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

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 681

Senior Honors Thesis

3 credits

COMPSCI 681 is an individual study course for senior Computer Science majors to complete honors theses under faculty supervision.

No offering record · Spring 2026

Fred SalaJosiah Hanna+3 more

No recorded grade history

COMPSCI 682

Senior Honors Thesis

3 credits

COMPSCI 682 is an individual study course for seniors completing honors theses in Computer Sciences, arranged with a faculty member.

No offering record · Spring 2026

Manolis VlatakisMichael Swift+11 more

historical GPA · grades

Spring 2022–Spring 2022 · limited sample
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.

No offering record · Spring 2026

Azadeh DavoodiSetareh Behroozi+8 more

historical GPA · grades

Spring 2022–Fall 2023 · limited sample
ECE 790

Master's Research

1–9 credits

ECE 790 is a course for independent master's research work under faculty supervision.

No offering record · Spring 2026

John BooskeUmit Ogras+19 more

No recorded grade history

ECE/MATH/STAT 888

Topics in Mathematical Data Science

1–3 credits

ECE/MATH/STAT 888 covers advanced topics in the mathematical foundations of data science.

No offering record · Spring 2026

with this instructor · course overall, matching historical terms

Grigoris Chrysos

historical GPA · grades

Fall 2021–Spring 2026

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
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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