Fall 2026

Microeconomics II

ECON 708 is the second course in a microeconomics sequence, covering advanced consumer/producer theory, equilibrium analysis, game theory, and auction applications.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 5

Historical reviews of Matthew Friedman: The workload is intense, requiring significant time for Python coding and problem sets, with one reviewer estimating a fifty-hour weekly commitment.

Grade history

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

Prerequisites

Course map

ECON 701

ECON 708

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

Prerequisite text tree

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

Historical reviews of Matt Friedman, Matthew Friedman: Matthew Friedman is praised for clear lectures, helpful notes, and patient instruction, with students noting his assignments align well with exams. One review highlights the value of in-lecture coding support and clear feedback, while another notes the course involves more reading than other classes but features an easy final and graded problem sets.

MATTHEW FRIEDMAN is recorded teaching in Spring 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

RAYMOND DENECKERE is recorded teaching in Spring 2017, Spring 2018, Spring 2022, Fall 2022, Fall 2023, Spring 2024, Spring 2025. 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

Fall 2026

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SectionModeEnrolled / capacityWaitlist

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

Meeting source records

No records available.

Student experience

the class

Historical reviews of Matt Friedman, Matthew Friedman: Matthew Friedman receives high praise for clear lectures, helpful notes, and supportive feedback, with students describing the course as an excellent learning experience.

Recent recorded grades — Spring 2024: 3.49 GPA, 68.5% A/AB (n=111 letter grades); Spring 2025: 3.62 GPA, 82.2% A/AB (n=73 letter grades); Spring 2026: 3.67 GPA, 89.8% A/AB (n=49 letter grades).

difficulty & workload

Historical reviews of Matthew Friedman: The workload is intense, requiring significant time for Python coding and problem sets, with one reviewer estimating a fifty-hour weekly commitment.

Historical reviews of Matthew Friedman: Students value Friedman's clear explanations, in-lecture project work, and helpful assignments, noting his patience and clear direction.

Topics

  • Consumer and producer theory, partial and general equilibrium.
  • Externalities and market power.
  • Decision theory, game theory, auction theory, and partially informed trade.

Skills

  • Applying decision theory and game theory to auctions and trade.
  • Analyzing markets with externalities, market power, and equilibrium.

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

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

1283 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 
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Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "ceaa96c1ff225e147bddfe0bfb2482a28bd4cc6ff39eb4413630b32c8435e50a",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}