Signals and Systems is an introductory course that develops mathematical techniques for modeling continuous and discrete linear systems. Analog and digital signal processing theory is taught simultaneously to emphasize the power of these mathematical abstractions. Classroom lectures are supplemented by computer simulations and Java applets that reinforce significant concepts. Topics covered in this course include basic linear system theory, time domain methods such as convolution, frequency domain methods such as the Fourier transform, the Z-transform, and filter design and implementation. This is a three credit hour lecture course that is a requirement for both electrical and computer engineers.