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BSc Artificial Intelligence and Cybernetics

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  • Objectives
    Evolutionary computation is where populations of plausible solutions to intractable problems are bred based on Darwinian principles. It is a form of Cybernetic intelligence where interesting properties of the interaction between the environment and artificial agents emerge. Cognitive Systems explores the link between human intelligence, cognition and behaviour and machines in order to replicate human abilities and behaviours in artificial devices, e.g. bots in computer games. A recent graduate from the school is now employed programming AI for Perfect Dark Zero on the X-Box 360 Live.
  • Entry requirements
    There are different entry qualifications for each programme. Some programmes require you to have a certain amount of knowledge in a subject before you begin the degree programme – this is called a ‘subject requirement’. Other programmes do not have any specific subject requirements. All programmes will, however, expect you to have reached a certain standard in your education and will ask you to achieve certain grades in your examinations. Most programmes have a standard offer so that you know in advance what you are likely to need. Please note that even if you have the minimum entry qualifications, you are not necessarily guaranteed a place on the degree programme.
  • Academic Title
    BSc Artificial Intelligence and Cybernetics
  • Course description
    Year 1

    -Cybernetics
    -Computers
    -Programming
    -Electronics
    -Maths

    Year 2

    -AI Concepts
    -Neural Networks
    -Medical Engineering
    -Signals
    -Computer Systems
    -Databases

    Final Year

    -Machine Intelligence
    -Evolutionary Computation
    -Virtual Reality
    -Project
    -Modern Heuristics
    -Digital Multimedia
    -Robotics
    -Image Processing
    -Language

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