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 - Spring 2020
Electrical & Computer Engineering Department Site
(Perm Req)
Topics in Signal Processing; Machine Learning
Credits: 3
Grad Meth: Reg, P-F
Prerequisite: ENEE324 or STAT400, Programming skills in Matlab, C+, or Python. Restriction: permission of Electrical & Computer Engineering Department.

Students taking the course as CMSC498M must have completed CMSC330 and CMSC351 with a minimum grade of C-.

A broad introduction to machine learning and statistical pattern recognition. Topics include: Supervised learning (Bayesian learning and classifier, parametric/non-parametric learning, discriminant functions, support vector machines, neural networks, deep learning networks); Unsupervised learning (clustering, dimensionality reduction, autoencoders). The course will also discuss recent applications of machine learning, such as computer vision, data mining, autonomous navigation, and speech recognition.