Fall 2026

Intermediate Microeconomic Theory - Advanced Treatment

An advanced treatment of intermediate microeconomic theory using mathematical methods to analyze consumption, production, pricing, and resource allocation.

offering recorded3 credits
Recorded instructors · Fall 2026 Matteo Camboni3.7/5

Summary

1 / 6

Exams are described as wacky, non-standard, and significantly harder than homework, with little practice material provided to gauge preparation.

Grade history

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

Prerequisites

Course map

MATH 222 and (ECON 101 and 102) or ECON 111. Not open to students who have credit forECON 301

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.86/5 from 7 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

Matteo Camboni is caring and accessible, promoting a casual atmosphere. He encourages critical reflection over memorization and is attentive to student questions.

Exams are difficult, non-standard, and disconnected from lectures. Students find the lack of structure and practice resources frustrating.

Recent recorded grades — Fall 2022: 3.63 GPA, 74.3% A/AB (n=35 letter grades); Fall 2023: 3.57 GPA, 73.3% A/AB (n=30 letter grades); Fall 2025: 3.67 GPA, 84.4% A/AB (n=32 letter grades).

Historical instructors & teaching patterns

Matteo Camboni is the current instructor, but no reviews exist for his teaching. Historical reviews for Korinna Hansen describe her lectures as clear, though some note her grading lacks transparency and she is less supportive for struggling students.

KORINNA HANSEN is recorded teaching in Fall 2007, Fall 2008, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

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

RAYMOND DENECKERE is recorded teaching in Fall 2011, Fall 2012, Fall 2013, Fall 2015, Fall 2018, Fall 2020, Fall 2021. 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

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction27 / 150

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

Meeting source records

Student experience

the class

Matteo Camboni is praised for being caring, accessible, and promoting a casual atmosphere, though some find the class brutal and exams unexpectedly difficult.

Recent recorded grades — Fall 2023: 3.57 GPA, 73.3% A/AB (n=30 letter grades); Fall 2024: 3.42 GPA, 66.7% A/AB (n=33 letter grades); Fall 2025: 3.67 GPA, 84.4% A/AB (n=32 letter grades).

difficulty & workload

Exams are described as wacky, non-standard, and significantly harder than homework, with little practice material provided to gauge preparation.

Students appreciate the heavy grading curve and office hour support, which mitigates stress despite the difficult material and clear instructional expectations.

Topics

  • Consumption and production theory
  • Pricing and resource allocation

Skills

  • Mathematical modeling of economic theory.

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
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F

Grades over time

Through Fall 2025

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

1320 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.

Selected offering source records
ECON 311 · Fall 2026

Intermediate Microeconomic Theory - Advanced Treatment

Recorded 2026-09-07
Raw records
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    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
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    "offering_id": "1272:296:005570",
    "course_id": "ECON 311",
    "course_uid": "course_8225e7080149a48682f637af",
    "term_id": "1272",
    "source_course_id": "005570",
    "source_subject_id": "296",
    "title": "Intermediate Microeconomic Theory - Advanced Treatment",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]
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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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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
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