Research Colloquium

Research Colloquium covers research methods to support developing a research paper proposal in agricultural and applied economics, providing structured opportunities to execute a research paper.

offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.00 GPA, 0.0% A/AB (n=10 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=11 letter grades).

What you’ll be able to do

  • Give constructive peer feedback.

  • Compose a research paper proposal.

  • Produce a clear and professional research paper proposal presentation.

  • Summarize the main characteristics of the data and empirical strategy for the paper.

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Agricultural & Applied Economics PhD

  • Declared in Agricultural & Applied Economics PhD
AAE 780 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
  • Declared in Agricultural & Applied Economics PhD

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

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
SEM 001Classroom Instruction0 / 150

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: 4.00 GPA, 100.0% A/AB (n=9 letter grades); Spring 2025: 3.00 GPA, 0.0% A/AB (n=10 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=11 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Research methods for agricultural and applied economics
  • Refining research interests, identifying literature gaps, and academic creativity
  • Data preparation, analysis, result presentation, contribution framing, paper production, critique response, and oral presentation

Skills

  • Lining up data, doing analysis, sifting through and presenting results, framing a contribution, producing a full paper, responding to critiques, and orally presenting findings.
  • Refine research interests, identify gaps in the literature, and explore academic creativity.
  • Giving constructive peer feedback.

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
AAE 780 · Spring 2027

Research Colloquium

Recorded 2026-10-14
Raw records
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    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:108:024182",
    "course_id": "AAE 780",
    "course_uid": "course_989b1c2aab8fd3654a54847d",
    "term_id": "1274",
    "source_course_id": "024182",
    "source_subject_id": "108",
    "title": "Research Colloquium",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
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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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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": "c15dbcd4c5b285ae75b42731aa66cab5061277545849b28dbb309a76f034c839",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}