This course provides academic credit for independent studies under the direction of a faculty member. The scope and direction of the studies are determined by the student (or small group of students) in consultation with the course instructor.

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Basic theory of adaptive filter design and implementation. Steepest decent, LMS algorithms, nonlinear adaptive filters, and neural networks. Analysis of performance and applications.

An introduction to electric circuit elements and electronic devices and a study of circuits containing such devices.