Course Schedule and Catalog
Course Catalog - 2016-2017
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
Restrictions:
May not be enrolled in one of the following Level(s):
Graduate
Prerequisite(s): ELEC 241
Corequisite: ELEC 303 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