Introductory Cals Honors Seminar

INTRODUCTORY CALS HONORS SEMINAR teaches the basics of being a researcher, including scientific community norms, ethics, career options, literature use, and proposal preparation.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 2

Recent recorded grades — Spring 2024: 3.98 GPA, 100.0% A/AB (n=63 letter grades); Spring 2025: 3.99 GPA, 100.0% A/AB (n=70 letter grades); Spring 2026: 3.96 GPA, 98.8% A/AB (n=85 letter grades).

Grade history

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

Prerequisites

Course map

Declared in a College of Agricultural and Life Sciences (CALS) Honors program

  • Declared in a College of Agricultural and Life Sciences (CALS) Honors program
INTER-AG 288 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 a College of Agricultural and Life Sciences (CALS) Honors program

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist

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

Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Spring 2024: 3.98 GPA, 100.0% A/AB (n=63 letter grades); Spring 2025: 3.99 GPA, 100.0% A/AB (n=70 letter grades); Spring 2026: 3.96 GPA, 98.8% A/AB (n=85 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Scientific community norms, papers, etiquette, and grants
  • Research ethics
  • Career options in science
  • Using the scientific literature
  • Preparation of research proposals

Skills

  • Preparation of research proposals
  • Using the scientific literature
  • Research ethics

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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

No offering records for the selected term.

Raw records
[]
Rate My Professors

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.

Explore recorded grades
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": "0164246a05e809dd69159ed867cc17e7c4ec58d91dc184bbd9617832cbee30d5",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}