Spring 2027

Food and Bioprocessing Operations

Covers mechanics, fluid dynamics, and heat/mass transfer principles applied to food and bioprocessing operations, focusing on unit operations for Wisconsin industries like dairy, ethanol, and pulp/paper.

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

Summary

1 / 4

Recent recorded grades — Fall 2021: 2.94 GPA, 25.0% A/AB (n=8 letter grades); Fall 2022: 2.71 GPA, 42.9% A/AB (n=7 letter grades); Fall 2024: 2.58 GPA, 15.4% A/AB (n=13 letter grades).

What you’ll be able to do

  • Describe bioprocessing operations (e.g., food processing and biofuels)

  • Develop mass and energy balances on unit operations (e.g., heat exchangers, evaporators, dryers, filters)

  • Develop a series of unit operations to perform the desired transformations of mass and energy in bioprocessing operations

  • Stimulate a system or process to determine impact of theoretical changes and conduct virtual experiments to optimize components or system

  • Consider the effect of public health, safety, and welfare, as well as global, culture, social, environmental, and economic factors on process design

  • Design a system to meet the operational and regulatory demands of food and bioprocessing plants

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

(BSE 249 or CBE 250), (CIV ENGR 310,CBE 320, orM E 363), or graduate/professional standing

    • take all
    • graduate/professional standing
    take one
BSE 461 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
  • Any of
    • All of
    • graduate/professional standing

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

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Student experience

the class

Recent recorded grades — Fall 2021: 2.94 GPA, 25.0% A/AB (n=8 letter grades); Fall 2022: 2.71 GPA, 42.9% A/AB (n=7 letter grades); Fall 2024: 2.58 GPA, 15.4% A/AB (n=13 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Mechanics, fluid dynamics, and heat and mass transfer principles
  • Unit operations and equipment for pulp and paper, dairy, ethanol, forage, and grain industries
  • Public health, safety, welfare, and socio-economic factors in process design

Skills

  • Describing bioprocessing operations including food processing and biofuels
  • Developing mass and energy balances on unit operations such as heat exchangers, evaporators, dryers, and filters
  • Developing series of unit operations for mass and energy transformations in bioprocessing
  • Simulating systems and conducting virtual experiments to optimize components
  • Designing systems to meet operational and regulatory demands of food and bioprocessing plants

Grades

Latest available · Fall 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 Fall 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.

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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.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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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": "1c090c6395c572df393c6775df1f10480288262fa81f60ff329fe7ae0b74f1f8",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}