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Electrical Engineering 129

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TitleNeural and Nonlinear Information Processingtrend
Instructor in ChargeLeon O. Chua
Units3
Prerequisites120 or consent of instructor.
DescriptionPrinciples 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.
Exam FilesAvailable

Sections Instructor Teaching EffectivenessHow worthwhile was this course?
Fall 2007Chua5.4/ 7 ± 0.7
4.6/ 7 ± 0.9
Spring 2007Chua4.9/ 7 ± 0.6
4.8/ 7 ± 0.8
Fall 2006Chua4.3/ 7 ± 0.7
3.9/ 7 ± 1.0
Spring 2006Chua6.1/ 7 ± 0.5
6.0/ 7 ± 0.6
Spring 2004Chua4.3/ 7 ± 0.6
4.1/ 7 ± 0.7
Spring 2003Chua4.1/ 7 ± 0.7
3.9/ 7 ± 0.8
Spring 2002Chua4.7/ 7 ± 0.5
4.5/ 7 ± 0.6
Spring 2001Chua5.1/ 7 ± 0.7
4.9/ 7 ± 0.8
Spring 2000Chua4.4/ 7 ± 0.9
5.0/ 7 ± 1.1
Spring 1999Chua5.4/ 7 ± 0.9
5.4/ 7 ± 1.2
Spring 1998Chua5.4/ 7 ± 0.6
5.4/ 7 ± 0.6
Spring 1997Chua5.8/ 7 ± 0.7
5.8/ 7 ± 0.9
Spring 1996Chua5.6/ 7 ± 0.6
4.6/ 7 ± 0.8

   
Overall Rating Teaching EffectivenessHow worthwhile was this course?
Electrical Engineering 129 5.0/ 7 ± 0.1
4.8/ 7 ± 0.1

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