Special Topics in Industrial Engineering

ISYE 601 covers special topics in industrial engineering, with sample topics including Simulation and Systems Design.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

1 / 5

Historical reviews of John Lee: The course has a moderate difficulty level.

Grade history

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

Prerequisites

Course map

None

  • None
ISYE 601

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

Prerequisite text tree
  • None

Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

John Lee taught this course historically, receiving high praise for its utility in learning data visualization in R. Reviewers found the class to be a great learning experience under his instruction.

JOHN LEE is recorded teaching in Fall 2017, Fall 2018, Fall 2019, Spring 2020, Fall 2020. 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

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

Historical reviews of John Lee: John Lee's course is a great way to learn data visualization in R.

Recent recorded grades — Fall 2019: 3.69 GPA, 82.4% A/AB (n=74 letter grades); Spring 2020: 3.81 GPA, 91.9% A/AB (n=62 letter grades); Fall 2020: 3.69 GPA, 88.1% A/AB (n=42 letter grades).

difficulty & workload

Historical reviews of John Lee: The course has a moderate difficulty level.

Historical reviews of John Lee: Students found the class highly valuable for acquiring R skills.

Topics

  • Simulation
  • Systems Design

Grades

Latest available · Fall 2020— not enough history to project Fall 2026.

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 2020

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2020 · 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

1111 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.

Selected offering source records

No offering records for the selected term.

Raw records
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
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": "4256f51f09a2c0b2d88f7b74e8bba155ffe1620917e50d1fb3ffe80b23e72f6a",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}