Spring 2027

Food Analysis

Food Analysis applies quantitative techniques to determine the composition and quality of food products, covering analytical methods, statistical data analysis, and communication of results.

offering recorded4 credits
Recorded instructors · Spring 2027 Arnoldo Lopez-Hernandez3.7/5

Summary

1 / 6

Past student reviews · Arnoldo Lopez-Hernandez

The course carried high grading expectations, though the instructor was available outside of class for assistance with homework and labs.

What you’ll be able to do

  • Choose appropriate analytical techniques to determine the composition of foods

  • Clarify the underlying principles of food analytical methods

  • Integrate basic statistical methods into experimental data analysis

  • Assemble effective written and oral communications regarding composition of food

Source: UW Guide

Grade history

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

Prerequisites

Course map

(STAT 301 or 371) and FOOD SCI 410

FOODSCI 412 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
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.90/5 from 10 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.

For this course: 5.0/5 raw quality · 4.0/5 difficulty · 1 reviews

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

Past student reviews · Arnoldo Lopez-Hernandez

Arnoldo Lopez-Hernandez was described as hilarious and incredibly caring, with high grading expectations. He was noted to be very accessible outside of class for homework and lab help, though he could be a bit disorganized due to teaching several classes.

Recent recorded grades — Spring 2024: 2.71 GPA, 33.3% A/AB (n=12 letter grades); Spring 2025: 2.39 GPA, 18.2% A/AB (n=22 letter grades); Spring 2026: 2.89 GPA, 39.1% A/AB (n=23 letter grades).

Historical instructors & teaching patterns

ARNOLDO LOPEZ-HERNANDEZ 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 / 500

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

Past student reviews · Arnoldo Lopez-Hernandez

Students found Arnoldo Lopez-Hernandez to be hilarious and incredibly caring, noting his high expectations were balanced by his accessibility for help.

Recent recorded grades — Spring 2024: 2.71 GPA, 33.3% A/AB (n=12 letter grades); Spring 2025: 2.39 GPA, 18.2% A/AB (n=22 letter grades); Spring 2026: 2.89 GPA, 39.1% A/AB (n=23 letter grades).

difficulty & workload

Past student reviews · Arnoldo Lopez-Hernandez

The course carried high grading expectations, though the instructor was available outside of class for assistance with homework and labs.

Past student reviews · Arnoldo Lopez-Hernandez

One student noted that the instructor could be a bit disorganized, which they attributed to him teaching several classes simultaneously.

Topics

  • Quantitative techniques for food composition and quality
  • Underlying principles of food analytical methods
  • Basic statistical methods for experimental data analysis

Skills

  • Choosing appropriate analytical techniques for food composition
  • Clarifying underlying principles of food analytical methods
  • Integrating basic statistical methods into experimental data analysis
  • Producing effective written and oral communications about food composition

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 412 · Spring 2027

Food Analysis

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": "1274:390:007555",
    "course_id": "FOODSCI 412",
    "course_uid": "course_626ddc252a91e9eb5917df7d",
    "term_id": "1274",
    "source_course_id": "007555",
    "source_subject_id": "390",
    "title": "Food Analysis",
    "credits_min": 4,
    "credits_max": 4,
    "typically_offered": "Fall"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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": "bb55c0e948edddf41077ba9d53bb31e14b587b7354f8c5fbe368c9cf66309423",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}