Университет Шеффилда, MComp, Artificial Intelligence and Computer Science

Year 1: Artificial intelligence techniques; computer architectures; continuous foundations; discovering psychology; discrete foundations; introduction to artificial intelligence; introduction to programming; mind, brain and personal identity; network architectures; object-oriented programming; requirements engineering; systems design and testing. Year 2: abstract data types; adaptive robotics; database technology; Descartes and the empiricists; functional programming; human computer interaction and graphical interfaces; machines and languages; neurons, images and chaos: methods for cognitive science; pattern processing; professional issues; software hut; symbolic reasoning; systems analysis and design; the rationalists; theory of knowledge. Year 3: 3-dimensional computer graphics; adaptive intelligence; applications of information theory; computer games technology; concurrent systems; critical analysis in artificial intelligence; individual research project 1: survey and analysis report; individual research project 2; java e-commerce; machine learning foundations; modelling and simulation of natural systems; natural language processing; network performance analysis; programming language semantics; speech processing; speech technology; text processing; the intelligent web; theory of distributed systems.