Fall 2026

Statistics for Sociologists III

SOC 362 teaches generalized linear models and advanced estimation techniques for social science data analysis.

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

Summary

1 / 5

Historical reviews of Felix Elwert: Students report a 20-30 hour weekly time commitment, with exams characterized as complex and challenging.

Grade history

average GPA
letter grades
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Prerequisites

Course map

C&E SOC/​SOC 361, STAT 302,ECON 400, 410,MATH/​STAT 309, or graduate/professional standing

SOC 362

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 for Felix Elwert describe the course content as miserable and exams as difficult, resembling Rubik's cubes. The workload is reported as 20-30 hours per week, with no adjustments made despite the intensity.

FELIX ELWERT is recorded teaching in Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2025, Spring 2026. 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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Student experience

the class

Historical reviews of Felix Elwert: The course is described as miserable with a 20-30 hour weekly workload, featuring tests that are difficult to navigate.

Recent recorded grades — Spring 2024: 3.61 GPA, 78.1% A/AB (n=32 letter grades); Spring 2025: 3.38 GPA, 58.6% A/AB (n=29 letter grades); Spring 2026: 3.21 GPA, 47.4% A/AB (n=19 letter grades).

difficulty & workload

Historical reviews of Felix Elwert: Students report a 20-30 hour weekly time commitment, with exams characterized as complex and challenging.

Historical reviews of Felix Elwert: Reviewers express significant frustration with the course content and exam structure, despite the instructor being personally nice.

Topics

  • Multiple regression, instrumental variables, two-stage least squares, panel data, fixed and random effects, logit, probit.

Skills

  • Applying generalized linear models to social science data.
  • Estimation techniques including instrumental variables, two-stage least squares, and panel data methods.

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

A
AB
B
BC
C
D
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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

Original comments behind the course and instructor summaries.

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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": "6b0947e004c0e931b67b67b01e8ec27b9ff4d778509433bc4ee2a82ebcc73335",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}