Spring 2027

Design & Applications of Smart Manufacturing Processes

Introduction to smart manufacturing focusing on connecting operational and information technology systems to improve efficiency, covering sensors, data, cyber-security, and control systems.

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

Summary

1 / 4

Recent recorded grades — Fall 2023: 3.92 GPA, 92.3% A/AB (n=13 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=19 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=18 letter grades).

What you’ll be able to do

  • Describe elements of smart manufacturing

  • Identify applications for smart manufacturing in their company and articulate arguments for implementing it as well as challenges that may be encountered

  • Communicate with the various experts that will need to be engaged to implement smart manufacturing

  • Make informed decisions about manufacturing automation, monitoring, control, and human factors

Source: UW Guide

Grade history

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

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
ME 529

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

Prerequisite text tree
  • Graduate/professional standing

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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SectionModeEnrolled / capacityWaitlist

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Student experience

the class

Recent recorded grades — Fall 2023: 3.92 GPA, 92.3% A/AB (n=13 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=19 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=18 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Connecting operational and information technology systems
  • Sensors, data, industrial computing, cyber-security, human factors, and sequential logic control
  • Designing adaptive and flexible manufacturing processes

Skills

  • Describing elements of smart manufacturing
  • Identifying applications and articulating arguments for smart manufacturing implementation
  • Communicating with experts regarding smart manufacturing implementation
  • Making informed decisions about manufacturing automation, monitoring, control, and human factors

Grades

Latest available · Fall 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 Fall 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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Original comments behind the course and instructor summaries.

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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": "5b33f80bd98c8f72ff1a82a0971c5e664bc964b4f01b09a34111abe28ee6a9ee",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}