Electrical Engineering 129

Title	Neural and Nonlinear Information Processing
Units	3
Prerequisites	120 or consent of instructor.
Description	Principles of massively parallel real-time computation, optimization, and information processing via nonlinear dynamics and analog VLSI neural networks, applications selected from image processing, pattern recognition, feature extraction, motion detection, data compression, secure communication, bionic eye, auto waves, and Turing patterns.
Course Guide	Course Guide

Sections	Instructor	Teaching Effectiveness	How worthwhile was this course?
Spring 2010	Leon O. Chua	5.2 / 7	5.0 / 7
Fall 2009	Leon O. Chua	5.5 / 7	5.3 / 7
Spring 2009	Leon O. Chua	5.7 / 7	5.6 / 7
Fall 2008	Leon O. Chua	5.0 / 7	4.7 / 7
Fall 2008	Fall 2008	Leon O. Chua	5.0 / 7	4.7 / 7
Spring 2008	Fall 2008	Leon O. Chua	5.4 / 7	5.3 / 7
Fall 2007	Leon O. Chua	5.4 / 7	4.6 / 7
Spring 2007	Leon O. Chua	4.9 / 7	4.8 / 7
Fall 2006	Leon O. Chua	4.3 / 7	3.9 / 7
Spring 2006	Leon O. Chua	6.1 / 7	6.0 / 7
Spring 2004	Leon O. Chua	4.3 / 7	4.1 / 7
Spring 2003	Leon O. Chua	4.1 / 7	3.9 / 7
Spring 2002	Leon O. Chua	4.7 / 7	4.5 / 7
Spring 2001	Leon O. Chua	5.1 / 7	4.9 / 7
Spring 2000	Leon O. Chua	4.4 / 7	5.0 / 7
Spring 1999	Leon O. Chua	5.4 / 7	5.4 / 7
Spring 1998	Leon O. Chua	5.4 / 7	5.4 / 7
Spring 1997	Leon O. Chua	5.8 / 7	5.8 / 7
Spring 1996	Leon O. Chua	5.6 / 7	4.6 / 7
Overall Rating		Teaching Effectiveness	How worthwhile was this course?
		5.1 / 7	4.9 / 7