Spring 2027

Computational Methods for Medical Image Analysis

Advanced review of medical image analysis techniques, covering segmentation, registration, and the application of statistical and machine learning methods to medical imaging tasks.

offering recorded3 credits
Recorded instructors · Spring 2027 Vikas Singh3.6/5

Summary

1 / 3

Recent recorded grades — Spring 2013: 3.90 GPA, 100.0% A/AB (n=5 letter grades); Fall 2016: 3.77 GPA, 86.7% A/AB (n=15 letter grades); Spring 2026: 3.64 GPA, 81.8% A/AB (n=11 letter grades).

What you’ll be able to do

  • Implement advanced ideas from machine learning, statistics, and computer vision for medical image analysis tasks.

  • Develop a deep technical understanding of the machine learning and statistical ideas being utilized in contemporary research in this area, and identification of blockers where research efforts can be focused

Source: UW Guide 1 UW Guide 2

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
BMI/COMPSCI 767

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

Vikas Singh

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.58/5 from 12 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Recent recorded grades — Spring 2013: 3.90 GPA, 100.0% A/AB (n=5 letter grades); Fall 2016: 3.77 GPA, 86.7% A/AB (n=15 letter grades); Spring 2026: 3.64 GPA, 81.8% A/AB (n=11 letter grades).

Historical instructors & teaching patterns

VIKAS SINGH is recorded teaching in Spring 2013, Fall 2015, Fall 2016, Spring 2026. 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 300
LEC 001Classroom Instruction0 / 300

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

Meeting source records
Download part 1

Student experience

the class

Recent recorded grades — Spring 2013: 3.90 GPA, 100.0% A/AB (n=5 letter grades); Fall 2016: 3.77 GPA, 86.7% A/AB (n=15 letter grades); Spring 2026: 3.64 GPA, 81.8% A/AB (n=11 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Advanced segmentation and registration methods.
  • Statistical and machine learning methods for medical image analysis.

Skills

  • Implementing advanced machine learning, statistics, and computer vision ideas for medical image analysis.
  • Developing deep technical understanding of machine learning and statistical ideas in contemporary research and identifying research blockers.

Grades

Latest available · Spring 2026— 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 2026

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

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

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Selected offering source records
BMI/COMPSCI 767 · Spring 2027

Computational Methods for Medical Image Analysis

Recorded 2026-10-14
BMI/COMPSCI 767 · Spring 2027

Computational Methods for Medical Image Analysis

Recorded 2026-10-14
Raw records 
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    "run_id": "20261014T203208-0851c9a1",
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    "offering_id": "1274:210:023799",
    "course_id": "BMI/COMPSCI 767",
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    "term_id": "1274",
    "source_course_id": "023799",
    "source_subject_id": "210",
    "title": "Computational Methods for Medical Image Analysis",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Every Other Fall"
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    "run_id": "20261014T203208-0851c9a1",
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    "offering_id": "1274:266:023799",
    "course_id": "BMI/COMPSCI 767",
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    "term_id": "1274",
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    "source_subject_id": "266",
    "title": "Computational Methods for Medical Image Analysis",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Every Other Fall"
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]
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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 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "ea5059873377dff7fb5fffafec382127a77fd8e148dca7102e4e1f86af946657",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}