EE 302 - Signals and Systems

Prerequisite: EAS 230; co-requisite: M 204. An introductory course that develops mathematical techniques for modeling continuous and discrete linear systems. Topics covered include basic linear system theory, time domain methods such as convolution, frequency domain methods such as the Fourier transform, the z-transform, and the Laplace transform. Classroom lectures are supplemented by computer simulations that reinforce major concepts. 3 credits