Current instructor

Young Wu

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.60/5 from 48 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

COMPSCI 540
Quality 5/5Difficulty 3/5
He was great. He has been teaching this course for some years and knows how to teach it. He is very reachable. He allowed us to use LLMs for the projects and instead made it a competition so that you had to study to be good on the competitions. This was my best project experience I had from UW Madison.
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COMPSCI 540
Quality 1/5Difficulty 2/5
UW-Madison would be better off spending the money they waste on this professor on AI tokens for students instead. His accent in class is almost impossible to understand. The real kicker? He actively encourages you to use AI on assignments… then turns around and reports you for academic misconduct the moment you actually do.
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COMPSCI 540
Quality 1/5Difficulty 4/5
Makes the class difficult for no reason, I go to review sessions and study groups and this is still so hard because his teaching style is not good.
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559 · course not matched
Quality 5/5Difficulty 2/5
Dedicated and cares about his student
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COMPSCI 540
Quality 1/5Difficulty 4/5
Bro has significant stutters, lectures are long and dense, exams are difficult, but the majority of your grade is in homework. You will learn most of the classwork on your own time most likely, or through going through slides on your own. Lock in on practice exams and do good on the homework and you will pass.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Young Wu

COMPSCI 540

Introduction to Artificial Intelligence

3 credits

Introduction to Artificial Intelligence covering search, deduction, knowledge representation, machine learning, and probabilistic reasoning with applications in NLP, vision, and robotics.

Offering recorded · Spring 2027 · Sources

Past student reviews · Young Wu

Young Wu held extra coding and review sessions, and students found him reachable and helpful. Some praised his interesting demos and patient office hours, while others noted his lectures were difficult to follow despite his qualifications.

Young WuMisha Khodak

historical GPA · grades

Fall 2022–Spring 2026
COMPSCI 699

Directed Study

1–6 credits

Directed study projects for Computer Science juniors and seniors, arranged with a faculty member.

Offering recorded · Spring 2027 · Sources

Fred SalaDan Negrut+49 more

historical GPA · grades

Fall 2022–Spring 2026 · limited sample

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027COMPSCI 298Directed Study in Computer Science
Spring 2027COMPSCI 540Introduction to Artificial Intelligence
Spring 2027COMPSCI 698Directed Study
Spring 2027COMPSCI 699Directed Study
Fall 2026COMPSCI 298Directed Study in Computer Science
Fall 2026COMPSCI 540Introduction to Artificial Intelligence
Fall 2026COMPSCI 559Computer Graphics
Fall 2026COMPSCI 698Directed Study

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

Instructor identity & provenance 
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