Data Management for Social Science Research

C&ESOC/SOC 365 teaches data management techniques for social science research, including cleaning, merging, and visualizing data.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 5

Historical reviews of Christine Schwartz: The course is moderately difficult, with a background in STATA being helpful but not strictly required as the instructor offers support.

Grade history

average GPA
letter grades
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Prerequisites

Course map

C&E SOC/​SOC 360,PSYCH 210,STAT 301,ECON 310,MATH/​STAT 310, or GEOG 360

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

Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Historical reviews of Christine Schwartz: Christine Schwartz is described as a caring and friendly professor who makes the curriculum understandable and fair. She is willing to help students in class and office hours, though having a background in STATA is helpful.

CHRISTINE SCHWARTZ is recorded teaching in Spring 2014, Fall 2015, Spring 2017, Spring 2018, Spring 2019, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.

JOHN LOGAN is recorded teaching in Fall 2006, Fall 2007, Fall 2008, Fall 2009. 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

Fall 2026

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No records available.

Student experience

the class

Historical reviews of Christine Schwartz: Christine Schwartz is a caring professor who makes the curriculum understandable and fair, offering support to students who need it.

Recent recorded grades — Spring 2024: 3.74 GPA, 81.0% A/AB (n=21 letter grades); Spring 2025: 3.59 GPA, 72.7% A/AB (n=11 letter grades); Spring 2026: 2.94 GPA, 22.2% A/AB (n=9 letter grades).

difficulty & workload

Historical reviews of Christine Schwartz: The course is moderately difficult, with a background in STATA being helpful but not strictly required as the instructor offers support.

Historical reviews of Christine Schwartz: Students find the professor friendly and available for help in class and office hours, making the learning experience positive.

Topics

  • Structure of social scientific data.
  • Data evaluation, cleaning, documentation, and visual display.
  • Merging and restructuring data for analysis.

Skills

  • Data evaluation, cleaning, documentation, and visual display.
  • Merging data from multiple sources and restructuring data for analysis.

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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BC
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Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Raw records
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Student reviews

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Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "bef73188ea9f6e5b58488ce7d2d91fdb0bef9afab6aa8249c7a40317f734dd53",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}