University of Birmingham School of Computer Science
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MODULE DESCRIPTION, 2011/12

06-20416
Neural Computation

This School of Computer Science Module Description is a strict subset of the Syllabus Page, which gives more information.

Module Title Neural Computation
School/Department Computer Science
Module Code 06-20416
Descriptor COMP/06-20416/LH
Member of Staff Dr J A Bullinaria
Level H
Credits 10
Semester 1
Pre-requisites None
Co-requisites None
Restrictions May not be taken by anyone who has taken or is taking 06-12412 Introduction to Neural Computation.
Contact hours 24
Delivery 2 hrs/week of lectures
Description This module introduces the basic concepts and techniques of neural computation, and its relation to automated learning in computing machines more generally. It covers the main types of formal neuron and their relation to neurobiology, showing how to construct large neural networks and study their learning and generalization abilities in the context of practical applications.
Outcomes
On successful completion of this module, the student should be able to: Assessed by:
understand the relationship between real brains and simple artificial neural network models; Examination
describe and explain some of the principal architectures and learning algorithms of neural computation; Examination
explain the learning and generalisation aspects of neural computation; Examination
demonstrate an understanding of the benefits and limitations of neural-based learning techniques in context of other state-of-the-art methods of automated learning. Examination
Assessment Sessional: 1.5 hr examination (100%)
Supplementary (where allowed): As the normal assessment.
Texts S Haykin, Neural Networks: A Comprehensive Foundation (Second Edition), Prentice Hall, 1999.
C M Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 1995.
R Callan, The Essence of Neural Networks, Prentice Hall Europe, 1999.
K Gurney, An Introduction to Neural Networks, Routledge, 1997.
L Fausett, Fundamentals of Neural Networks, Prentice Hall, 1994.
R Beale & T Jackson, Introduction to Neural Networks, IOP Publishing, 1990.
J Hertz, A Krogh & R G Palmer, An Introduction to the Theory of Neural Computation, Addison Wesley, 1991.
F M Ham & I Kostanic, Principles of Neurocomputing for Science and Engineering, McGraw Hill, 2001.