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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

Fred Sala Song Gao+63 more

No recorded grade history

COMPSCI/ECE 761

Mathematical Foundations of Machine Learning

3 credits

Covers probabilistic, algebraic, and geometric data models, mathematical analysis of learning algorithms and optimization methods, and ML applications.

Offering recorded · Spring 2027 · Sources

Past student reviews · Grigoris Chrysos

Grigoris Chrysos taught a proof-based course on ML foundations covering tensor decompositions and statistical learning theory. Students reported conflicting experiences: one described clear lectures and challenging assessments, while another criticized illegible notes, unrelated homework, and the professor's absence for a month.

Grigoris Chrysos

historical GPA · grades

Spring 2023–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 699

Advanced Independent Study

1–6 credits

Advanced Independent Study for ECE involving directed study projects arranged with the instructor.

Offering recorded · Spring 2027 · Sources

Eric Hoffman Irena Knezevic+66 more

historical GPA · grades

Spring 2023–Fall 2023 · limited sample

ECE 790

Master's Research

1–9 credits

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

Irena Knezevic Dan Negrut+69 more

No recorded grade history

ECE 890