everything.study
ELEC 301

SIGNALS, SYSTEMS, AND LEARNING

Credit Hours: 3 · Undergraduate Upper-Level

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.

Prerequisites & course information

Short Title: SIGNALS, SYSTEMS, AND LEARNING Department: Electrical & Computer Eng. Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): ELEC 241 and ( MATH 354 or MATH 355 or CAAM 334 or CAAM 335 or CMOR 302 or CMOR 303 ) Corequisite: ELEC 303

Sources