This course will allow students to gain a broad understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using a large range of tools and techniques. Delivered by the Department of Informatics, which has an enviable reputation for research'led teaching and project supervision from leading experts in their field.
Modules include: Agents and multi'agent systems; artificial intelligence; biologically inspired methods; computer vision; pattern recognition; plus optional modules.
Course Additional Entry
An Honours degree (2.1 or above) in a scientific or engineering discipline which provides extensive computer programming experience and a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, linear algebra, differential equations and elementary probability theory; overseas professional or occupational qualifications are assessed on an individual basis.
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