Spring 2027

Introduction to Statistical Methods in Political Science

Introduction to Statistical Methods in Political Science is an introductory statistics course for Ph.D. students emphasizing probability theory, inference, multivariate least squares, and maximum likelihood.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 5

Recent recorded grades — Fall 2023: 3.80 GPA, 93.3% A/AB (n=15 letter grades); Fall 2024: 3.98 GPA, 100.0% A/AB (n=20 letter grades); Fall 2025: 3.96 GPA, 100.0% A/AB (n=13 letter grades).

What you’ll be able to do

  • Critically read, interpret and replicate the quantitative content of many articles in the quantitative social sciences

  • Conduct, interpret, and communicate results from analysis using multiple regression

  • Explain the limitations of observational data for making causal claims, and begin to use existing strategies for attempting to make causal claims from observational data

  • Write clean, reusable, and reliable R code

  • Feel empowered working with data

Source: UW Guide

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
POLISCI 812 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

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  • Graduate/professional standing

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Fall 2023: 3.80 GPA, 93.3% A/AB (n=15 letter grades); Fall 2024: 3.98 GPA, 100.0% A/AB (n=20 letter grades); Fall 2025: 3.96 GPA, 100.0% A/AB (n=13 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Probability theory, statistical inference, multivariate least squares, and maximum likelihood.
  • Causal inference strategies and limitations of observational data.
  • Multiple regression analysis.

Skills

  • Probability theory, statistical inference, multivariate least squares, and maximum likelihood.
  • Writing clean, reusable, and reliable R code.
  • Critically reading, interpreting, and replicating quantitative content in social science articles.

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-10-14

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Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "29ffc41b5db45f481e86b43d7ad4d504f5316f1ef87a2b93c6a9801178ee35f1",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}