Spring 2027

Small Animal Neurology

Small Animal Neurology covers obtaining neurological histories, interpreting exams and diagnostic tests, selecting diagnoses, and managing neurology cases.

offering recorded2 credits
Recorded instructors · Spring 2027 Natalia Libanio ZidanStarr Cameron

Summary

1 / 3

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=5 letter grades).

What you’ll be able to do

  • Perform a complete neurologic examination to localize neurologic lesions and explain relevant basic neuroanatomical pathways

  • Develop a prioritized differential diagnosis and refined problem list for general neurological lesion localizations based on the neurologic exam

  • Explain the differences between general neurologic imaging techniques and select appropriate diagnostic imaging for a patient

  • Understand the pharmacokinetics, standard dosage, and recommended monitoring of patients treated long-term with antiepileptic drugs

  • Administer appropriate drugs to treat status epilepticus and identify and monitor impacts of antiepileptic drugs in long-term patients

  • Effectively communicate with clients the appropriate treatment options and medical management for patients with neurologic diseases

  • Recognize situational limitations and offer or recommend referrals for a patient as needed

Source: UW Guide

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 fourth year standing

  • Declared in Doctor of Veterinary Medicine with fourth year standing
MEDSC-V 667

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

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

Professors

Spring 2027

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=5 letter grades). Includes jointly taught sections.

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=5 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

NATALIA LIBANIO ZIDAN is recorded teaching in Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

STARR CAMERON is recorded teaching in Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, 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
FLD 001Classroom Instruction0 / 1000

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 2025: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=5 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Neurological history taking, examination interpretation, and diagnostic testing
  • Neuroanatomical pathways and lesion localization
  • Differential diagnosis and problem list development
  • Neurologic imaging techniques and selection
  • Antiepileptic drug pharmacokinetics, dosing, and monitoring
  • Status epilepticus treatment and antiepileptic drug impact monitoring

Skills

  • Performing complete neurologic examinations and localizing lesions using neuroanatomical pathways
  • Developing prioritized differential diagnoses and problem lists from neurologic exams
  • Selecting appropriate neurologic diagnostic imaging techniques
  • Managing long-term antiepileptic drug therapy including pharmacokinetics and monitoring
  • Treating status epilepticus and monitoring antiepileptic drug impacts
  • Communicating treatment options and medical management to clients
  • Recognizing clinical limitations and recommending referrals

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.

Download part 1
Selected offering source records
MEDSC-V 667 · Spring 2027

Small Animal Neurology

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:623:019514",
    "course_id": "MEDSC-V 667",
    "course_uid": "course_7f2d37a5d6ea30b6bad89a33",
    "term_id": "1274",
    "source_course_id": "019514",
    "source_subject_id": "623",
    "title": "Small Animal Neurology",
    "credits_min": 2,
    "credits_max": 2,
    "typically_offered": "Fall, Spring, Summer"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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": "141ab6f8324919457c9061afafa0c650138e4fbf72c96fea5ed883bb2f64befd",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}