Spring 2027

Phd Proseminar

PhD Proseminar applying research methods with practical experience in applied data analysis, proposal and grant writing, and research methods in communities of color.

offering recorded3 credits
Recorded instructors · Spring 2027 Alejandra Pilarz

Summary

1 / 2

Recent recorded grades — Spring 2018: 3.83 GPA, 100.0% A/AB (n=6 letter grades); Spring 2019: 3.50 GPA, 83.3% A/AB (n=6 letter grades); Spring 2023: 3.79 GPA, 100.0% A/AB (n=7 letter grades).

What you’ll be able to do

  • Demonstrate advanced knowledge of the problems and issues faced in conducting quantitative research.

  • Exercise skills in all phases of a quantitative analysis research paper.

  • Present and evaluate research.

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate Students Only

  • Graduate Students Only
SOCWORK 952

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

Prerequisite text tree
  • Graduate Students Only

Professors

Spring 2027
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
LEC 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

Student experience

the class

Recent recorded grades — Spring 2018: 3.83 GPA, 100.0% A/AB (n=6 letter grades); Spring 2019: 3.50 GPA, 83.3% A/AB (n=6 letter grades); Spring 2023: 3.79 GPA, 100.0% A/AB (n=7 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Application of research knowledge and skills
  • Applied data analysis, proposal and grant writing, and research methods in communities of color
  • Problems and issues in conducting quantitative research

Skills

  • Advanced knowledge of problems and issues in conducting quantitative research
  • Skills in all phases of a quantitative analysis research paper
  • Presenting and evaluating research
  • Applied data analysis, proposal and grant writing, and research methods in communities of color

Grades

Latest available · Spring 2023— 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 2023

More grade details Grade mix, volume & source data

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
SOCWORK 952 · Spring 2027

PhD Proseminar

Recorded 2026-10-14
SOCWORK 952 · Spring 2027

Appld Quantative Data Analysis

Recorded 2026-10-14
Raw records
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    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:896:017518",
    "course_id": "SOCWORK 952",
    "course_uid": "course_7645ee9d9f688b515516613f",
    "term_id": "1274",
    "source_course_id": "017518",
    "source_subject_id": "896",
    "title": "PhD Proseminar",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Occasionally"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:896:017518.5",
    "course_id": "SOCWORK 952",
    "course_uid": "course_7645ee9d9f688b515516613f",
    "term_id": "1274",
    "source_course_id": "017518.5",
    "source_subject_id": "896",
    "title": "Appld Quantative Data Analysis",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Occasionally"
  }
]
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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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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": "977a1ea4de54f92e285862f6b42634d42ae0b486cc0d86ba1c7f03bbd18dfdd5",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}