Recent recorded grades — Fall 2021: 3.50 GPA, 68.2% A/AB (n=110 letter grades); Fall 2023: 3.44 GPA, 61.3% A/AB (n=124 letter grades).
Engineering Measurements and Instrumentation
Covers theory of modern instrumentation, experimental design, and data analysis for hypothesis testing and control systems.
Summary
Historical reviews of Danny Aerts, Scott Sanders: Labs constitute a large portion of the grade and require substantial time for troubleshooting and reports. Reviewers report varying difficulty levels and occasional lack of feedback.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course map(M E 306 orE M A 303),M E 361, 340, and (E C E 376, 230, orM E 376)
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Professors
Fall 2026No course-specific feedback yet.
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Historical instructors & teaching patterns
Joseph Andrews is the current instructor for ME 368. Historical reviews for Danny Aerts describe him as a patient and fair lab instructor, though some found his lectures unengaging and feedback vague. Scott Sanders was viewed as knowledgeable but provided minimal help and vague expectations, requiring significant student effort.
DANNY AERTS is recorded teaching in Fall 2006, Fall 2007, Spring 2011, Fall 2012, Spring 2013, Fall 2013, Fall 2014, Spring 2015. Recorded history may be incomplete and does not establish a future schedule.
JOSEPH ANDREWS is recorded teaching in Fall 2021, Fall 2023. Recorded history may be incomplete and does not establish a future schedule.
SCOTT SANDERS is recorded teaching in Fall 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Fall 2015, Fall 2016, Spring 2018, Fall 2019, Fall 2022, 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 | 193 / 203 | 1 |
| LAB 306 | Classroom Instruction | 29 / 30 | 0 |
| LAB 302 | Classroom Instruction | 29 / 30 | 1 |
| LAB 304 | Classroom Instruction | 30 / 30 | 0 |
| LAB 305 | Classroom Instruction | 30 / 30 | 0 |
| LAB 301 | Classroom Instruction | 29 / 30 | 0 |
| LAB 308 | Classroom Instruction | 21 / 25 | 0 |
| LAB 307 | Classroom Instruction | 25 / 30 | 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
Reviews for historical instructors Danny Aerts and Scott Sanders describe a straightforward course where labs heavily impact grades, though lecture engagement and lab support differ between instructors.
Recent recorded grades — Spring 2025: 3.79 GPA, 90.4% A/AB (n=114 letter grades); Fall 2025: 3.51 GPA, 75.7% A/AB (n=173 letter grades); Spring 2026: 3.79 GPA, 90.0% A/AB (n=120 letter grades).
difficulty & workload
Historical reviews of Danny Aerts, Scott Sanders: Labs constitute a large portion of the grade and require substantial time for troubleshooting and reports. Reviewers report varying difficulty levels and occasional lack of feedback.
Historical reviews of Danny Aerts, Scott Sanders: Lab instruction experiences differ, with some praising prompt grading and patience while others cite vague feedback or rudeness. Lectures are described as unengaging.
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 · 0.14 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
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 Measurements and Instrumentation
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:612:012001",
"course_id": "ME 368",
"course_uid": "course_5e431c462635aa7dbe86d6d9",
"term_id": "1272",
"source_course_id": "012001",
"source_subject_id": "612",
"title": "Engineering Measurements and Instrumentation",
"credits_min": 4,
"credits_max": 4,
"typically_offered": "Fall, Spring"
}
]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": "de3ab4b52e5fb863c5c9d40ef8a1c5784efa4094110d2653668f76debb2f2531",
"requirements_status": "needs_review",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}