Current instructor

Grigoris Chrysos

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

Raw average: 1.24/5 from 25 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/ECE/ME 532
Quality 1/5Difficulty 5/5
Probably one of the worst instructors on campus. Instead of teaching us the content, he assigns YouTube videos for us to watch which are insanely complicated and difficult to understand. He assigns a ton of homework every week, doesn't release adequate practice material, doesn't tell you the grade boundaries, and administers four total exams.
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COMPSCI/ECE/ME 532
Quality 1/5Difficulty 5/5
Please avoid for your sanity. I enrolled into the class with curiosity about the subject, and I am now finishing up realizing he managed to make me hate it. LOTS of homework (due before exams) where python is used (python knowledge is not a requirement), exams are impossible to finish and there are hard proofs.
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COMPSCI/ECE/ME 532
Quality 1/5Difficulty 5/5
The grading criteria are unclear. He DOES NOT tell you your grade until after the end of the semester! Smart person, but didn't enjoy his teaching approach.
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COMPSCI/ECE/ME 532
Quality 1/5Difficulty 5/5
I was in the other section, but it seems like he is in charge of the tests. As an undergraduate this 3 credit course felt like a poorly organized 5 credit course. I came expecting to take notes in lecture, rather we watch youtube videos and try to figure out the homework and activities. The tests are incredibly hard and the proofs are insane.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Grigoris Chrysos

COMPSCI 699

Directed Study

1–6 credits

COMPSCI 699 offers directed study projects for junior and senior students arranged with a faculty member.

Offering recorded · Fall 2026

Shivaram VenkataramanFred Sala+59 more

historical GPA · grades

Spring 2022–Spring 2026
COMPSCI/ECE/ME 532

Matrix Methods in Machine Learning

3 credits

MATRIX METHODS IN MACHINE LEARNING covers linear algebraic foundations and matrix methods for machine learning applications like classification, clustering, and data analysis.

Offering recorded · Fall 2026

Grigoris Chrysos receives uniformly negative reviews for poor organization and unclear instruction. Students report that lectures rely on unrelated videos and slide reading, while exams are excessively difficult with complex proofs. Grading criteria are opaque, and the workload is described as overwhelming and poorly structured.

Grigoris Chrysos

historical GPA · grades

Spring 2022–Spring 2026
ECE 699

Advanced Independent Study

1–6 credits

ECE 699 is an advanced independent study course where students engage in directed study projects arranged with an instructor.

Offering recorded · Fall 2026

Eric HoffmanIrena Knezevic+79 more

historical GPA · grades

Spring 2022–Fall 2023 · limited sample

Recorded teaching history

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Fall 2026COMPSCI 681Senior Honors Thesis
Fall 2026COMPSCI 699Directed Study
Fall 2026COMPSCI 799Master's Research
Fall 2026COMPSCI 899Pre-dissertator Research
Fall 2026COMPSCI/ECE/ME 532Matrix Methods in Machine Learning
Fall 2026ECE 699Advanced Independent Study
Fall 2026ECE 790Master's Research
Fall 2026ECE 890Pre-dissertator's Research
Fall 2026ECE 990Dissertator's Research

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

Instructor identity & provenance 
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