Spring 2027

Advanced Digital Image Processing

Advanced digital image processing covering spatio-temporal models, Markov random fields, MAP estimation, and applications to restoration, compression, and tomography.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

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Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2025: 3.44 GPA, 64.0% A/AB (n=25 letter grades).

Grade history

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average GPA
letter grades
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AB
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BC
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ECE 738

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist

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Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=21 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2025: 3.44 GPA, 64.0% A/AB (n=25 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Spatio-temporal image models and Markov random fields
  • Inverse problems and robust statistics
  • Image restoration, motion estimation, and tomography

Skills

  • Spatio-temporal image modeling
  • Parameter estimation and digital filtering
  • Image restoration and compression applications

Grades

Latest available · Spring 2025— not enough history to project Spring 2027.

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 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Student reviews

Original comments behind the course and instructor summaries.

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Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
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": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "5b79a211b7e811a0aada71160c51033cf705bf5acddb0ac16f75349a79d8e4c8",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}