1Able to classify signals (e.g., periodic, even) and systems (e.g., causal, linear) and an understanding of the difference between discrete and continuous time signals and systems.

2Able to determine the impulse response of a differential or difference equation.

3Able to determine the response of linear systems to any input signal by convolution in the time domain.

4Understand the definitions and basic properties (e.g., time-shift, modulation, Parseval's Theorem) of Fourier series, Fourier transforms, bilateral Laplace transforms, Z transforms, and discrete time Fourier transforms and an ability to compute the transforms and inverse transforms of basic examples using methods such as partial fractions expansions.

5Able to determine the response of linear systems to any input signal by transformation to the frequency domain, multiplication, and inverse transformation to the time domain, an ability to apply the Sampling theorem, reconstruction, aliasing, and Nyquist's theorem to represent continuous-time signal in discrete time so that they can be processed by digital computers.