Spring 2027

Veterinary Genetics

Veterinary Genetics covers the molecular basis of monogenic and polygenic traits in animal disease and production, including genetic defects, epigenetics, and gene-environment interactions.

offering recorded3 credits
Recorded instructors · Spring 2027 Hasan Khateeb

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.13 GPA, 46.2% A/AB (n=39 letter grades); Spring 2025: 3.40 GPA, 63.4% A/AB (n=41 letter grades); Spring 2026: 3.34 GPA, 59.2% A/AB (n=76 letter grades).

What you’ll be able to do

  • Retrieve, analyze, and interpret gene- and genome-level data related to species conservation, genetic variation, and gene function.

  • Apply genotype data to determine animal parentage and map genetic variants underlying phenotypic variation in animal traits.

  • Identify methods used to discover, analyze, and modify genetic information to alter phenotypes.

  • Critically evaluate primary literature on genetic variants and their roles in animal phenotypes and disease.

  • Describe how gene-by-environment interactions influence gene expression and how these effects may be transmitted across generations.

  • Explain the mechanisms by which epigenetic marks regulate gene expression and how these marks can be experimentally manipulated.

  • Use knowledge of animal biotechnology and biomedical models to design experiments aimed at treating animal diseases or altering phenotypes.

  • Develop a testable hypothesis based on observations related to the genetic basis of animal production and design experiments to evaluate that hypothesis.

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

ZOOLOGY/​BIOLOGY/​BOTANY 151, (ZOOLOGY/​BIOLOGY 101 and 102), (BIOCORE 382, 383, and 384), or graduate/professional standing

ANSCI 362

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

Prerequisite text tree

Professors

Spring 2027
Historical instructors & teaching patterns

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

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LAB 301Classroom Instruction0 / 340
LAB 302Classroom Instruction0 / 340
LAB 303Classroom Instruction0 / 340
LEC 001Classroom Instruction0 / 1020

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

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2024: 3.13 GPA, 46.2% A/AB (n=39 letter grades); Spring 2025: 3.40 GPA, 63.4% A/AB (n=41 letter grades); Spring 2026: 3.34 GPA, 59.2% A/AB (n=76 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Molecular basis of monogenic and polygenic trait inheritance
  • Discovery, diagnosis, and treatment of genetic defects
  • Gene-environment interactions
  • Epigenetics in livestock production and health
  • Application of biomedical research to human and animal questions

Skills

  • Analyze and interpret gene- and genome-level data
  • Map genetic variants underlying phenotypic variation
  • Design experiments using animal biotechnology and biomedical models
  • Describe gene-by-environment interactions and transgenerational effects

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

Where this course fits relative to

Latest available grades · Spring 2026 · 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

1280 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.

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Selected offering source records
ANSCI 362 · Spring 2027

Veterinary Genetics

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": "1274:604:022181",
    "course_id": "ANSCI 362",
    "course_uid": "course_d27a050d166a73108ae8697c",
    "term_id": "1274",
    "source_course_id": "022181",
    "source_subject_id": "604",
    "title": "Veterinary Genetics",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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": "945597fb93b3f9828edb37255ba45ecbca95225b9bfde4cc49cbde34df56b9fc",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}