The class involves weekly problem sets that can be long and challenging, alongside a 75-minute lecture format that delivers a high volume of information.
What you’ll be able to do
apply economic models to understand household and firm behavior and market outcomes
specify and adapt microeconomic models to analyze economic environments
solve economic decision problems using tools of mathematical optimization
understand the role of these models as the foundation for more advanced analysis
(ECON 101, 111,A A E 101, or 215 prior to Fall 2024) and (MATH 213, 217, 221,ECON 205, or MATH 211prior to Fall 2024). Not open to students with credit forECON 311.
“Used by” includes alternatives; linked courses may
have other requirements. This is a best-effort interpretation; check the
catalog requirements above.
Raw average: 3.96/5 from 242
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.
For this course: 4.3/5 raw quality · 3.9/5 difficulty · 17
reviews
RMP profile ↗ · All captured review dates; profile matched by name.
Past student reviews · Korinna Hansen
Korinna Hansen taught a calculation-heavy course where students found the first exam challenging and the final easier. She provided detailed notes on Canvas and unlimited attempts for problem sets, though students noted the workload required consistent effort to succeed.
Recent recorded grades — Fall 2016: 2.80 GPA, 37.5% A/AB (n=216 letter grades); Fall 2017: 3.01 GPA, 46.2% A/AB (n=195 letter grades); Spring 2020: 3.46 GPA, 68.1% A/AB (n=91 letter grades).
Raw average: 2.78/5 from 92
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.
For this course: 2.2/5 raw quality · 4.0/5 difficulty · 44
reviews
RMP profile ↗ · All captured review dates; profile matched by name.
Past student reviews · Rebecca Glawtschew
Rebecca Glawtschew teaches ECON 301 with weekly problem sets and discussion sections that students found helpful for exam preparation. Several reviewers praised her knowledge and office hours, noting that she broke down dense material effectively. Others described the multiple-choice exams as testing algebra accuracy more than economic concepts, with some finding the lectures less engaging.
Recent recorded grades — Fall 2024: 3.08 GPA, 47.1% A/AB (n=85 letter grades); Spring 2025: 3.04 GPA, 44.7% A/AB (n=123 letter grades); Spring 2026: 3.04 GPA, 47.7% A/AB (n=109 letter grades).
Historical instructors & teaching patterns
Past student reviews · Fran Flanagan
Fran Flanagan's teaching was described as traditional and clear, with no formal homework but practice problems. Lectures were posted online with written notes, and students reported no surprises on quizzes or tests, though one noted unusual notation.
ANDREA WILSON is recorded teaching in Fall 2014, Fall 2015. Recorded history may be incomplete and does not establish a future schedule.
CHRISTOPHER MCKELVEY is recorded teaching in Fall 2011, Fall 2013. Recorded history may be incomplete and does not establish a future schedule.
FRAN FLANAGAN is recorded teaching in Fall 2009, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
KORINNA HANSEN is recorded teaching in Spring 2008, Fall 2010, Fall 2013, Fall 2016, Fall 2017, Spring 2020. Recorded history may be incomplete and does not establish a future schedule.
LORENZO MAGNOLFI is recorded teaching in Fall 2016, Spring 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.
MAREK WERETKA is recorded teaching in Spring 2007, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Fall 2017, Fall 2022, Fall 2023. Recorded history may be incomplete and does not establish a future schedule.
MATTHEW FRIEDMAN is recorded teaching in Fall 2018, Fall 2019. Recorded history may be incomplete and does not establish a future schedule.
REBECCA GLAWTSCHEW is recorded teaching in Spring 2022, Spring 2023, Spring 2024, Fall 2024, Spring 2025, 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.
Section
Mode
Enrolled / capacity
Waitlist
LEC 001
Classroom Instruction
0 / 168
0
DIS 301
Classroom Instruction
0 / 24
0
DIS 302
Classroom Instruction
0 / 24
0
DIS 323
Classroom Instruction
0 / 24
0
DIS 324
Classroom Instruction
0 / 24
0
DIS 303
Classroom Instruction
0 / 24
0
DIS 322
Classroom Instruction
0 / 24
0
LEC 002
Classroom Instruction
0 / 192
0
DIS 321
Classroom Instruction
0 / 24
0
DIS 305
Classroom Instruction
0 / 24
0
DIS 306
Classroom Instruction
0 / 24
0
DIS 325
Classroom Instruction
0 / 24
0
DIS 326
Classroom Instruction
0 / 24
0
DIS 327
Classroom Instruction
0 / 24
0
DIS 328
Classroom Instruction
0 / 24
0
DIS 308
Classroom Instruction
0 / 24
0
DIS 304
Classroom Instruction
0 / 24
0
Times are Central. Select a meeting for
details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Rebecca Glawtschew teaches this course with a focus on breaking down complex economic concepts, though students noted the material can feel jargon-heavy at times.
Recent recorded grades — Spring 2025: 3.12 GPA, 48.6% A/AB (n=354 letter grades); Fall 2025: 3.07 GPA, 45.4% A/AB (n=489 letter grades); Spring 2026: 3.15 GPA, 45.5% A/AB (n=308 letter grades).
difficulty & workload
Past student reviews · Rebecca Glawtschew
The class involves weekly problem sets that can be long and challenging, alongside a 75-minute lecture format that delivers a high volume of information.
Past student reviews · Rebecca Glawtschew
Students expressed frustration that multiple-choice exams often tested algebra accuracy more than economic knowledge, which felt mismatched for a math-based course.
Topics
Consumption and production theory
Pricing and resource allocation
Skills
Apply economic models to analyze household and firm behavior.
Specify and adapt microeconomic models for different environments.
Solve economic decision problems using mathematical optimization.
Grades
Historical instructor
Spring 2027 · Projected
Before grades are released
2.662.66–3.623.62average GPA
Approximate 80% prediction interval
0.04.0
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 · 0.17 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
3.153.15GPA
Higher than 1010% of other courses in this group.
Course GPAs · red marks this course’s range
308308letter grades
More recorded grades than 9393% of other courses in this group.
Typical course in this group: 66.066.0 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.