Spring 2027

Proseminar in Data Science in Human Behavior

Proseminar in Data Science in Human Behavior covering current topics, capstone project discussions, journal article reviews, scientific communication training, and professional development.

offering recorded1 credits
Recorded instructors · Spring 2027 Caitlin Iverson

Summary

1 / 3

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=22 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=24 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=24 letter grades).

What you’ll be able to do

  • Understand how central concepts in data science get applied to problems from industry, government, and nonprofit sectors.

  • Develop skills for pitching your ideas to employers, funding agencies, other professionals, and the public.

  • Understand different potential career pathways and how to prepare for each.

  • Learn best practices for effectively communicating complex scientific ideas and outcomes.

Source: UW Guide

Grade history

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

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
PSYCH 709

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

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

Recent recorded grades — Fall 2024: 3.98 GPA, 100.0% A/AB (n=24 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=22 letter grades).

Historical instructors & teaching patterns

CAITLIN IVERSON is recorded teaching in Fall 2024, Spring 2025. 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
SEM 001Classroom Instruction0 / 300

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

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2025: 4.00 GPA, 100.0% A/AB (n=22 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=24 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=24 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Human behavioral data science
  • Capstone projects
  • Recent journal articles
  • Scientific communication
  • Professional development

Skills

  • Scientific communication to stakeholders
  • Pitching ideas to employers and agencies
  • Career pathway preparation

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.

Download part 1
Selected offering source records
PSYCH 709 · Spring 2027

Proseminar in Data Science in Human Behavior

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": "1274:820:025910",
    "course_id": "PSYCH 709",
    "course_uid": "course_dc0d54c741aaa056ac030901",
    "term_id": "1274",
    "source_course_id": "025910",
    "source_subject_id": "820",
    "title": "Proseminar in Data Science in Human Behavior",
    "credits_min": 1,
    "credits_max": 1,
    "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": "7d3ccc96d0d86bd8826171115824665bb7b6d6e29094170723904bca1b3955a4",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}