Historical instructor

GRIGORIS CHRYSOS

Adjusted rating
RMP 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

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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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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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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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

No teaching recorded in Fall 2026.

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Recorded teaching history

Distinct courses recorded per term

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Browse recorded courses
TermCourseTitle
Spring 2026COMPSCI 681Senior Honors Thesis
Spring 2026COMPSCI 682Senior Honors Thesis
Spring 2026COMPSCI 799Master's Research
Spring 2026COMPSCI 899Pre-dissertator Research
Spring 2026ECE 699Advanced Independent Study
Spring 2026ECE 790Master's Research
Spring 2026ECE/MATH/STAT 888Topics in Mathematical Data Science
Fall 2025COMPSCI 681Senior Honors Thesis
Fall 2025COMPSCI 799Master's Research
Fall 2025COMPSCI/ECE/ME 532Matrix Methods in Machine Learning
Fall 2025ECE 699Advanced Independent Study
Fall 2025ECE 790Master's Research
Fall 2025ECE 890Pre-dissertator's Research
Spring 2025COMPSCI/ECE 761Mathematical Foundations of Machine Learning
Spring 2025ECE 399Independent Study
Spring 2025ECE 699Advanced Independent Study
Spring 2025ECE 790Master's Research
Spring 2025ECE 999Advanced Independent Study
Fall 2024COMPSCI/ECE/ME 532Matrix Methods in Machine Learning
Fall 2024ECE 699Advanced Independent Study
Fall 2024ECE 790Master's Research
Spring 2024ECE 204Data Science & Engineering
Spring 2024ECE 890Pre-dissertator's Research

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

Instructor identity & provenance
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