Current instructor

Sushmita Roy

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 3.00/5 from 2 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

576 · course not matched
Quality 4/5Difficulty 1/5
It is easy for cs students like me. For those who are in biology... I am not sure how you feel. The course is a quite useful intro course for people who want to do research in bioinformatics.
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BMI/COMPSCI 576
Quality 2/5Difficulty 4/5
Don't take this class unless you have previous algorithms, statitstics and biology courses. She doesn't explain the algorithms well enough to understand and examples in the slides are not present. If you ask a question, prepare to get into an argument with her about why you don't understand. Midterm is also very difficult, not enough time.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Sushmita Roy

Independent Study is a directed course to pursue knowledge beyond the curriculum. Students apply coursework to real biomedical applications and create literature reviews and publications.

Offering recorded · Spring 2027 · Sources

Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=2 letter grades).

No recorded grade history

Pre-dissertator research course for graduate/professional standing students focused on developing critical, analytical, and independent thinking for independent research.

Offering recorded · Spring 2027 · Sources

Recent recorded grades — Fall 2025: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=6 letter grades).

historical GPA · grades

Fall 2025–Spring 2026 · limited sample

Graduate research course for dissertators focused on developing skills to design, implement, and apply computational and statistical frameworks to address diverse biomedical questions.

Offering recorded · Spring 2027 · Sources

No recorded grade history

Directed study projects for Computer Science juniors and seniors, arranged with a faculty member.

Offering recorded · Spring 2027 · Sources

historical GPA · grades

Fall 2022–Spring 2026 · limited sample

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

No recorded grade history

GENETICS 990

Research

1–12 credits

Independent laboratory research in preparation of a graduate thesis under supervision of a faculty member.

Offering recorded · Spring 2027 · Sources

No recorded grade history

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027BMI 699Independent Study
Spring 2027BMI 899Pre-dissertator Research
Spring 2027BMI 990Dissertator Research
Spring 2027COMPSCI 682Senior Honors Thesis
Spring 2027COMPSCI 699Directed Study
Spring 2027COMPSCI 790Master's Thesis
Spring 2027COMPSCI 799Master's Research
Spring 2027COMPSCI 899Pre-dissertator Research
Spring 2027COMPSCI 990Dissertation
Spring 2027GENETICS 990Research
Fall 2026BMI 699Independent Study
Fall 2026BMI 800Becoming a Biomedical Data Scientist
Fall 2026BMI 899Pre-dissertator Research
Fall 2026BMI 990Dissertator Research
Fall 2026BMI/COMPSCI 775Computational Network Biology
Fall 2026COMPSCI 681Senior Honors Thesis
Fall 2026COMPSCI 699Directed Study
Fall 2026COMPSCI 790Master's Thesis
Fall 2026COMPSCI 799Master's Research
Fall 2026COMPSCI 990Dissertation
Fall 2026GENETICS 990Research

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

Instructor identity & provenance
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