (n=10 letter grades); Fall 2025: 3.67 GPA, 81.0% A/AB (n=21 letter grades); Spring 2026: 3.54 GPA, 76.9% A/AB (n=13 letter grades).

difficulty & workload

Historical reviews of Oliver Schmitz: The course was rated as difficult, with a difficulty rating of 4, reflecting the challenges of the material and the online format during the pandemic.

Historical reviews of Oliver Schmitz: Students found the instructor super helpful and caring, noting that he went out of his way to ensure understanding despite the increased preparation time required for online lectures.

Topics

  • Plasma collective phenomena, sheaths, and fluid models
  • Kinetic theory and nonlinear processes
  • Applications in fusion, astrophysics, and materials processing

Skills

  • Understanding plasma collective phenomena, waves, and instabilities
  • Applying plasma theory to fusion, astrophysical, and materials processing contexts

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

Observations at scan time; dates do not imply when a catalog change took effect.

Selected offering source records
ECE/NE/PHYSICS 525 · Fall 2026

Introduction to Plasmas

Recorded 2026-09-07
ECE/NE/PHYSICS 525 · Fall 2026

Introduction to Plasmas

Recorded 2026-09-07
ECE/NE/PHYSICS 525 · Fall 2026

Introduction to Plasmas

Recorded 2026-09-07
Raw records
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Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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  "requirements_status": "valid",
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}