MSc in Computational Intelligence

[John Shawe-Taylor]

               MSc in COMPUTATIONAL INTELLIGENCE 

               at the Computer Science Department
              Royal Holloway, University of London
        
  We offer a new twelve-month MSc in Computational Intelligence
  covering a wide range of subjects:
        
                Computational Learning 
                Statistical Learning Theory
                Intelligent Decision Making
                Neural Computing
                Inference Systems
                Probabilistic Reasoning
                Constraint Networks
                Simulated Annealing
                Neurochips and VLSI
                Equational Reasoning
                Computer Vision
                Concurrent Programming
                Object-Oriented Programming

  The first part of the course involves taking a selection of the
  listed courses including some prescribed core courses. The second
  part of the course comprises a project focussing on one of the areas
  covered in the courses and usually involving some implementation. 
        
  Royal Holloway is one of the largest colleges of the University of 
  London and is located on a beautiful wooded campus half an hour from 
  central London by train and close to Heathrow airport.

  The Computational Intelligence group at Royal Holloway includes
  the following staff:
    Alex Gammerman, with interests in Bayesian Belief Networks
    John Shawe-Taylor, with interests in Computational Learning 
             Theory and Coordinator of the EPSRIT NeuroCOLT Project 
    Vladimir Vovk, expert in applications of game theory to learning
    Vladimir Vapnik (part time), probably no introduction necessary,
    and several other permanent members of staff.

        For further information email: 
  
        cims at dcs.rhbnc.ac.uk 

        or write to:
        
        Course Director, MSc in Computational Intelligence
        Computer Science Department
        Royal Holloway, University of London
        EGHAM, Surrey, TW20 0EX

        Tel:  +44 (0)1784 333421
        Fax:  +44 (0)1784 443420


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