Current instructor

Grigoris Chrysos

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 1.21/5 from 29 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
if your cs 532 professor is him, you'd better start prayinng and let god save you.... say goodbye to a~~boring lecture and confused way of teaching lecture.
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COMPSCI/ECE/ME 532
Quality 1/5Difficulty 5/5
Want an A? Better aim for 94+, because apparently 93 isn't enough. Even Elon Musk might have trouble getting an A here. Expect quizzes almost every week, heavy homework, and exams that are much harder than expected. Lectures and slides are extremely dry, with little guidance about what actually matters. It is hard to stay engaged.
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COMPSCI/ECE/ME 532
Quality 1/5Difficulty 5/5
There is a quiz almost every week, the homework load is heavy, and the exams are very difficult. A 94 is only an A, so even Elon Musk might struggle to get one. The lectures are boring, the slides are dry, and there is little guidance on what to focus on. Most people seem to stop paying attention during class.
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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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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Grigoris Chrysos

COMPSCI 681

Senior Honors Thesis

3 credits

Senior Honors Thesis is an individual study for seniors completing theses for honors in the Computer Sciences major, arranged with a faculty member.

Offering recorded · Spring 2027 · Sources

Fred SalaMing Liu+20 more

No recorded grade history

COMPSCI 899

Pre-dissertator Research

1–9 credits

Pre-dissertator independent research supervised by a faculty member for students who have completed a master's degree but have not reached dissertator status.

Offering recorded · Spring 2027 · Sources

Fred SalaSong Gao+63 more

No recorded grade history

COMPSCI/ECE 761

Mathematical Foundations of Machine Learning

3 credits

Covers probabilistic, algebraic, and geometric data models, mathematical analysis of learning algorithms and optimization methods, and ML applications.

Offering recorded · Spring 2027 · Sources

Past student reviews · Grigoris Chrysos

Grigoris Chrysos taught a proof-based course on ML foundations covering tensor decompositions and statistical learning theory. Students reported conflicting experiences: one described clear lectures and challenging assessments, while another criticized illegible notes, unrelated homework, and the professor's absence for a month.

Grigoris Chrysos

historical GPA · grades

Spring 2023–Spring 2026
ECE 399

Independent Study

1–3 credits

Independent Study course for ECE featuring directed study projects arranged with the instructor.

Offering recorded · Spring 2027 · Sources

Eric HoffmanDan Negrut+54 more

historical GPA · grades

Fall 2022–Spring 2026 · limited sample
ECE 699

Advanced Independent Study

1–6 credits

Advanced Independent Study for ECE involving directed study projects arranged with the instructor.

Offering recorded · Spring 2027 · Sources

Eric HoffmanIrena Knezevic+66 more

historical GPA · grades

Spring 2023–Fall 2023 · limited sample
ECE 790

Master's Research

1–9 credits

Independent work on master's research overseen by a qualified instructor. Students demonstrate the ability to formulate, analyze, and independently solve advanced engineering problems and communicate research results orally and in writing.

Offering recorded · Spring 2027 · Sources

Irena KnezevicDan Negrut+68 more

No recorded grade history

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027COMPSCI 681Senior Honors Thesis
Spring 2027COMPSCI 682Senior Honors Thesis
Spring 2027COMPSCI 790Master's Thesis
Spring 2027COMPSCI 799Master's Research
Spring 2027COMPSCI 899Pre-dissertator Research
Spring 2027COMPSCI/ECE 761Mathematical Foundations of Machine Learning
Spring 2027ECE 399Independent Study
Spring 2027ECE 699Advanced Independent Study
Spring 2027ECE 790Master's Research
Spring 2027ECE 890Pre-dissertator's Research
Spring 2027ECE 990Dissertator's Research
Spring 2027ECE 999Advanced Independent Study
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.

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