Historical grades cover up to five years through the selected term. Grade sorting prioritizes courses with at least 100 letter grades.
MATRIX METHODS IN MACHINE LEARNING covers linear algebraic foundations and matrix methods for machine learning applications like classification, clustering, and data analysis.
Offering recorded · Fall 2026
Reviewers describe the workload as excessive, with heavy weekly homework and four exams. The course is considered difficult, featuring hard proofs and exams that are hard to finish.
historical GPA · grades
Spring 2022–Spring 2026ECE 203 introduces signals, information, and computational techniques in electrical engineering.
Offering recorded · Fall 2026
Learning relies heavily on completing exercises and attending labs, with a flipped classroom structure requiring students to watch lectures independently before engaging in in-class activities.
historical GPA · grades
Spring 2022–Spring 2026ECE 330 Signals and Systems covers time-domain and frequency-domain analysis of continuous and discrete signals and systems using Fourier and Laplace transforms.
Offering recorded · Fall 2026
Historical reviews of Bernard Lesieutre: The class starts hard but clarifies before midterms. Tests are reasonably difficult but feature a generous curve, and exams closely mirror practice problems.
historical GPA · grades
Spring 2022–Spring 2026ECE 331 introduces random signal analysis and statistics, covering probability, random processes, and spectral analysis.
Offering recorded · Fall 2026
Exams are poorly designed with high-stakes questions, and the course covers too many topics with insufficient depth, creating a stressful workload.
historical GPA · grades
Fall 2022–Fall 2025ECE 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