ENEE439D

Topics in Signal Processing; Design Experience in Machine Learning

Reviews for this courseTestudo

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: ENEE439G, ENEE439M, ENEE439N, ENEE439Q

Past Semesters

Min Wu

0 reviews
Average rating: N/A

Min Wu

0 reviews
Average rating: N/A

Min Wu

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.96 between 40 students*

ENEE439D Grade Distribution+-05101520253035404550556065707580859095100% of studentsABCDFWother
A-: 12.5%
A: 75%
A+: 10%
other: 2.5%
* "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.