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Spring 2027

4 courses

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 Lesieutre Ulugbek 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 Hoffman Dan Negrut+54 more

historical GPA · grades

Fall 2022–Spring 2026 · limited sample

ECE 890

Pre-dissertator's Research

1–9 credits

Pre-Dissertator's Research involves independent doctoral research in Electrical Engineering under instructor oversight.

Offering recorded · Spring 2027 · Sources

Irena Knezevic Dan Negrut+74 more

No recorded grade history

ECE 990

Dissertator's Research

1–12 credits

Independent dissertation work in Electrical Engineering supervised by a qualified instructor.

Offering recorded · Spring 2027 · Sources

Irena Knezevic Dan Negrut+67 more

No recorded grade history

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