Spring 2027

Methods for Neuroimaging Research

A practical course on neuroimaging research covering statistical image analysis, functional BOLD MRI, structural MRI morphometry, and diffusion tensor imaging through lectures and computer exercises.

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

Summary

1 / 4

Recent recorded grades — Fall 2023: 3.90 GPA, 96.0% A/AB (n=25 letter grades); Fall 2024: 3.94 GPA, 96.8% A/AB (n=31 letter grades); Fall 2025: 3.65 GPA, 87.0% A/AB (n=23 letter grades).

What you’ll be able to do

  • Develop a basic understanding of magnetic resonance imaging, anatomical imaging methods, functional BOLD MRI (fMRI), and diffusion tensor imaging (DTI).

  • Learn and apply basic methods for statistical image analyses.

  • Gain hands-on experience with tools for processing and analyses of fMRI, DTI and anatomic brain images.

  • Develop and demonstrate skills to independently process, analyze, troubleshoot and interpret MRI neuroimaging data

Source: UW Guide

Grade history

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

Prerequisites

Course map

Graduate/professional standing or (PHYSICS 104, 202 or 208)

MEDPHYS 651

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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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Student experience

the class

Recent recorded grades — Fall 2023: 3.90 GPA, 96.0% A/AB (n=25 letter grades); Fall 2024: 3.94 GPA, 96.8% A/AB (n=31 letter grades); Fall 2025: 3.65 GPA, 87.0% A/AB (n=23 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Functional BOLD MRI, structural MRI morphometry, and diffusion tensor imaging
  • Statistical image analysis and result interpretation
  • Physics and methods of image acquisition

Skills

  • Understanding of MRI, anatomical imaging, fMRI, and DTI
  • Application of basic statistical image analysis methods
  • Hands-on processing and analysis of fMRI, DTI, and anatomic brain images
  • Independent processing, troubleshooting, and interpretation of MRI neuroimaging data

Grades

Latest available · Fall 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 Fall 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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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": "c2c7af1fe90d14c889247d42fd5aa2cde89aa0a9f6bd0837bdadaf86c6f94c54",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}