One reviewer states that learning the topic requires significant effort outside of class because the classwork does not provide a good feel for the code.
Raw average: 4.71/5 from 14
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 · 3.8/5 difficulty · 4
reviews
RMP profile ↗ · All captured review dates; profile matched by name.
Peter Adamczyk is accessible, caring, and exceptional, offering fun content. However, reviews note the class is disorganized and poorly set up, requiring significant independent effort to learn the material.
Recent recorded grades — Fall 2023: 3.39 GPA, 69.4% A/AB (n=72 letter grades); Fall 2024: 3.44 GPA, 75.0% A/AB (n=72 letter grades); Spring 2025: 3.71 GPA, 90.0% A/AB (n=80 letter grades). Includes jointly taught sections.
Historical instructors & teaching patterns
PETER ADAMCZYK is recorded teaching in Fall 2016, Fall 2017, Fall 2018, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Fall 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
Fall 2026
Schedule loads here as you scroll.
Section
Mode
Enrolled / capacity
Waitlist
LEC 001
Classroom Instruction
36 / 45
4
LEC 001
Classroom Instruction
45 / 45
1
Times are Central. Select a meeting for
details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Peter Adamczyk is described as an accessible and caring teacher who makes the content fun, though one reviewer notes the class is extremely disorganized.
Recent recorded grades — Fall 2023: 3.39 GPA, 69.4% A/AB (n=72 letter grades); Fall 2024: 3.44 GPA, 75.0% A/AB (n=72 letter grades); Spring 2025: 3.71 GPA, 90.0% A/AB (n=80 letter grades).
difficulty & workload
One reviewer states that learning the topic requires significant effort outside of class because the classwork does not provide a good feel for the code.
A student found the course extremely disorganized and suggested that mastering Linux and ROS beforehand would have made the experience easier.
Topics
Robotic systems concepts and tools
Skills
Understanding robotic systems concepts and tools
Exploring robotics for independent purposes
Grades
Historical instructor
Fall 2026 · Projected
Before grades are released
3.303.30–3.543.54average 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 4
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.
5 earlier forecasts · 0.07 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 2025 · all course levels
3.713.71GPA
Higher than 5454% of other courses in this group.
Course GPAs · red marks this course’s range
8080letter grades
More recorded grades than 5858% of other courses in this group.
Typical course in this group: 66.066.0 letter grades.
About this comparison
1289 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.