This course will provide students with foundational knowledge in signals and systems essential for graduate study in electrical and computer engineering, and other related disciplines. Signal and system representations and analysis tools in both continuous time and discrete time are studied. Linear time-invariant systems are defined and analyzed. The Fourier transform, the Laplace transform, and the z-transform are treated along with the sampling theorem. Finally, fundamental concepts in probability, statistics, and random processes are considered. Prerequisite(s): Two or more semesters of calculus and differential equations. Familiarity with computer programming is beneficial.
Signals and Systems
01/22/2024 - 05/07/2024