Introduction to Robotics provides a hands-on overview of key concepts and tools for understanding and developing robotic systems.
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.
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Senior standing or member of Engineering Guest Students
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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.
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.
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| 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).
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.
– average GPA
Approximate 80% prediction interval
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.
Through Fall 2026
Latest available grades · Spring 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.
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.
Descriptions, prerequisites, and recorded course offerings.
Observations at scan time; dates do not imply when a catalog change took effect.
Introduction to Robotics
Recorded 2026-09-07Introduction to Robotics
Recorded 2026-09-07[
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}
]Original comments behind the course and instructor summaries.
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded model configuration, reasoning, and tool conversations.
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