The university continues to monitor the circumstances related to the pandemic. As such, course delivery methods and locations for the Spring 2021 semester will be finalized and published in the Schedule of Classes by December 4, 2020.
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Courses - Fall 2020
ENEE
Electrical & Computer Engineering Department Site
ENEE436
(Perm Req)
Foundations of Machine Learning
Credits: 3
Grad Meth: Reg
Prerequisite: 1 course with a minimum grade of C- from (ENEE324, STAT400); and 1 course with a minimum grade of C- from (ENEE150, CMSC216); and permission of ENGR-Electrical & Computer Engineering department.
Restriction: Permission of ENGR-Electrical & Computer Engineering department. And must be in one of the following programs (Engineering: Electrical; Engineering: Computer) ; or must be in the ECE Department's Machine Learning notation program.
Credit only granted for: ENEE436, ENEE439M, or CMSC422.
Formerly: ENEE439M.
A a broad introduction to the foundations of Machine Learning (ML), as well as hands-on experience in applying ML algorithms to real-world data sets. Topics include various techniques in supervised and unsupervised learning, as well as applications to computer vision, data mining, and speech recognition.