A study of computation methods by artificial and biological neural networks and their applications. Topics include basic definitions and geometrical concepts; learning laws; associative networks; biological and artificial network architectures; applications to brain theory and artificial intelligence. Prereq: Three semesters of calculus and fluency in programming. Same as EECE 588.