COMPSCI/ECE 533 covers the mathematical representation of images, including degradation models, enhancement, restoration, segmentation, coding, pattern recognition, and tomography.
Offering recorded · Fall 2026
Historical reviews indicate high difficulty, citing assignment errors and unclear problem explanations in class.
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.
ECE 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.
ECE 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.