Spring 2027

Machine Learning in Applied Economic Analysis

Machine Learning in Applied Economic Analysis covers ML methods for economic issues using large data sets, including regularization, tree-based methods, neural networks, and unsupervised learning.

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

Summary

1 / 3

Recent recorded grades — Fall 2023: 3.60 GPA, 75.0% A/AB (n=20 letter grades); Fall 2024: 3.86 GPA, 90.9% A/AB (n=11 letter grades); Fall 2025: 3.92 GPA, 94.7% A/AB (n=19 letter grades).

What you’ll be able to do

  • Describe and explain the mechanics of basic machine learning methods

  • Employ data exploration and visualization tools for analyzing large amounts of data

  • Select model and conduct post-selection inference of high-dimensional data

  • Apply machine learning methods on large data sets for economic and policy analysis

  • Demonstrate the ability to use statistical packages for methods covered in the course

Source: UW Guide

Grade history

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average GPA
letter grades
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AB
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All recorded terms · compare terms & instructors

Prerequisites

Course map

A A E 636 or ECON 704

AAE 722

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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: 3.60 GPA, 75.0% A/AB (n=20 letter grades); Fall 2024: 3.86 GPA, 90.9% A/AB (n=11 letter grades); Fall 2025: 3.92 GPA, 94.7% A/AB (n=19 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Data mining, regression model selection, and regularization
  • Tree-based methods, neural networks, random forests, causal inference, and unsupervised learning

Skills

  • Explain mechanics of basic machine learning methods
  • Use data exploration and visualization tools
  • Conduct model selection and post-selection inference
  • Apply ML methods to economic and policy analysis
  • Use statistical software packages

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

A
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

Descriptions, prerequisites, and recorded course offerings.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
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": "475e4965253b8a707b872d5a3fc1c0ea41f589c46c52b848da53b6f9b9bf2a1d",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}