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Introduction to Feedback Control
ME 446 introduces linear feedback control analysis and design techniques for mechanical systems.
Summary
Historical reviews of Michael Zinn: The course material is reported as tedious and outdated, with a desire for more state-space methods. The techniques seem very old to some students.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course map(M E 340 or E M A 545) and (MATH 319 or 320), graduate/professional standing, member of Engineering Guest Students, or declared in Capstone Certificate in Power Conversion and Control. Not open to students with credit for M E 346.
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Professors
Fall 2026Historical instructors & teaching patterns
Historical reviews of Michael Zinn: Mike Zinn is praised for his passion, approachability, and clear lectures that connect to real-world applications. He provides thorough reviews for students lacking prerequisites and maintains transparent exam expectations. Conversely, one reviewer finds the course material tedious and outdated, wishing for more modern state-space methods.
JOHN MOSKWA is recorded teaching in Fall 2006, Fall 2007, Fall 2009, Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014. Recorded history may be incomplete and does not establish a future schedule.
MICHAEL ZINN is recorded teaching in Spring 2016, Fall 2016, Fall 2017, Fall 2018, Spring 2019, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, 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 | 53 / 60 | 0 |
| LEC 003 | Online Only | 9 / 35 | 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
Historical reviews of Michael Zinn: Michael Zinn is praised for his passion, approachability, and clear lectures that connect to real-world applications. He is described as a dedicated lecturer who supports student learning effectively.
Recent recorded grades — Fall 2023: 3.50 GPA, 66.7% A/AB (n=36 letter grades); Fall 2024: 3.42 GPA, 54.7% A/AB (n=53 letter grades); Fall 2025: 3.41 GPA, 63.2% A/AB (n=57 letter grades).
difficulty & workload
Historical reviews of Michael Zinn: The course material is reported as tedious and outdated, with a desire for more state-space methods. The techniques seem very old to some students.
Historical reviews of Michael Zinn: Students appreciate Zinn's responsiveness and encouragement of questions. He provides honest exam expectations and spends time reviewing prerequisites, making the class accessible despite the subject matter.
Topics
Skills
Grades
Latest available · Fall 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Fall 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.
About this comparison
1320 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
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
Introduction to Feedback Control
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:612:012037",
"course_id": "ME 446",
"course_uid": "course_680ca52f0196b3fed29c9d15",
"term_id": "1272",
"source_course_id": "012037",
"source_subject_id": "612",
"title": "Introduction to Feedback Control",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
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": "769c9bfc284e56671dd8b440baf83bdf23182d8cdc8ceaf60d813ef094ec9a5b",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}