Fall 2026

People First Year Seminar

A first-year seminar exploring resources to optimize academic success, persistence, and belonging through identity analysis.

offering recorded1 credits

Recorded instructors · Fall 2026 Alex Hopp Emma Porterwinkel Kiara Rios

Summary

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Grade history

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Prerequisites

Course map

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COUNPSY 117

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Professors

Fall 2026

Kiara Rios

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Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Section	Mode	Enrolled / capacity	Waitlist
SEM 001	Classroom Instruction	26 / 25	1
SEM 002	Classroom Instruction	25 / 25	0
SEM 003	Classroom Instruction	27 / 25	0
SEM 004	Classroom Instruction	24 / 25	0

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

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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

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Topics

Personal, institutional, and community resources
Identity factors and belonging

Skills

Higher level learning and skill development
Analysis of identity and belonging

Grades

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Sources & history

UW–Madison

Catalog & offerings

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Selected offering source records

COUNPSY 117 · Fall 2026

PEOPLE First Year Seminar

Recorded 2026-09-07

Raw records

[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:270:027334",
    "course_id": "COUNPSY 117",
    "course_uid": "course_d1b1294df9f964531922af84",
    "term_id": "1272",
    "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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Model outputs & technical records

nvidia/Qwen3.6-35B-A3B-NVFP4

LLM outputs across runs

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Full model traces

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Model & dataset provenance

{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "6b95f5101bdd9faf4cf15acfc279b3ed6dcc80e8942d9d754c7d1fa0f88e4836",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}