Recent recorded grades — Fall 2025: 3.84 GPA, 89.5% A/AB (n=19 letter grades).
Fall 2026
Topics in Economic Data Analysis
ECON 695 covers advanced topics in using data to answer important economic questions.
Recorded instructors · Fall 2026 Alice Wu
Summary
1 / 6
Historical reviews of Matthew Friedman: Reviewers describe the workload as heavy, with exams being particularly stressful and brutal when coding independently, although the curve is often fair.
Grade history
↗ average GPA
letter grades
letter grades
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All recorded terms · compare terms & instructors
Prerequisites
Course mapProfessors
Fall 2026Historical instructors & teaching patterns
Alice Wu is the current instructor for ECON 695. Historical reviews for Matthew Friedman describe him as helpful and effective at teaching Python, though some students find the exams stressful and the workload heavy. Austin Miller is similarly praised for patience and clear explanations, with well-organized slides supporting problem sets.
ALICE WU is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
AUSTIN MILLER is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
MATTHEW FRIEDMAN is recorded teaching in Fall 2021, Spring 2023, Fall 2023, Spring 2024, Fall 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
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 43 / 45 | 1 |
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
Historical reviews for Matthew Friedman and Austin Miller highlight strong teaching quality and helpfulness, though students note the course involves significant work and challenging coding exams.
Recent recorded grades — Spring 2025: 3.73 GPA, 79.8% A/AB (n=84 letter grades); Fall 2025: 3.84 GPA, 91.9% A/AB (n=62 letter grades); Spring 2026: 3.66 GPA, 84.0% A/AB (n=119 letter grades).
difficulty & workload
Historical reviews of Matthew Friedman: Reviewers describe the workload as heavy, with exams being particularly stressful and brutal when coding independently, although the curve is often fair.
Historical reviews of Austin Miller, Matthew Friedman: Students value the instructors' patience and willingness to help outside office hours, noting that organized materials and open-note exams support learning.
Topics
Skills
Grades
Latest available · Spring 2026— not enough history to project Fall 2026.
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.
Selected offering source records
Topics in Economic Data Analysis
Recorded 2026-09-07Causal Effects in Policy
Recorded 2026-09-07Metrics: AI & Machine Learning
Recorded 2026-09-07Raw records
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"title": "Topics in Economic Data Analysis",
"credits_min": 3,
"credits_max": 4,
"typically_offered": "Not Applicable"
},
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"title": "Causal Effects in Policy",
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},
{
"run_id": "20260907T155543-ce3781c4",
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"title": "Metrics: AI & Machine Learning",
"credits_min": 3,
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"typically_offered": "Not Applicable"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel 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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"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "83f445f91cf3baad31cdb9a8ae6b661d781ca5330995d8097cae2fea018fbc52",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}