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Fall 2026
Quantitative Reasoning and Problem Solving
MATH 141 develops quantitative reasoning and problem-solving skills for students satisfying the Quantitative Reasoning Part A requirement without pursuing calculus.
Recorded instructors · Fall 2026 Mitch Phillipson
Summary
1 / 6
Historical reviews of Joel Robbin, Travis Olson: Students report easy tests with frequent drops and no final exam, though Joel Robbin's reviews note the material can be unclear without self-study.
Grade history
↗ average GPA
letter grades
letter grades
A
AB
B
BC
C
D
F
All recorded terms · compare terms & instructors
Prerequisites
Course mapMATH 96or placement into MATH 141. MATH 118 does not fulfill the requisite
- MATH 96
- placement into MATH 141
- MATH 118 does not fulfill the requisite
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- All of
- MATH 96
- placement into MATH 141
- MATH 118 does not fulfill the requisite
Professors
Fall 2026Historical instructors & teaching patterns
Current instructor Mitch Phillipson has no reviews. Historical reviews for MATH 141 describe varied experiences. Some instructors are praised for accessibility and easy tests, while others are criticized for disorganization and unclear lectures. Tests are manageable, with some instructors dropping multiple exams. Office hours and PDFs are useful, while unclear lectures and poor communication are frustrating. Travis Olson and Leah Rineck show mixed results. Olson is accessible but has poor communication; Rineck is accommodating yet unclear in lectures.
AARON GOLDSMITH is recorded teaching in Fall 2018, Spring 2019. Recorded history may be incomplete and does not establish a future schedule.
ABBISHEK DESHPANDE is recorded teaching in Fall 2020. Recorded history may be incomplete and does not establish a future schedule.
AMIR ASSADI is recorded teaching in Fall 2014, Spring 2016, Spring 2018. Recorded history may be incomplete and does not establish a future schedule.
AOBING LI is recorded teaching in Spring 2008. Recorded history may be incomplete and does not establish a future schedule.
DIANE RIVARD is recorded teaching in Fall 2013. Recorded history may be incomplete and does not establish a future schedule.
JOEL ROBBIN is recorded teaching in Fall 2006. Recorded history may be incomplete and does not establish a future schedule.
LEAH RINECK is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule.
TRAVIS OLSON is recorded teaching in Fall 2024, Fall 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 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 101 / 105 | 0 |
| LEC 002 | Classroom Instruction | 102 / 105 | 0 |
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
Travis Olson's reviews describe MATH 141 as a rudimentary course well-suited for non-STEM majors, while historical reviews from other instructors highlight significant variation in teaching quality.
Recent recorded grades — Spring 2025: 3.59 GPA, 79.3% A/AB (n=87 letter grades); Fall 2025: 3.59 GPA, 77.4% A/AB (n=217 letter grades); Spring 2026: 3.36 GPA, 68.5% A/AB (n=108 letter grades).
difficulty & workload
Historical reviews of Joel Robbin, Travis Olson: Students report easy tests with frequent drops and no final exam, though Joel Robbin's reviews note the material can be unclear without self-study.
Historical reviews of Abhishek Deshpande, Diane Rivard, Joel Robbin: Reviewers describe a wide range of lecture quality, from Rivard's clear teaching to Deshpande's dry and lengthy sessions. Robbin advises relying on the textbook rather than deciphering unorganized lectures.
Topics
Skills
Grades
Fall 2026 · 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 · 0.20 GPA average error.
Grades over time
Through Fall 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
Quantitative Reasoning and Problem Solving
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:600:011615",
"course_id": "MATH 141",
"course_uid": "course_c9bdf631650ccfb896fcfc26",
"term_id": "1272",
"source_course_id": "011615",
"source_subject_id": "600",
"title": "Quantitative Reasoning and Problem Solving",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall, Spring"
}
]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
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "46e98ec49dac113be14f7e1b09d626f7b6d489b8ffae2adb65283266526701f2",
"requirements_status": "needs_review",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}