ENEE439D

Topics in Signal Processing; Design Experience in Machine Learning

Prerequisite: Completion of the following courses with a"C-" or better: ENEE439M; ENEE324 or STAT400. Restriction: Permission of ECE Department required. A design course bringing real-world design experience to students in a team setting. It draws synergy between machine learning, data science, sensing and signal processing, and other engineering skills and knowledge.

Sister Courses: ENEE439M

Spring 2024

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Average rating: 4.00

Spring 2023

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Past Semesters

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Average rating: 4.00

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.