Fall 2026

Fault-tolerant Computing

Fault-Tolerant Computing covers fault modeling, redundancy, reliability evaluation, error codes, self-checking circuits, fault diagnosis, and software fault tolerance.

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

Summary

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Recent recorded grades — Spring 2014: 3.48 GPA, 74.1% A/AB (n=27 letter grades); Spring 2023: 3.75 GPA, 83.3% A/AB (n=18 letter grades); Fall 2025: 3.68 GPA, 90.9% A/AB (n=22 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ECE 753

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

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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SectionModeEnrolled / capacityWaitlist

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Meeting source records

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Student experience

the class

Recent recorded grades — Spring 2014: 3.48 GPA, 74.1% A/AB (n=27 letter grades); Spring 2023: 3.75 GPA, 83.3% A/AB (n=18 letter grades); Fall 2025: 3.68 GPA, 90.9% A/AB (n=22 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Fault modeling and redundancy techniques.
  • Reliability evaluation.
  • Error detecting and correcting codes.
  • Self-checking circuits.
  • Fault diagnosis.
  • Software fault tolerance.
  • Case studies.

Skills

  • Fault modeling and reliability evaluation.
  • Error detecting and correcting codes.
  • Self-checking circuit design.
  • Fault diagnosis.
  • Software fault tolerance.

Grades

Latest available · Fall 2025— 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 Fall 2025

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

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Grade history

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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": "946829e74ff37c1a48c23aca0a7fb1baceb8d74cae177ff044fcf03429586bb8",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}