Current instructor

Blerina Gkotse

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

Raw average: 3.74/5 from 23 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 3/5Difficulty 2/5
Lectures are not good -- slides are jam packed with content which is hard to read and understand (like incredibly complicated formulas which aren't even necessary to know). On the bright side though the exams are about a 3.75/5 on the easy scale (5/5 being very easy) and HW is very easy -- so a very easy CS elective and paired well with 577
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COMPSCI 540
Quality 4/5Difficulty 1/5
Class is insanely easy, only issue is that the grades are curved rather than actually being cutoffs. So even if you have a 99% going into the final, you could still end up with a C or worse.
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COMPSCI 540
Quality 1/5Difficulty 1/5
They should reduce the percentage weight of the assignments. The way this course is structured is unreasonable. Never seen such a disgusting course.
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COMPSCI 540
Quality 4/5Difficulty 3/5
The class was well structured, and the lectures were informative. The professor seemed knowledgeable and was extremely accessible outside the course.
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COMPSCI 540
Quality 4/5Difficulty 2/5
Her lectures and the class as a whole were fairly well-organized. The curve does not work, though, since 70% of the class is homework and nearly everyone has a grade in the upper 90s going into the final. They try to reassure you by saying "a 90 will likely not get a C"... not really what you want to hear.
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COMPSCI 540
Quality 5/5Difficulty 2/5
She does not want to overwhelm students, and I appreciate the course design. Tests are not difficult. I recommend taking CS540 with her.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Blerina Gkotse

COMPSCI 220 introduces data science programming with Python, focusing on analyzing real datasets and visual communication, with no prior experience required.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2026

COMPSCI 319 introduces data science programming in Python, covering basics, web scraping, databases, and visualization for research datasets.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2026

Recorded teaching history

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Fall 2026COMPSCI 220Data Science Programming I
Fall 2026COMPSCI 319Data Science Programming I for Research

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

Instructor identity & provenance
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