Spring 2027

Reproductive Management of Dairy Cattle

Reproductive Management of Dairy Cattle provides technical knowledge and practical skills to design and execute effective reproductive management programs, covering physiology and hands-on techniques like AI and ultrasound.

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

Summary

1 / 3

Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Spring 2023: 3.42 GPA, 66.7% A/AB (n=6 letter grades); Spring 2024: 3.78 GPA, 88.9% A/AB (n=9 letter grades).

What you’ll be able to do

  • Identify female reproductive tract structures, reproductive hormones, and know the changes during the estrous cycle

  • Design a reproductive management program for cows or heifers

  • Identify use of different pregnancy diagnosis procedures in a reproductive management program

  • Evaluate reproductive efficiency in dairy farms. Design new reproductive management programs based on evaluation of farm data

  • Design and execute a superovulation program

  • Describe process used for artificial insemination of dairy cattle

  • Describe and interpret an ultrasound of the ovaries and uterus of dairy cattle.

  • Complete a research project using ultrasound

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

DY SCI/​AN SCI 434

DYSCI 534

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

Prerequisite text tree

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

Schedule loads here as you scroll.

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 — Spring 2022: 4.00 GPA, 100.0% A/AB (n=6 letter grades); Spring 2023: 3.42 GPA, 66.7% A/AB (n=6 letter grades); Spring 2024: 3.78 GPA, 88.9% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Female reproductive tract structures, hormones, and estrous cycle changes.
  • Pregnancy diagnosis procedures in reproductive management.
  • Reproductive physiology and practical research results underlying management programs.

Skills

  • Designing and executing reproductive management programs, including superovulation protocols.
  • Performing hands-on reproductive techniques such as semen handling, artificial insemination, and ultrasound of ovaries and uterus.
  • Evaluating reproductive efficiency in dairy farms and designing programs based on farm data.

Grades

Latest available · Spring 2024— 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 2024

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.

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
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "2026249b775cb44278859664a09c0685f123dff16fb04fae6f9b5747ac9d8723",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}