Spring 2027

Mentoring in Behavioral Data Science

Mentoring in Behavioral Data Science teaches students to mentor junior students by exploring effective strategies and applying key mentoring areas like communication and feedback.

offering recorded1–2 credits
Recorded instructors · Spring 2027 Caitlin Iverson

Summary

What you’ll be able to do

  • Explore multiple strategies for effective mentoring

  • Understand how to apply key areas of mentoring (aligning expectations, effective communication, ethical behavior, active listening, assessing understanding, constructive feedback, time management, etc.)

  • Develop skills for mentoring in behavioral data science

  • Collaborate and problem-solve with peers

  • Articulate mentor philosophy and personal development goals

Source: UW Guide

Grade history

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average GPA
letter grades

No recorded grade history.

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Prerequisites

Course map

Consent of instructor

  • Consent of instructor
PSYCH 901

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

Prerequisite text tree
  • Consent of instructor

Professors

Spring 2027
Historical instructors & teaching patterns

CAITLIN IVERSON is recorded teaching in Fall 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

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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
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Student experience

the class

Learn how to mentor in the field of behavioral data science. Apply mentoring skills to a more junior student.

difficulty & workload

No workload feedback recorded.

Topics

  • Strategies for effective mentoring
  • Key areas of mentoring such as aligning expectations, communication, ethics, and feedback
  • Practical application of mentoring skills to junior students

Skills

  • Mentoring in behavioral data science
  • Applying key areas of mentoring including aligning expectations, effective communication, ethical behavior, active listening, assessing understanding, constructive feedback, and time management
  • Articulating mentor philosophy and personal development goals

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Catalog observation history

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Selected offering source records
PSYCH 901 · Spring 2027

Mentoring in Behavioral Data Science

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": "1274:820:027156",
    "course_id": "PSYCH 901",
    "course_uid": "course_372d6406bb0484bbb108d31b",
    "term_id": "1274",
    "source_course_id": "027156",
    "source_subject_id": "820",
    "title": "Mentoring in Behavioral Data Science",
    "credits_min": 1,
    "credits_max": 2,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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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
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "6a680cd25e850126007d1c8cd6f321cd89936203470adea05efc473cce6edba6",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}