Electrical Engineering 129

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Title	Neural and Nonlinear Information Processing
Instructor in Charge	Leon O. Chua
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.

Sections Instructor Teaching Effectiveness How worthwhile was this course?

Spring 2009 Chua 5.7 / 7 ± 0.7
5.6 / 7 ± 0.7

Fall 2008 Chua 5.0 / 7 ± 0.7
4.7 / 7 ± 0.7

Spring 2008 Chua 5.4 / 7 ± 0.6
5.3 / 7 ± 0.7

Fall 2007 Chua 5.4 / 7 ± 0.7
4.6 / 7 ± 0.9

Spring 2007 Chua 4.9 / 7 ± 0.6
4.8 / 7 ± 0.8

Fall 2006 Chua 4.3 / 7 ± 0.7
3.9 / 7 ± 1.0

Spring 2006 Chua 6.1 / 7 ± 0.5
6.0 / 7 ± 0.6

Spring 2004 Chua 4.3 / 7 ± 0.6
4.1 / 7 ± 0.7

Spring 2003 Chua 4.1 / 7 ± 0.7
3.9 / 7 ± 0.8

Spring 2002 Chua 4.7 / 7 ± 0.5
4.5 / 7 ± 0.6

Spring 2001 Chua 5.1 / 7 ± 0.7
4.9 / 7 ± 0.8

Spring 2000 Chua 4.4 / 7 ± 0.9
5.0 / 7 ± 1.1

Spring 1999 Chua 5.4 / 7 ± 0.9
5.4 / 7 ± 1.2

Spring 1998 Chua 5.4 / 7 ± 0.6
5.4 / 7 ± 0.6

Spring 1997 Chua 5.8 / 7 ± 0.7
5.8 / 7 ± 0.9

Spring 1996 Chua 5.6 / 7 ± 0.6
4.6 / 7 ± 0.8

Overall Rating Teaching Effectiveness How worthwhile was this course?

Electrical Engineering 129 5.1 / 7 ± 0.0
4.9 / 7 ± 0.1

Hint: You can click on the colored rating bars to see detailed statistics on a particular rating.