Spring 2027

Integrated Food Functionality

Integrated Food Functionality covers the molecular basis of food properties, the impact of ingredients and processing on texture, flavor, and structure, and the design of new or reformulated foods to meet quality expectations.

offering recorded4 credits
Recorded instructors · Spring 2027 Audrey Girard3.7/5Bradley BollingRichard Hartel +1 more

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.43 GPA, 53.3% A/AB (n=15 letter grades); Spring 2025: 3.54 GPA, 64.3% A/AB (n=14 letter grades); Spring 2026: 3.55 GPA, 66.7% A/AB (n=21 letter grades).

What you’ll be able to do

  • Explain the chemical and physical basis for interactions taking place between food components and how these influence the properties of food structures

  • Relate the quality of foods to the chemical composition, processing and potential for changes or reactions to occur during storage (includes physical, chemical, biochemical, and microbial reactions/changes)

  • Select food ingredients that give specific functional benefits for use in product development, product reformulation, or problem-solving situations

  • Apply sensory and rheological methods of evaluation in analysis of foods (e.g., Quality Control), product development, or reformulation of existing products

  • Design and perform a shelf-life test (including normal storage conditions and accelerated tests) and be able to apply statistical approaches to determine acceptable shelf-life of products made with different ingredients/processing conditions/storage situations

  • Assemble effective written and oral communications regarding food structure and functionality

Source: UW Guide

Grade history

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average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

FOOD SCI 602

FOODSCI 514

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

Prerequisite text tree

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.00/5 from 2 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

Recent recorded grades — Spring 2026: 3.55 GPA, 66.7% A/AB (n=21 letter grades). Includes jointly taught sections.

Recent recorded grades — Spring 2024: 3.43 GPA, 53.3% A/AB (n=15 letter grades); Spring 2025: 3.54 GPA, 64.3% A/AB (n=14 letter grades); Spring 2026: 3.55 GPA, 66.7% A/AB (n=21 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

BRADLEY BOLLING is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

RICHARD HARTEL is recorded teaching in Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

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

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 420
LAB 301Classroom Instruction0 / 420

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

Meeting source records

Student experience

the class

Recent recorded grades — Spring 2024: 3.43 GPA, 53.3% A/AB (n=15 letter grades); Spring 2025: 3.54 GPA, 64.3% A/AB (n=14 letter grades); Spring 2026: 3.55 GPA, 66.7% A/AB (n=21 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Molecular basis of food functional properties.
  • Impact of ingredients and processing on texture, flavor, nutrition, and structure.
  • Design of new or reformulated foods to meet specific quality expectations.
  • Food quality relative to chemical composition, processing, and storage reactions.

Skills

  • Explain chemical and physical interactions between food components and their influence on food structures.
  • Select food ingredients for specific functional benefits in product development or reformulation.
  • Apply sensory and rheological methods for food analysis, quality control, and product development.
  • Design and perform shelf-life tests using statistical approaches to determine product stability.
  • Communicate effectively about food structure and functionality in written and oral formats.

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

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
FOODSCI 514 · Spring 2027

Integrated Food Functionality

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": "1274:390:007589",
    "course_id": "FOODSCI 514",
    "course_uid": "course_7f73d355b79d75ced62c210a",
    "term_id": "1274",
    "source_course_id": "007589",
    "source_subject_id": "390",
    "title": "Integrated Food Functionality",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Spring"
  }
]
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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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": "b36493c84736ce37570ee7aefdce5c2c26c38b61a3918eb49029fa5ae3bbe151",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}