Recent recorded grades — Spring 2025: 3.99 GPA, 100.0% A/AB (n=91 letter grades); Fall 2025: 3.96 GPA, 97.6% A/AB (n=82 letter grades); Spring 2026: 3.97 GPA, 97.8% A/AB (n=92 letter grades).
Fall 2026
Introductory Microprocessor Laboratory
Introductory Microprocessor Laboratory covers software and hardware experiments with a microcomputer system.
Recorded instructors · Fall 2026 Joseph Krachey
Summary
1 / 6
Historical reviews of Michael Morrow: Students should expect to work quite a bit for an A, emphasizing the high workload relative to the credit value.
Grade history
↗ average GPA
letter grades
letter grades
A
AB
B
BC
C
D
F
All recorded terms · compare terms & instructors
Prerequisites
Course mapE C E 353 or concurrent enrollment, or member of Engineering Guest Students
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- ECE 353 · prior_or_concurrent
- member of Engineering Guest Students
Professors
Fall 2026Historical instructors & teaching patterns
Joseph Krachey is the current instructor. Historical reviews for Michael Morrow describe the course as a one-credit lab with minimal professor interaction, requiring a strong TA and lab partner for success.
JOSEPH KRACHEY is recorded teaching in Spring 2011, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
MICHAEL MORROW is recorded teaching in Fall 2006, Spring 2007, Fall 2007, Spring 2008, Fall 2008, Spring 2009, Fall 2009, Spring 2010. 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 |
|---|---|---|---|
| LAB 001 | Classroom Instruction | 18 / 18 | 8 |
| LAB 002 | Classroom Instruction | 11 / 18 | 0 |
| LAB 003 | Classroom Instruction | 18 / 18 | 0 |
| LAB 005 | Classroom Instruction | 10 / 18 | 0 |
| LAB 006 | Classroom Instruction | 18 / 18 | 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 Morrow: This one-credit lab course requires significant effort to achieve an A, with limited professor interaction as the instructor primarily designs and maintains the curriculum.
Recent recorded grades — Spring 2025: 3.99 GPA, 100.0% A/AB (n=91 letter grades); Fall 2025: 3.96 GPA, 97.6% A/AB (n=82 letter grades); Spring 2026: 3.97 GPA, 97.8% A/AB (n=92 letter grades).
difficulty & workload
Historical reviews of Michael Morrow: Students should expect to work quite a bit for an A, emphasizing the high workload relative to the credit value.
Historical reviews of Michael Morrow: Success depends heavily on having a knowledgeable lab partner and a good TA, as direct interaction with the professor is minimal.
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 · 0.10 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
Introductory Microprocessor Laboratory
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:320:006319",
"course_id": "ECE 315",
"course_uid": "course_28637d435e2aa66480a2a6f2",
"term_id": "1272",
"source_course_id": "006319",
"source_subject_id": "320",
"title": "Introductory Microprocessor Laboratory",
"credits_min": 1,
"credits_max": 1,
"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": "d44636cc23256484a30d5f54d5f5e3886d9859d56921180a5fd43dda56f08113",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}