Fall 2026

Systems Neuroscience

Introduction to the anatomy and physiology of the mammalian nervous system, covering brain subdivisions, sensory/motor systems, and higher order functions through lectures and dissections.

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

Summary

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Recent recorded grades — Spring 2024: 3.66 GPA, 68.2% A/AB (n=22 letter grades); Spring 2025: 3.60 GPA, 68.0% A/AB (n=25 letter grades); Spring 2026: 3.38 GPA, 56.2% A/AB (n=16 letter grades).

Grade history

average GPA
letter grades
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Prerequisites

Course map

NEURODPT/​NTP 610 or graduate/professional standing

NEURODPT/NTP/PSYCH 611 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

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Calendar & sections

Fall 2026

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Meeting source records

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Student experience

the class

Recent recorded grades — Spring 2024: 3.66 GPA, 68.2% A/AB (n=22 letter grades); Spring 2025: 3.60 GPA, 68.0% A/AB (n=25 letter grades); Spring 2026: 3.38 GPA, 56.2% A/AB (n=16 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Neuroanatomy of major human brain subdivisions.
  • Major sensory and motor systems.
  • Higher order brain functions.
  • Primary literature analysis.
  • Neuroanatomical dissection techniques.

Skills

  • Reading and interpreting primary scientific literature.
  • Performing hands-on neuroanatomical dissections.

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

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AB
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BC
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F

Grades over time

Through Spring 2026

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Sources & history

UW–Madison

Catalog & offerings

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Raw records
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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "a5859bd4872c9ccf89dc0d2bace4ad038b55b98dc968bd233985d99ea6f4c005",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}