Spring 2027

Information Sensing and Analysis for Manufacturing Processes

Covers sensing and multivariate data modeling for monitoring, diagnosis, and quality improvement of manufacturing processes, with applications in health care and finance.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2020: 3.91 GPA, 100.0% A/AB (n=11 letter grades); Spring 2024: 3.81 GPA, 92.3% A/AB (n=13 letter grades); Spring 2025: 3.61 GPA, 88.9% A/AB (n=9 letter grades).

What you’ll be able to do

  • Perform data analysis and propose quality improvement plans

  • Develop, implement, and interpret advanced control charts for monitoring continuous and discrete quality characteristics and multivariate systems

  • Implement appropriate data reduction and data processing methods in statistical process control

  • Apply methods and tools to a real problem-solving experience via a course project

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
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All recorded terms · compare terms & instructors

Prerequisites

Course map

I SY E/​M E 512, graduate/professional standing, or member of Engineering Guest Students

    • ISYE/ME 512
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
ISYE 612

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

Prerequisite text tree
  • Any of
    • ISYE/ME 512
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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Student experience

the class

Recent recorded grades — Spring 2020: 3.91 GPA, 100.0% A/AB (n=11 letter grades); Spring 2024: 3.81 GPA, 92.3% A/AB (n=13 letter grades); Spring 2025: 3.61 GPA, 88.9% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Sensing and multivariate data modeling for manufacturing process monitoring and diagnosis
  • Advanced control charts for continuous, discrete, and multivariate quality characteristics
  • Data reduction and processing methods in statistical process control
  • Applications in health care, financial engineering, service industry, and human factors

Skills

  • Developing and interpreting advanced control charts for continuous and discrete quality characteristics and multivariate systems
  • Implementing data reduction and data processing methods in statistical process control
  • Performing data analysis and proposing quality improvement plans

Grades

Latest available · Spring 2025— not enough history to project Spring 2027.

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 2025

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
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": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "b82ae66dd1cd56f6654d311de738bac7d07ec6df93774cbec849d4cac3f41a8a",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}