Introduction to Manufacturing Systems, Design and Analysis
Introduction to technologies, processes, and systems in modern discrete part manufacturing, emphasizing the behavior of integrated systems through design and analysis.
Summary
Past student reviews · Darek Ceglarek
The class demanded a lot of independent work and preparation from students.
What you’ll be able to do
Distinguish advantages and disadvantages for a range of manufacturing processes
Select an appropriate manufacturing process when given information such as part design, material, and production quantity
Use terminology that relates to manufacturing systems design and analysis
Examine manufacturing system performance by applying analytical techniques such as line balancing, manufacturing system benchmarking, inventory models, and queuing formulas
Utilize computer-aided design and manufacturing software to display part geometry and create toolpaths for a CNC program
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapI SY E 315, member of Engineering Guest Students, or graduate/professional standing
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- ISYE 315
- member of Engineering Guest Students
- graduate/professional standing
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
XIN WANG is recorded teaching in Spring 2017, Spring 2018, Spring 2019. 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
Spring 2027Schedule 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
Student experience
the class
Past student reviews · Darek Ceglarek
Students described the course content as challenging, requiring significant independent work and preparation to succeed.
Recent recorded grades — Spring 2024: 3.12 GPA, 50.0% A/AB (n=28 letter grades); Spring 2025: 3.65 GPA, 92.6% A/AB (n=27 letter grades); Fall 2025: 3.64 GPA, 78.6% A/AB (n=14 letter grades).
difficulty & workload
Past student reviews · Darek Ceglarek
The class demanded a lot of independent work and preparation from students.
Past student reviews · Xin Wang
One student found Xin Wang’s pacing frustrating, noting the first two-thirds were too easy while the final third was rushed, leaving them feeling they learned little.
Topics
- Technologies, processes, and systems of modern discrete part manufacturing.
- Behavior of integrated manufacturing systems.
- Line balancing, benchmarking, inventory models, and queuing formulas.
- CAD/CAM software usage for part geometry and CNC toolpath creation.
Skills
- Evaluate and select manufacturing processes based on part design, material, and production quantity.
- Apply standard terminology related to manufacturing systems design and analysis.
- Analyze manufacturing system performance using line balancing, benchmarking, inventory models, and queuing formulas.
- Use CAD/CAM software to display part geometry and generate CNC toolpaths.
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
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
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
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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 gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"requirements_status": "valid",
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"observed_at": "2026-10-14 17:50:09.728220+00:00"
}