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 699 is an advanced independent study course where students engage in directed study projects arranged with an instructor.
Offering recorded · Fall 2026
Kangwook Lee's independent study is rated as difficult, requiring significant effort to achieve substantial learning outcomes in machine learning.
historical GPA · grades
Spring 2022–Fall 2023 · limited sample