Simulation Modeling and Analysis
Introduces simulation modeling and analysis for production, logistics, and service systems, emphasizing model building, statistical data analysis, and software use for system design and improvement through case studies.
Summary
Past student reviews · Leyuan Shi
One student rated the difficulty as low, noting the class taught only what was needed for practicality or exams.
What you’ll be able to do
Identify the major capabilities and limitations of discrete-event simulation for modeling types of systems that industrial engineers commonly encounter
Model and run discrete-event simulation in practical situations
Identify the main assumptions underlying simulation models, and what can happen when these assumptions do not hold
Apply the results of the modeling process to management and other non-specialist users of engineering analyses
Apply experimental design or data analytics for systems comparison and output analysis of the simulation models
Apply simulation input/output techniques to model complicated stochastic systems such as manufacturing production systems and health care systems
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course map(COMP SCI 200, 220, 300, 301, or placement into COMP SCI 300) and (STAT 312, 324, or STAT/MATH 310), graduate/professional standing, or member of Engineering Guest Students
- COMPSCI 200 · unspecified
- COMPSCI 220 · unspecified
- COMPSCI 300 · unspecified
- 301
- placement into COMP SCI 300
- take one
- 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
- COMPSCI 200 · unspecified
- COMPSCI 220 · unspecified
- COMPSCI 300 · unspecified
- 301
- placement into COMP SCI 300
- Any of
- Any of
- graduate/professional standing
- member of Engineering Guest Students
- All of
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
LEYUAN SHI is recorded teaching in Spring 2009, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Spring 2023. 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
No records available.
Student experience
the class
Past student reviews · Leyuan Shi
Students described the course as providing practical knowledge necessary for qualifying exams.
Recent recorded grades — Spring 2020: 3.58 GPA, 83.3% A/AB (n=6 letter grades); Spring 2022: 3.64 GPA, 83.3% A/AB (n=18 letter grades); Spring 2023: 3.50 GPA, 61.5% A/AB (n=13 letter grades).
difficulty & workload
Past student reviews · Leyuan Shi
One student rated the difficulty as low, noting the class taught only what was needed for practicality or exams.
Past student reviews · Leyuan Shi
A former student criticized the instructor for missing half the classes, calling it a negative experience.
Topics
- Discrete-event simulation capabilities and limitations
- Application to production, logistics, and service systems
- Statistical data analysis and output analysis
- Stochastic systems and input/output techniques
Skills
- Discrete-event simulation modeling and execution
- Statistical data analysis and output analysis for simulations
- Simulation input/output techniques for stochastic systems
Grades
Latest available · Spring 2023— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2023
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
[]
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
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "43af9cbdbf4d9467b79c2b4341eac20324ee5ba1266b7fd77c30a8f209055db2",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}