Fall 2026

Fundamental Principles of Veterinary Anatomy

COMPBIO 500 covers fundamental principles of veterinary anatomy, focusing on gross anatomical structure and dissection using the dog as a model.

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

Summary

1 / 2

Recent recorded grades — Fall 2022: 3.32 GPA, 57.3% A/AB (n=96 letter grades); Fall 2023: 3.47 GPA, 65.3% A/AB (n=95 letter grades); Fall 2024: 3.36 GPA, 68.4% A/AB (n=95 letter grades).

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Doctor of Veterinary Medicine with first year standing

  • Declared in Doctor of Veterinary Medicine with first year standing
COMPBIO 500

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

Prerequisite text tree
  • Declared in Doctor of Veterinary Medicine with first year standing

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist

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

Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Fall 2022: 3.32 GPA, 57.3% A/AB (n=96 letter grades); Fall 2023: 3.47 GPA, 65.3% A/AB (n=95 letter grades); Fall 2024: 3.36 GPA, 68.4% A/AB (n=95 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Gross anatomical structure
  • Anatomical patterns in veterinary species
  • Canine anatomy as a model
  • Dissection of all body systems
  • Clinical implications of anatomy

Skills

  • Dissection of all body systems
  • Identification of major anatomical patterns in veterinary species
  • Understanding clinical implications of anatomical structures

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 4 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.08 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2024 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1333 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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.

Selected offering source records

No offering records for the selected term.

Raw records
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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": "e1f75ebca9394c58ead3845e7ed4cc16b680ed92423ce392f74da2db69780afe",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}