Current instructor

Tony McDonald

/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.

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

What students say

Original student reviews · all captured dates

ISYE-649 · course not matched
Quality 5/5Difficulty 3/5
His lectures were well-organized and informative. He clearly explained concepts. Assignments were challenging, but were fairly graded. The deliverables for the final project were clearly explained, and he provided constructive feedback after each submission. Quizzes and group discussions matter a lot in this class.
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ISYE 350
Quality 4/5Difficulty 2/5
The most difficult part of the course was just figuring out what you needed to do. Directions were unclear, nonexistent, or posted twice with significant differences. Other than that the class was super easy, and Tony was pretty easy going. Most, if not all, got an A, and the presentations weren't stressful. No exams, just a semester long project.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Tony McDonald

ISYE 350

Industrial Engineering Design I

3 credits

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

Offering recorded · Fall 2026

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.

Tony McDonald

historical GPA · grades

Spring 2022–Spring 2026
ISYE 562

Human Factors of Data Science and Machine Learning

3 credits

ISYE 562 examines the human side of data science, covering bias, fairness, and trust, while surveying machine learning techniques through engineering case studies.

Offering recorded · Fall 2026

Recent recorded grades — Spring 2024: 3.72 GPA, 96.0% A/AB (n=25 letter grades); Spring 2026: 3.89 GPA, 96.9% A/AB (n=65 letter grades).

Tony McDonald

historical GPA · grades

Spring 2023–Spring 2026
ISYE 699

Advanced Independent Study

1–5 credits

ISYE 699 is an advanced independent study course conducted under faculty supervision.

Offering recorded · Fall 2026

Hannah SilberTerry Mann+29 more

historical GPA · grades

Spring 2022–Spring 2026 · limited sample

Recorded teaching history

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Fall 2026ISYE 350Industrial Engineering Design I
Fall 2026ISYE 562Human Factors of Data Science and Machine Learning
Fall 2026ISYE 699Advanced Independent Study
Fall 2026ISYE 790Master's Research and Thesis
Fall 2026ISYE 890Pre-dissertator's Research
Fall 2026ISYE 990Research and Thesis

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance 
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