Spring 2027

Simulation Modeling Laboratory

Simulation Modeling Laboratory involves computer exercises in random variables, queuing system spreadsheets, and simulation software, concluding with a project.

offering recorded1 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 3

Recent recorded grades — Spring 2025: 3.45 GPA, 78.9% A/AB (n=38 letter grades); Fall 2025: 3.63 GPA, 84.5% A/AB (n=71 letter grades); Spring 2026: 3.73 GPA, 93.0% A/AB (n=43 letter grades).

What you’ll be able to do

  • Apply knowledge of math, science, and engineering principles to model real stochastic systems

  • Identify, formulate, and solve problems using appropriate data analytic and simulation approaches

  • Understand and apply probabilistic modeling techniques such as Markov Chains and queueing theory to study stochastic systems

  • Apply statistical methods to analyze stochastic behaviors of the systems

  • Apply simulation software to model the process and evaluate performance measures of the systems

Source: UW Guide

Grade history

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

Prerequisites

Course map

Concurrent enrollment inI SY E 320

ISYE 321

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

Prerequisite text tree

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

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LAB 001Classroom Instruction0 / 220
LAB 002Classroom Instruction0 / 220

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2025: 3.45 GPA, 78.9% A/AB (n=38 letter grades); Fall 2025: 3.63 GPA, 84.5% A/AB (n=71 letter grades); Spring 2026: 3.73 GPA, 93.0% A/AB (n=43 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Random variables
  • Queuing systems
  • Stochastic systems
  • Markov Chains and queueing theory

Skills

  • Generation and analysis of random variables
  • Spreadsheet modeling of queuing systems
  • Use of simulation software packages
  • Application of probabilistic modeling techniques including Markov Chains and queueing theory

Grades

Latest available · Spring 2026— 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 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

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.

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Selected offering source records
ISYE 321 · Spring 2027

Simulation Modeling Laboratory

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:490:010232",
    "course_id": "ISYE 321",
    "course_uid": "course_beae68ec47153e35e329b8b7",
    "term_id": "1274",
    "source_course_id": "010232",
    "source_subject_id": "490",
    "title": "Simulation Modeling Laboratory",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Fall, Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

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No records available.

Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "fa886555b3c87c8bb2f9539b70324680ba1d61fec75f9c97ee94243590eebf56",
  "requirements_status": "needs_review",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}