Recent recorded grades — Fall 2023: 3.42 GPA, 83.3% A/AB (n=18 letter grades); Fall 2024: 3.29 GPA, 58.3% A/AB (n=12 letter grades); Fall 2025: 2.83 GPA, 45.0% A/AB (n=20 letter grades).
Engineering Principles of Agricultural Machinery
Covers engineering design principles for agricultural machinery used in crop production, processing, and handling.
Summary
Recent recorded grades — Fall 2023: 3.42 GPA, 83.3% A/AB (n=18 letter grades); Fall 2024: 3.29 GPA, 58.3% A/AB (n=12 letter grades); Fall 2025: 2.83 GPA, 45.0% A/AB (n=20 letter grades).
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapDeclared in Biological Systems Engineering or Mechanical Engineering and (M E 240,E M A 202,PHYSICS 201, 207, or 247), graduate/professional standing, or member of Engineering Guest Students
- Declared in Biological Systems Engineering or Mechanical Engineering
- take one
- graduate/professional standing
- member of Engineering Guest Students
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Declared in Biological Systems Engineering or Mechanical Engineering
- Any of
- graduate/professional standing
- member of Engineering Guest Students
- All of
Professors
Fall 2026Historical instructors & teaching patterns
JEFFREY NELSON is recorded teaching in 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 | 14 / 22 | 0 |
| LAB 302 | Classroom Instruction | 14 / 22 | 0 |
| LEC 001 | Classroom Instruction | 4 / 22 | 0 |
| LAB 302 | Classroom Instruction | 4 / 22 | 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
Recent recorded grades — Fall 2023: 3.42 GPA, 83.3% A/AB (n=18 letter grades); Fall 2024: 3.29 GPA, 58.3% A/AB (n=12 letter grades); Fall 2025: 2.83 GPA, 45.0% A/AB (n=20 letter grades).
difficulty & workload
No workload feedback recorded.
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
Not enough comparable courses for Fall 2026 in UW–Madison.
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
Engineering Principles of Agricultural Machinery
Recorded 2026-09-07Engineering Principles of Agricultural Machinery
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:112:000503",
"course_id": "BSE/ME 475",
"course_uid": "course_484ab34e1fec79cf477000ab",
"term_id": "1272",
"source_course_id": "000503",
"source_subject_id": "112",
"title": "Engineering Principles of Agricultural Machinery",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall"
},
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:612:000503",
"course_id": "BSE/ME 475",
"course_uid": "course_484ab34e1fec79cf477000ab",
"term_id": "1272",
"source_course_id": "000503",
"source_subject_id": "612",
"title": "Engineering Principles of Agricultural Machinery",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
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": "823959e07a88bc766ba126f422fb2a44c3345ad1dfc8fc5c042c1b36ab709c73",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}