M.Sc. and Ph.D. Courses in NNs at King's College London

Mark Plumbley UDAH256 at oak.cc.kcl.ac.uk
Fri Mar 20 07:46:00 EST 1992


Fellow Connectionists,

Please post or forward this announcement about our M.Sc. and Ph.D. courses
to anyone who might be interested.  Please direct any enquiries about the
courses to the postgraduate secretary (address at the end of the notice).

Thanks,

Mark.

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Dr. Mark D. Plumbley                          M.Plumbley at oak.cc.kcl.ac.uk
                                                     Tel: +44 71 873 2241
Centre for Neural Networks                           Fax: +44 71 873 2017
Department of Mathematics/King's College London/Strand/London WC2R 2LS/UK
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		      CENTRE FOR NEURAL NETWORKS
				 and
		      DEPARTMENT OF MATHEMATICS
				   
			King's College London
				Strand
			 London WC2R 2LS, UK
				   
	      M.Sc. AND Ph.D. COURSES IN NEURAL NETWORKS

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	 M.Sc. in INFORMATION PROCESSING and NEURAL NETWORKS
	 ---------------------------------------------------
				   
			  A ONE YEAR COURSE
				   
			       CONTENTS
		       Dynamical Systems Theory
			   Fourier Analysis
			  Biosystems Theory
		       Advanced Neural Networks
			    Control Theory
		  Combinatorial Models of Computing
			   Digital Learning
		      Digital Signal Processing
		   Theory of Information Processing
			    Communications
			     Neurobiology
				   
			     REQUIREMENTS
    First Degree in Physics, Mathematics, Computing or Engineering

NOTE:
For 1992/93 we have 3 SERC quota awards for this course, which must be
allocated by 30th July 1992.

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		      Ph.D. in NEURAL COMPUTING
		      -------------------------

A 3-year Ph.D. programme in NEURAL COMPUTING is offered to applicants
with a First degree in Mathematics, Computing, Physics or Engineering
(others will also be considered). The first year consists of courses
given under the M.Sc. in Information Processing and Neural Networks
(see attached notice). Second and third year research will be
supervised in one of the various programmes in the development and
application of temporal, non-linear and stochastic features of neurons
in visual, auditory and speech processing. There is also work in
higher level category and concept formation and episodic memory
storage. Analysis and simulation are used, both on PC's SUNs and main
frame machines, and there is a programme on the development and use of
adaptive hardware chips in VLSI for pattern and speed processing.

This work is part of the activities of the Centre for Neural Networks
in the School of Physical Sciences and Engineering, which has 47
researchers in Neural Networks. It is one of the main centres of the
subject in the U.K.

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  For further information on either of these courses please contact:
				   
			Postgraduate Secretary
		      Department of Mathematics
			King's College London
			       Strand
			 London WC2R 2LS, UK



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