Fall 2026

State Space Systems Analysis

ECE 334 teaches state space systems analysis, focusing on matrix methods for differential equations, stability, controllability, observability, and feedback design.

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

Summary

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Recent recorded grades — Spring 2024: 3.15 GPA, 60.9% A/AB (n=23 letter grades); Spring 2025: 3.30 GPA, 59.3% A/AB (n=27 letter grades); Spring 2026: 3.51 GPA, 69.2% A/AB (n=39 letter grades).

Grade history

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average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

E C E 330,MATH 319, 320, 376, or member of Engineering Guest Students

ECE 334 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 instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist

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Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Spring 2024: 3.15 GPA, 60.9% A/AB (n=23 letter grades); Spring 2025: 3.30 GPA, 59.3% A/AB (n=27 letter grades); Spring 2026: 3.51 GPA, 69.2% A/AB (n=39 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • State-variable differential equations
  • Stability, controllability, and observability
  • State feedback and observers

Skills

  • Write and solve state-variable differential equations using matrix methods.
  • Analyze system stability, controllability, and observability.
  • Design state feedback controllers and observers.

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

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records

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Raw records 
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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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": "1e371f8c1f87974bb4316982a932571e35ac759da88505ee9df3ad9a3b1ee5f4",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}