Spring 2027

Markets and Models

Investigates how markets allocate scarce resources through prices, rationing, search, matching, auctions, and contests, using real-world examples and formal theoretical models.

offering recorded3–4 credits
Recorded instructors · Spring 2027 Dan Quint

Summary

1 / 6

Past student reviews · Daniel Quint

The course placed a heavy emphasis on mathematical content, which could be challenging for students who are not strong in math.

What you’ll be able to do

  • Explain general principles of why some markets work well (and others do not), and demonstrate why the precise details matter

  • Discuss details of how particular real-world markets operate

  • Construct theoretical economic models to match key features of real-world markets, and apply mathematical tools to analyze these models

  • Understand and explain advanced theoretical results and their proofs; modify and apply these techniques to prove closely-related results

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 217 or 221), or graduate/professional standing

ECON 621

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

Prerequisite text tree

Professors

Spring 2027

No course-specific feedback yet.

Historical instructors & teaching patterns

DANIEL QUINT is recorded teaching in Spring 2024, 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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 450

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

Meeting source records
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Student experience

the class

Past student reviews · Daniel Quint

Students found that Dan Quint made abstract models and theories engaging to learn, even for those less comfortable with mathematics.

Recent recorded grades — Spring 2024: 3.57 GPA, 72.7% A/AB (n=22 letter grades); Spring 2026: 3.45 GPA, 59.5% A/AB (n=42 letter grades).

difficulty & workload

Past student reviews · Daniel Quint

The course placed a heavy emphasis on mathematical content, which could be challenging for students who are not strong in math.

Past student reviews · Daniel Quint

One student noted that while the math was demanding, the instructor’s approach made the material interesting and accessible.

Topics

  • Market allocation mechanisms including prices, rationing, search, matching, auctions, and contests
  • Real-world examples of different market types
  • Formal theoretical modeling of market structures

Skills

  • Constructing theoretical economic models and applying mathematical tools to analyze them
  • Explaining general principles of market efficiency and the importance of precise details
  • Discussing operational details of specific real-world markets

Grades

Latest available · Spring 2026— 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 Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · 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

1280 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
ECON 621 · Spring 2027

Markets and Models

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:296:025712",
    "course_id": "ECON 621",
    "course_uid": "course_071c8f834bcb9f9790bfcb0d",
    "term_id": "1274",
    "source_course_id": "025712",
    "source_subject_id": "296",
    "title": "Markets and Models",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Not Applicable"
  }
]
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 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "df3e46d9aa2d7b17331ed2add416aedf6033a04683f102a6df056925a2ad8a43",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}