Fall 2026

Theory and Control of Synchronous Machines

Theory and control of synchronous machines, covering time-domain modeling, Park's transformation, and transient stability analysis.

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

Summary

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Recent recorded grades — Spring 2011: 3.36 GPA, 57.1% A/AB (n=14 letter grades); Fall 2014: 3.67 GPA, 83.3% A/AB (n=24 letter grades); Spring 2016: 3.45 GPA, 57.9% A/AB (n=19 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

E C E 411 and 427, graduate/professional standing, or member of Engineering Guest Students

    • take all
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
ECE 511 used by

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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 — Spring 2011: 3.36 GPA, 57.1% A/AB (n=14 letter grades); Fall 2014: 3.67 GPA, 83.3% A/AB (n=24 letter grades); Spring 2016: 3.45 GPA, 57.9% A/AB (n=19 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Sudden short circuits and transient conditions
  • Dynamics of multiple machine systems
  • Reduced order models
  • Excitation and turbine/governor control

Skills

  • Modeling synchronous machines in time domain
  • Creating reduced-order machine models
  • Analyzing transient stability and subsynchronous resonance
  • Analyzing excitation and governor control systems

Grades

Latest available · Spring 2016— 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 2016

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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

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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": "ce9804972df3997d8c2a509012794d80bbc501b86decab7126ed5c403bd3495c",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}