Spring 2027

Law and Economics

Law and Economics analyzes legal rules and institutions, focusing on how property, contracts, torts, legal procedure, and criminal law influence individual incentives.

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

Summary

1 / 8

Past student reviews · Daniel Quint

Workload was light with three homework assignments, and readings were recommended but not required for tests.

What you’ll be able to do

  • Explain basic features of the Common Law and Civil Law traditions, their origins, their key differences, and some particular legal doctrines.

  • Apply basic microeconomic ideas and models to particular legal settings.

  • Analyze the effect of a law or aspect of the legal system on behavior, and judge which law will lead to better outcomes in a particular setting.

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

ECON 301 or 311

ECON 522

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

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

DANIEL QUINT is recorded teaching in Fall 2007, Fall 2008, Spring 2009, Fall 2009, Spring 2010, Fall 2010, Spring 2011, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2015, Fall 2016, Spring 2017, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Spring 2024, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

FRAN FLANAGAN is recorded teaching in Fall 2022, Spring 2023. 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records
Download part 1

Student experience

the class

Past student reviews · Daniel Quint

Students described this advanced econ class as engaging and fun, noting that Daniel Quint made boring material interesting while keeping the course manageable.

Recent recorded grades — Spring 2024: 3.15 GPA, 44.7% A/AB (n=94 letter grades); Fall 2024: 3.26 GPA, 46.9% A/AB (n=96 letter grades); Fall 2025: 3.35 GPA, 54.7% A/AB (n=95 letter grades).

difficulty & workload

Past student reviews · Daniel Quint

Workload was light with three homework assignments, and readings were recommended but not required for tests.

Past student reviews · Daniel Quint

Lectures involved reading from pre-typed notes posted online, which allowed students to miss sessions without missing key content.

Topics

  • Property, contracts, torts, legal procedure, and criminal law
  • Common Law and Civil Law traditions, origins, differences, and legal doctrines

Skills

  • Apply basic microeconomic ideas and models to particular legal settings.
  • Analyze the effect of laws on behavior and judge which law leads to better outcomes.

Grades

Historical instructor

Spring 2027 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 recent terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.04 GPA average error.

Grades over time

Through Spring 2027

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1316 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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.

Download part 1
Selected offering source records

No offering records for the selected term.

Raw records 
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1Download part 2
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "7fdf87dc568529c839094c904652c126c6036848ae25f5c57f280f9fd17882f8",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}