Course Description
The departments of Mathematics, Engineering and Computer Science teach this EPSRC-supported programme jointly. We cover definitions, properties, potential and restrictions of neural information processing systems and algorithms and the mathematical techniques required for their analysis and design. You can choose from a wide range of modules including: Neural Networks; Advanced Neural Networks; Information Theory in Neural Networks; Statistical Mechanics of Neural Networks; Algorithms and Computation; Computational Learning Theory; Artificial Intelligence; Cryptography and Information Security; Communications Theory; Digital Signal Processing. You must also complete a project in a relevant area after passing the written examinations. This can be carried out and supervised in the department or in appropriate academic or industrial institutions outside the College.

Course Fees
FT Home: £3900(2008) PT Home: £1950 (2008)

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Assessment method
Written examinations in eight lecture modules, plus an oral presentation and assessed report on the research project.

Entry Requirements
Minimum 2:1 first degree or equivalent in any one (or jointly) of mathematics, physics, computing, engineering or other suitable scientific disciplines. A sound background in basic mathematics, in particular a familiarity with standard concepts of calculus, linear algebra, differential equations and elementary probability theory, will be assumed.

Course Venue
Strand Campus
Strand
Westminster
London
WC2R 2LS

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The Information Processing & Neural Networks MSc course in the UK information was verified on 27 Feb 2008.

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