ELEC 301 - SIGNALS, SYSTEMS, AND LEARNING
Long Title: SIGNALS, SYSTEMS, AND LEARNING
Department: Electrical & Computer Eng.
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Must be enrolled in one of the following Level(s):
Prerequisite(s): ELEC 241 AND (MATH 354 OR MATH 355 OR CAAM 334 OR CAAM 335 OR CMOR 302 OR CMOR 303) Corequisite:
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.