Historical instructor

MATTHEW MALLOY

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 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/ME 532
Quality 5/5Difficulty 2/5
Amazing prof. Wants you to learn the material. Quizzes and exams are fair, nothing too overboard. Material itself might often be hard and dense to grasp. The class should have an enforced Linear Algebra Requirement. Only qualm is he's unresponsive to emails often.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with MATTHEW MALLOY

COMPSCI/ECE/ME 532

Matrix Methods in Machine Learning

3 credits

MATRIX METHODS IN MACHINE LEARNING covers linear algebraic foundations and matrix methods for machine learning applications like classification, clustering, and data analysis.

No offering record · Spring 2022

with this instructor · course overall, matching historical terms

Matthew MalloyKang Wook Lee

historical GPA · grades

Fall 2017–Spring 2022
ECE 204

Data Science & Engineering

Credits unavailable

Introduction to Data Science using Python for data analysis and prediction.

No offering record · Spring 2022

with this instructor · course overall, matching historical terms

Matthew Malloy

historical GPA · grades

Fall 2020–Spring 2022 · limited sample
ECE 699

Advanced Independent Study

1–6 credits

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

No offering record · Spring 2022

with this instructor · course overall, matching historical terms

Umit OgrasKarthikeyan Sankaralingam+14 more

historical GPA · grades

Fall 2017–Spring 2022 · limited sample

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2022COMPSCI/ECE/ME 532Matrix Methods in Machine Learning
Spring 2022ECE 204Data Science & Engineering
Spring 2022ECE 699Advanced Independent Study
Fall 2021COMPSCI/ECE 561Probability and Information Theory in Machine Learning
Fall 2021ECE 699Advanced Independent Study
Fall 2020ECE 601Special Topics in Electrical and Computer Engineering
Fall 2020ECE 699Advanced Independent Study
Spring 2020COMPSCI/ECE/ME 532Matrix Methods in Machine Learning
Spring 2020ECE 699Advanced Independent Study
Fall 2019COMPSCI/ECE/ME 532Matrix Methods in Machine Learning
Fall 2019ECE 699Advanced Independent Study
Spring 2014ECE 203Signals, Information, and Computation

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

Instructor identity & provenance 
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