This course is intended to prepare students lacking an appropriate background for graduate study in electrical and computer engineering. Signal and system representations and analysis tools in both continuous time and discrete time are covered. 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. The course does not count toward the Master of Science in Electrical and Computer Engineering degree.
Course prerequisites: 
Two or more semesters of calculus and differential equations.
Course notes: 
Not for graduate credit.
Course instructor: 
Edwards, Jennison

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Course all programs: 
Applied Biomedical Engineering
Electrical and Computer Engineering