Spring 2027

Game Theory and Economic Analysis

Game Theory and Economic Analysis studies multi-agent, interactive decision problems, focusing on coordination, cooperation, and conflict.

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

Summary

1 / 8

Past student reviews · Benjamin Bernard

Lectures and problem sets were extremely confusing and often more difficult than the exams. Provided solutions were hand-wavy, making it hard to find errors, though the curve was extremely generous.

What you’ll be able to do

  • Discuss the fundamental concepts of game theory and how those concepts apply to real world issues.

  • Construct and evaluate game theoretic models, including their assumptions and conclusions.

  • Employ a diverse set of skills and strategies in mathematical reasoning and problem solving.

  • Use game theoretic techniques to analyze real world situations and policies.

  • Apply and write about game theory in novel strategic situations.

  • Read and critique published papers that use game theory.

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) and MATH 222; or graduate/professional standing

ECON 521

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

ANTONIO PENTA is recorded teaching in Fall 2014, Fall 2015. Recorded history may be incomplete and does not establish a future schedule.

BENJAMIN BERNARD is recorded teaching in Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

DAVID HANSEN is recorded teaching in Fall 2013, Spring 2014, Spring 2015, Fall 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.

MARZENA ROSTEK is recorded teaching in Spring 2007, Spring 2009, Fall 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2016. Recorded history may be incomplete and does not establish a future schedule.

RAYMOND DENECKERE 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

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
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Student experience

the class

Past student reviews · Benjamin Bernard

Benjamin Bernard taught recent sections with fast-paced, complex lectures that were interesting and developed problem-solving skills. He provided detailed office hours and genuinely wanted students to learn if they made the effort.

Recent recorded grades — Spring 2024: 3.22 GPA, 55.2% A/AB (n=29 letter grades); Fall 2024: 3.40 GPA, 66.0% A/AB (n=50 letter grades); Fall 2025: 3.27 GPA, 60.7% A/AB (n=61 letter grades).

difficulty & workload

Past student reviews · Benjamin Bernard

Lectures and problem sets were extremely confusing and often more difficult than the exams. Provided solutions were hand-wavy, making it hard to find errors, though the curve was extremely generous.

Past student reviews · Benjamin Bernard

Students found it tough to get everything from the lectures, but Bernard’s office hours were excellent for going through strategies and examples in detail.

Topics

  • International relations, firm competition, labor bargaining, and political contests
  • Fundamental concepts of game theory and their application to real-world issues

Skills

  • Construct and evaluate game theoretic models
  • Analyze real-world situations using game theoretic techniques
  • Critique published papers using game theory

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 4 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 · 0.14 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.

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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
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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
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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": "0657d8ae2302aa5be82f1f03bd4fb41b1816974f95e90c4478504f92cc7ac5f0",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}