Performance Analysis of Manufacturing Systems
ISYE/ME 643 teaches the application of stochastic network theory to create performance models for modern manufacturing systems.
Summary
Recent recorded grades — Fall 2014: 3.62 GPA, 84.6% A/AB (n=13 letter grades); Fall 2015: 3.75 GPA, 85.0% A/AB (n=20 letter grades); Spring 2018: 3.62 GPA, 75.0% A/AB (n=12 letter grades).
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course map(I SY E 624 or STAT/I SY E/MATH/OTM 632) and (COMP SCI 200, 220, 300, 301, 302, 400, or placement into COMP SCI 300), graduate/professional standing, or member of Engineering Guest Students
- take one
- take one
- placement into COMP SCI 300
- graduate/professional standing
- member of Engineering Guest Students
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Any of
- Any of
- Any of
- placement into COMP SCI 300
- graduate/professional standing
- member of Engineering Guest Students
- All of
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
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
Recent recorded grades — Fall 2014: 3.62 GPA, 84.6% A/AB (n=13 letter grades); Fall 2015: 3.75 GPA, 85.0% A/AB (n=20 letter grades); Spring 2018: 3.62 GPA, 75.0% A/AB (n=12 letter grades).
difficulty & workload
No workload feedback recorded.
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
Not enough comparable courses for Fall 2026 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
No records available.
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": "107ec673d181f3031586c8c081d1955b8e6d2563a6606b9498d2b68c6160ead0",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}