Current instructor

Mohit Gupta

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

Raw average: 2.67/5 from 3 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 766
Quality 4/5Difficulty 4/5
He's a very kind and patient professor who cares about his students' success. You need to go to lecture to get the printed slides (they aren't posted online). There are 7 HWs that are usually challenging (3rd and 4th are the hardest). The semester project is open ended which is nice. Know Matlab, otherwise it will be very difficult
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CS534 · course not matched
Quality 1/5Difficulty 3/5
Easy homework but harshly graded projects. If you slightly failed one homework, than you are screwed. Take the graduate version cs766 which is nearly the same thing but has 70% a rate.
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CS534 · course not matched
Quality 3/5Difficulty 3/5
The lectures are very conceptual and math heavy, no code is shown in class. If you don't have a strong math background you won't understand what's going on. Only a few lectures have relevance to programming assignments. If you go to office hours he can explain much more clearly and send you in the right direction though. He's an ok professor.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with Mohit Gupta

Introduction to computer vision covering image formation, feature detection, 3D reconstruction, and object recognition with project-based applications.

Offering recorded · Fall 2026

Recent recorded grades — Fall 2025: 3.50 GPA, 77.3% A/AB (n=88 letter grades). Includes jointly taught sections.

historical GPA · grades

Fall 2025–Fall 2025 · limited sample

ECE 399 is an independent study course where students engage in directed projects arranged with an instructor.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2026

ECE 699 is an advanced independent study course where students engage in directed study projects arranged with an instructor.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Fall 2023 · limited sample

ECE 999 is an advanced independent study course where students engage in directed study projects arranged with an instructor.

Offering recorded · Fall 2026

historical GPA · grades

Spring 2022–Spring 2022 · limited sample

Recorded teaching history

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Fall 2026COMPSCI 298Directed Study in Computer Science
Fall 2026COMPSCI 566Introduction to Computer Vision
Fall 2026COMPSCI 681Senior Honors Thesis
Fall 2026COMPSCI 790Master's Thesis
Fall 2026COMPSCI 799Master's Research
Fall 2026COMPSCI 899Pre-dissertator Research
Fall 2026COMPSCI 990Dissertation
Fall 2026ECE 399Independent Study
Fall 2026ECE 699Advanced Independent Study
Fall 2026ECE 790Master's Research
Fall 2026ECE 890Pre-dissertator's Research
Fall 2026ECE 990Dissertator's Research
Fall 2026ECE 999Advanced Independent Study

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

Instructor identity & provenance
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