Spring 2027

Aae Graduate Practical Training/internship

Graduate practical training or internship in Agricultural and Applied Economics involving hands-on collaboration with industry partners under instructor oversight.

offering recorded1–6 credits
Recorded instructors · Spring 2027 Jing YiJordan Van Rijn

Summary

What you’ll be able to do

  • Apply theoretical knowledge gained in coursework to an experiential learning opportunity with a stakeholder business/organization

  • Produce and deliver recommendations to stakeholder business/organization through a formal written report and professional oral presentation

Source: UW Guide

Grade history

↗
average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

Consent of instructor

  • Consent of instructor
AAE 899

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

Prerequisite text tree
  • Consent of instructor

Professors

Spring 2027

No course-specific feedback yet.

Historical instructors & teaching patterns

JING YI is recorded teaching in Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

JORDAN VAN RIJN is recorded teaching in 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
IND 021Classroom Instruction0 / 30
IND 022Classroom Instruction0 / 30

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

Meeting source records

No records available.

Student experience

the class

Real-world, hands-on collaboration with industry partners to offer practical training projects or internships under the direction and oversight of an instructor in the Department of Agricultural and Applied Economics. The goal of both internships and practical training is to offer valuable opportunities to acquire practical, industry-related skills through hands-on learning.

difficulty & workload

No workload feedback recorded.

Topics

  • Practical training projects and internships with industry partners.
  • Experiential learning with stakeholder businesses or organizations.

Skills

  • Acquiring practical, industry-related skills through hands-on learning.
  • Applying theoretical knowledge from coursework to experiential learning opportunities.
  • Producing formal written reports and delivering professional oral presentations.

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

More grade details Grade mix, volume & source data

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.

Download part 1
Selected offering source records
AAE 899 · Spring 2027

AAE Graduate Practical Training/Internship

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": "1274:108:026655",
    "course_id": "AAE 899",
    "course_uid": "course_40afa2d4979515b256a61797",
    "term_id": "1274",
    "source_course_id": "026655",
    "source_subject_id": "108",
    "title": "AAE Graduate Practical Training/Internship",
    "credits_min": 1,
    "credits_max": 6,
    "typically_offered": "Not Applicable"
  }
]
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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
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "f23fafd0e17ce74939f89b8c4298cb3fcc1f972ef05f40d72b628bd84d431f3d",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}