Spring 2027

People First Year Seminar

PEOPLE First Year Seminar explores personal, institutional, and community resources to optimize academic success and persistence.

offering recorded1 credits
Recorded instructors · Spring 2027 Alex Hopp

Summary

What you’ll be able to do

  • Identify campus resources to support holistic comfort and growth during their college experience.

  • Identify and grow feelings of belonging within PEOPLE and at UW-Madison through engagement with multiple evidence-based perspectives on challenges and solutions to college success.

  • Identify and engage with resources for targeted career exploration, including tailored support for the growth of concrete competencies needed for career readiness.

  • Describe university requirements, pathways, and other tools for academic excellence, including time management, study strategies, critical thinking, and self-awareness.

  • Reflect on inequities, injustice, and other obstacles to success through discussion of leadership, solidarity, and community engagement opportunities.

Source: UW Guide

Grade history

↗
average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

None

  • None
COUNPSY 117

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

Prerequisite text tree
  • None

Professors

Spring 2027

No course-specific feedback yet.

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 / 250
SEM 002Classroom Instruction0 / 250
SEM 003Classroom Instruction0 / 250
SEM 004Classroom Instruction0 / 250

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

Exploration of personal, institutional, and community resources that optimize academic success and persistence. Utilizes didactic and experiential methods to develop higher level learning, skill, and understanding. Analysis of identity factors and impact on experience and belonging in higher education.

difficulty & workload

No workload feedback recorded.

Topics

  • Personal, institutional, and community resources for academic success and persistence.
  • Identity factors and their impact on experience and belonging in higher education.
  • Targeted career exploration and development of concrete competencies for career readiness.
  • Inequities, injustice, and obstacles to success; leadership, solidarity, and community engagement.

Skills

  • Identify personal, institutional, and community resources to optimize academic success and persistence.
  • Analyze identity factors and their impact on experience and belonging in higher education.
  • Describe university requirements, pathways, and tools for academic excellence such as time management, study strategies, critical thinking, and self-awareness.

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

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Catalog observation history

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Selected offering source records
COUNPSY 117 · Spring 2027

PEOPLE First Year Seminar

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": "1274:270:027334",
    "course_id": "COUNPSY 117",
    "course_uid": "course_d1b1294df9f964531922af84",
    "term_id": "1274",
    "source_course_id": "027334",
    "source_subject_id": "270",
    "title": "PEOPLE First Year Seminar",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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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": "7b6af888c101f581b63c830ca5b293a29d4646d3050d439f4e9db1bcddd8092e",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}