Spring 2027

Dairy Herd Management I

An overview of practical dairy herd management covering reproduction, nutrition, milk quality, replacements, facilities, and records, with labs focused on practical application and decision making.

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

Summary

1 / 8

Past student reviews · Randy Shaver

The course was characterized as laid-back and easy-going, with a difficulty rating of 3.

What you’ll be able to do

  • Apply dairy management terms and systems to real-world situations.

  • Evaluate farm management practices using dairy industry benchmarks.

  • Identify, formulate and solve dairy management related problems using appropriate information and approaches.

  • Assess effective dairy herd management using dairy records.

  • Work productively in teams to provide constructive input and leadership on dairy management related problems.

  • Communicate effectively through written reports, oral presentations and discussions.

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 101

DYSCI 233 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

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

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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
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Student experience

the class

Past student reviews · Randy Shaver

Students described the class as fun and engaging, with a guest lecturer who was passionate, approachable, and enthusiastic about forage and dairy nutrition.

Recent recorded grades — Fall 2023: 3.83 GPA, 93.3% A/AB (n=15 letter grades); Fall 2024: 3.47 GPA, 60.0% A/AB (n=15 letter grades); Fall 2025: 3.65 GPA, 76.5% A/AB (n=17 letter grades).

difficulty & workload

Past student reviews · Randy Shaver

The course was characterized as laid-back and easy-going, with a difficulty rating of 3.

Past student reviews · Randy Shaver

The instructor's down-to-earth demeanor and enthusiasm created a positive learning environment, earning a high quality rating.

Topics

  • Reproduction, nutrition, milk quality, raising dairy replacements, facilities, and records
  • Practical laboratory applications, analysis of alternatives, and decision making

Skills

  • Applying dairy management terms and systems to real-world situations
  • Evaluating farm management practices using dairy industry benchmarks
  • Assessing effective dairy herd management using dairy records
  • Working in teams to provide constructive input and leadership on dairy management problems

Grades

Latest available · Fall 2025— 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 Fall 2025

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.

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Selected offering source records

No offering records for the selected term.

Raw records 
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Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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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
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "98e383c95e66197f9e797b0f2a6ebad275749f9c015f42bbb99b44e14892c191",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}