Current instructor

Swamit Tannu

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 2.47/5 from 19 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 639
Quality 4/5Difficulty 2/5
Prof. Tannu helped me understand the basics of quantum computing and what it really means to do computer science research in this space. I enjoy talking to him after the class and getting a sense of high-level ideas. The homework so far is interesting and hands-on; this course is good if you are intrested in basics of quantum computing.
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COMPSCI 639
Quality 5/5Difficulty 3/5
Prof is really good at explaining basics of quantum computing. I enjoy chatting with him during office hours and after the class, he has a good understanding of what industry is doing in quantum computing space, and he is very easy to talk to.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Swamit Tannu

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

Offering recorded · Spring 2027 · Sources

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

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

Introduction to Computer Engineering covering transistor-based logic, Boolean algebra, combinational and sequential logic design, computer organization, and introductory assembly programming.

Offering recorded · Spring 2027 · Sources

historical GPA · grades

Fall 2022–Spring 2026

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

Offering recorded · Spring 2027 · Sources

historical GPA · grades

Fall 2022–Spring 2026 · limited sample

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

No recorded grade history

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027COMPSCI 699Directed Study
Spring 2027COMPSCI 790Master's Thesis
Spring 2027COMPSCI 799Master's Research
Spring 2027COMPSCI 899Pre-dissertator Research
Spring 2027COMPSCI 990Dissertation
Spring 2027COMPSCI/ECE 252Introduction to Computer Engineering
Spring 2027ECE 399Independent Study
Spring 2027ECE 790Master's Research
Spring 2027ECE 890Pre-dissertator's Research
Fall 2026COMPSCI 638Undergraduate Topics in Computing
Fall 2026COMPSCI 639Undergraduate Elective Topics in Computing
Fall 2026COMPSCI 699Directed Study
Fall 2026COMPSCI 790Master's Thesis
Fall 2026COMPSCI 799Master's Research
Fall 2026COMPSCI 899Pre-dissertator Research
Fall 2026COMPSCI 900Advanced Seminar in Computer Science
Fall 2026COMPSCI 990Dissertation
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.

Instructor identity & provenance
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