Fall 2026

Introduction to Quality Engineering

ISYE 575 introduces quality engineering through statistical methods, design of experiments, and robust product design for industrial settings.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 5

One historical review rated the difficulty as very low, suggesting minimal effort was required for the course.

Grade history

↗
average GPA
letter grades
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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

ISYE 575

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026

No 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 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

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

  • Quality improvement methods
  • Observational methods and design of experiments
  • Factor discovery and variation analysis
  • Robust product design

Skills

  • Statistically based quality improvement methods
  • Design of experiments and factor analysis
  • Robust product design

Grades

Latest available · Spring 2018— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

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

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.

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Selected offering source records

No offering records for the selected term.

Raw records 
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Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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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"
}