Current instructor

Ulugbek Kamilov

What students say

Original student reviews · all captured dates

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Classes with Ulugbek Kamilov

COMPSCI/ECE/ME 532

Matrix Methods in Machine Learning

3 credits

Matrix Methods in Machine Learning covers linear algebraic foundations including SVD, regression, and regularization applied to classification, clustering, and neural networks.

Offering recorded · Spring 2027 · Sources

Recent recorded grades — Spring 2026: 3.29 GPA, 63.2% A/AB (n=114 letter grades).

Bernie LesieutreUlugbek Kamilov

historical GPA · grades

Fall 2022–Spring 2026
ECE 399

Independent Study

1–3 credits

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

Offering recorded · Spring 2027 · Sources

Eric HoffmanDan Negrut+54 more

historical GPA · grades

Fall 2022–Spring 2026 · limited sample

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027COMPSCI/ECE/ME 532Matrix Methods in Machine Learning
Spring 2027ECE 399Independent Study
Spring 2027ECE 890Pre-dissertator's Research
Spring 2027ECE 990Dissertator's Research
Fall 2026ECE 699Advanced Independent Study
Fall 2026ECE 890Pre-dissertator's Research
Fall 2026ECE/MATH/STAT 888Topics in Mathematical Data Science

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

Instructor identity & provenance 
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