Spring 2027

Consumer Science Graduate Workshop

A Consumer Science graduate workshop that develops professional skills by providing opportunities for presenting research and respectfully critiquing the work of others.

offering recorded1 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.85 GPA, 92.3% A/AB (n=13 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=20 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=18 letter grades).

What you’ll be able to do

  • Develop research questions through presenting original research and/or critiquing the research questions of others

  • Develop skills in creating and delivering research presentations through presentation and/or critiquing the presentations of others

  • Receive and/or respond to formal and informal feedback from peers and faculty

  • Create materials for the job market and professional skills through course assignments

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
CNSRSCI 920

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

Prerequisite text tree
  • Graduate/professional standing

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 / 200

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 2025: 3.85 GPA, 92.3% A/AB (n=13 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=20 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=18 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Developing research questions through original research and critique
  • Creating and delivering research presentations
  • Job market preparation and professional skills

Skills

  • Professional skills in presenting research and critiquing the work of others
  • Creating and delivering research presentations
  • Receiving and responding to formal and informal feedback
  • Creating materials for the job market

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
CNSRSCI 920 · Spring 2027

Consumer Science Graduate Workshop

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": "1274:271:026767",
    "course_id": "CNSRSCI 920",
    "course_uid": "course_f943bb92a95aee73e4197d0c",
    "term_id": "1274",
    "source_course_id": "026767",
    "source_subject_id": "271",
    "title": "Consumer Science Graduate Workshop",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

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": "6a8fa157a2f50de3916b7f43cfa47ffaf0645afbb6050e8b10fd65eac78d8e47",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}