Fall 2026

Chemistry and Technology of Dairy Products

CHEMISTRY AND TECHNOLOGY OF DAIRY PRODUCTS covers milk component chemistry and processing changes for products like ice cream, butter, and cheese.

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

Summary

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Recent recorded grades — Spring 2018: 3.25 GPA, 50.0% A/AB (n=6 letter grades); Spring 2022: 2.42 GPA, 16.7% A/AB (n=6 letter grades); Spring 2026: 3.98 GPA, 100.0% A/AB (n=23 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

FOOD SCI 410

FOODSCI 511

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Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Meeting source records

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Student experience

the class

Recent recorded grades — Spring 2018: 3.25 GPA, 50.0% A/AB (n=6 letter grades); Spring 2022: 2.42 GPA, 16.7% A/AB (n=6 letter grades); Spring 2026: 3.98 GPA, 100.0% A/AB (n=23 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Milk components: protein, lipids, carbohydrate, salts, enzymes
  • Manufacturing processes for ice cream, butter, and cheese
  • Dairy technology and microbiological quality

Skills

  • Analysis of milk component chemistry
  • Understanding chemical and physical changes in dairy processing
  • Dairy technology and quality assessment

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

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

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Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

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Grade history

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "7dc7f49e7087afb0f49027ce131df9c545d1da463a39773c49c13c3e04648df7",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}