Course Schedule and Catalog

Long Title: SIGNALS AND SYSTEMS

Department: Electrical & Computer Eng.

Grade Mode: Standard Letter

Course Type: Lecture

Credit Hours: 3

Prerequisite(s): ELEC 241

Description: Analytical framework for analyzing signals and systems. Time and frequency domain analysis of continuous and discrete time signals and systems, convolution, and the Laplace and Z transforms. Introduction to algorithms for machine learning on signals, including clustering, regression, and classification. Instructor Permission Required. Recommended Prerequisite(s): CAAM 335 or MATH 355