Industrial Engineering Design I

ISYE 350 introduces design tools through experiential learning, focusing on experiments, measurements, data analysis, system design, and prototyping.

offering recorded3 credits
Recorded instructors · Fall 2026 Tony McDonald3.7/5

Summary

1 / 7

The primary difficulty is unclear or conflicting directions for the project, though the overall workload is low.

Grade history

average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Declared in Industrial Engineering, (COMP SCI 200, 220, 300, 301, 302, or placement into COMP SCI 300), (I SY E 210,MATH/​STAT 309, 431,MATH 531,STAT 311 or 324) andI SY E 315

    • Declared in Industrial Engineering
      • COMP SCI 200
      • 220
      • COMP SCI 300
      • 301
      • 302
      • placement into COMP SCI 300
      take one
      • I SY E 210
      • MATH/STAT 309
      • 431
      • MATH 531
      • STAT 311
      • 324
      take one
    • I SY E 315
    take all
ISYE 350 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • All of
    • Declared in Industrial Engineering
    • Any of
      • COMP SCI 200
      • 220
      • COMP SCI 300
      • 301
      • 302
      • placement into COMP SCI 300
    • Any of
      • I SY E 210
      • MATH/STAT 309
      • 431
      • MATH 531
      • STAT 311
      • 324
    • I SY E 315

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 4.50/5 from 2 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 4.0/5 raw quality · 2.0/5 difficulty · 1 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

Tony McDonald is described as easy-going with a super easy class where most students receive an A. However, reviewers note that directions for the semester-long project are often unclear, nonexistent, or contradictory, making it difficult to understand requirements.

Recent recorded grades — Spring 2023: 4.00 GPA, 100.0% A/AB (n=37 letter grades); Fall 2024: 3.92 GPA, 100.0% A/AB (n=53 letter grades); Spring 2026: 3.78 GPA, 97.4% A/AB (n=38 letter grades).

Historical instructors & teaching patterns

ANTHONY MCDONALD is recorded teaching in Spring 2023, Fall 2024, Spring 2026. 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
LEC 001Classroom Instruction58 / 524
LAB 301Classroom Instruction20 / 162
DIS 601Classroom Instruction20 / 162
LAB 302Classroom Instruction18 / 161
DIS 602Classroom Instruction18 / 161
LAB 304Classroom Instruction20 / 161
DIS 604Classroom Instruction20 / 161

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

Meeting source records

Student experience

the class

Tony McDonald teaches a super easy course with no exams, just a semester-long project where most students get an A.

Recent recorded grades — Spring 2025: 3.96 GPA, 100.0% A/AB (n=53 letter grades); Fall 2025: 3.99 GPA, 100.0% A/AB (n=54 letter grades); Spring 2026: 3.78 GPA, 97.4% A/AB (n=38 letter grades).

difficulty & workload

The primary difficulty is unclear or conflicting directions for the project, though the overall workload is low.

Students find the class easy and the instructor easy-going, but frustration arises from ambiguous assignment instructions.

Topics

  • Experiments, measurements, data analysis, system design, and prototyping

Skills

  • Conducting experiments, taking measurements, analyzing data, designing systems, and prototyping.

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.03 GPA average error.

Grades over time

Through Fall 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

1283 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
ISYE 350 · Fall 2026

Industrial Engineering Design I

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:490:023827",
    "course_id": "ISYE 350",
    "course_uid": "course_96ae7077bc3892754fa137e5",
    "term_id": "1272",
    "source_course_id": "023827",
    "source_subject_id": "490",
    "title": "Industrial Engineering Design I",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring"
  }
]
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": "854ba78636307468969069fc5e0abc2948e762fe5935bb062ed38b2b30f628eb",
  "requirements_status": "needs_review",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}