Food Business Consulting

AAE 220 Food Business Consulting teaches students to collaborate in teams to provide strategic recommendations and actionable solutions for real-world food business client issues.

offering recorded3 credits
Recorded instructors · Fall 2026 Jeremy Beach

Summary

Lectures are small, with a median of 8 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

Grade history

average GPA
letter grades

No recorded grade history.

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Prerequisites

Course map

Consent of instructor

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AAE 220

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Professors

Fall 2026
Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction8 / 400

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Student experience

the class

Collaborate with a multidisciplinary team to provide strategic recommendations to a food business client on a real-world issue. Explore critical business, economic, marketing, and management challenges that food businesses encounter. Summarize project results and develop actionable solutions for client and industry stakeholders.

difficulty & workload

No workload feedback recorded.

Topics

  • Business, economic, marketing, and management challenges in food businesses

Skills

  • Multidisciplinary team collaboration
  • Strategic recommendation development
  • Project result summarization
  • Actionable solution development

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Selected offering source records
AAE 220 · Fall 2026

Food Business Consulting

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:108:027330",
    "course_id": "AAE 220",
    "course_uid": "course_2674d8021b6839692998d5e7",
    "term_id": "1272",
    "source_course_id": "027330",
    "source_subject_id": "108",
    "title": "Food Business Consulting",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "6998636350746325195c45f7dd59bc58705545bf25685e42d46dd1af336424f6",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}