Spring 2027

Microeconomics II

Microeconomics II covers consumer and producer theory, markets under partial and general equilibrium, externalities, market power, decision theory, and game theory.

offering recorded3 credits
Recorded instructors · Spring 2027 Lones Smith

Summary

1 / 5

Past student reviews · Matthew Friedman

One student reported spending 50 hours a week on heavy homework, assignments, and Python coding exercises.

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

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

Spring 2027

Recent recorded grades — Fall 2023: 3.67 GPA, 80.0% A/AB (n=15 letter grades); Spring 2024: 3.62 GPA, 78.3% A/AB (n=60 letter grades); Spring 2026: 3.67 GPA, 89.8% A/AB (n=49 letter grades). Includes jointly taught sections.

Historical instructors & teaching patterns

LONES SMITH is recorded teaching in Spring 2014, Spring 2015, Spring 2016, Spring 2019, Spring 2020, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

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

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 300
DIS 301Classroom Instruction0 / 150
DIS 302Classroom Instruction0 / 150

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 · Matt Friedman, Matthew Friedman

Matthew Friedman delivered clear lectures with helpful notes and no required textbooks, while providing direct feedback on assignments.

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

Past student reviews · Matthew Friedman

One student reported spending 50 hours a week on heavy homework, assignments, and Python coding exercises.

Past student reviews · Matthew Friedman

One student noted that problem sets were nearly identical to the final exam, suggesting that understanding them secured a good grade.

Topics

  • Consumer and producer theory
  • Markets under partial and general equilibrium, externalities, and market power
  • Decision theory, game theory, auction theory, and partially informed trade

Skills

  • Introduction to decision theory, game theory, auction theory, and partially informed trade.
  • Analysis of consumer theory, producer theory, and markets under partial/general equilibrium, externalities, or market power.

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 same-season 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 · 0.10 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 · 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.

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Selected offering source records
ECON 708 · Spring 2027

Microeconomics II

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": "1274:296:024042",
    "course_id": "ECON 708",
    "course_uid": "course_1932eed8246324e0a053d4fe",
    "term_id": "1274",
    "source_course_id": "024042",
    "source_subject_id": "296",
    "title": "Microeconomics II",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
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
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": "b4ae2afe1d204c8c22e2255f9244be0e814a15da161785a180635c016073c27f",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}