Introduction to Quality Engineering
ISYE 575 introduces quality engineering through statistical methods, design of experiments, and robust product design for industrial settings.
Summary
One historical review rated the difficulty as very low, suggesting minimal effort was required for the course.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course map(I SY E 210,MATH/STAT 310,STAT 312 or concurrent enrollment), graduate/professional standing, or member of Engineering Guest Students
- 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
- Any of
- graduate/professional standing
- member of Engineering Guest Students
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical reviews of Terry Mann: Terry Mann is described as a favorite teacher by a student who took multiple classes with him, including ISYE 575. The review highlights his high quality rating and the student's enthusiasm for future courses with him.
TERRY MANN is recorded teaching in Fall 2008, Fall 2009, Fall 2010, Fall 2011, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018. 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 |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Historical reviews describe Terry Mann as a highly favored instructor with an easy course load, though no current instructor reviews are available.
Recent recorded grades — Spring 2016: 3.71 GPA, 85.5% A/AB (n=55 letter grades); Spring 2017: 3.79 GPA, 92.1% A/AB (n=63 letter grades); Spring 2018: 3.82 GPA, 92.6% A/AB (n=68 letter grades).
difficulty & workload
One historical review rated the difficulty as very low, suggesting minimal effort was required for the course.
A student reported Terry Mann as their favorite teacher, indicating a highly positive historical learning experience.
Topics
Skills
Grades
Latest available · Spring 2018— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Spring 2018
More grade details Grade mix, volume & source data
Where this course fits relative to
Latest available grades · Spring 2018 · 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
1010 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
No offering records for the selected term.
Raw records
[]
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": "66d4d915b70eb185c3007141941cb1214a984ae08021f6a61ecaee8b066e307e",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}