This specialism focuses on the study of vision, graphics, intelligent behaviour and biomedical image computing.
Modules include: computer vision; short introduction to prolog; advanced computer graphics; individual project. Optional modules include: advanced databases; simulation and modelling; machine learning; medical image computing; robotics; body sensor networks in the internet of things; parallel algorithms; intelligent data and probabilistic inference; advanced statistical machine learning and pattern recognition; dynamical systems and deep learning; pervasive computing; operations research; information and codes; type systems for programming languages; computational neurodynamics; complexity; advanced issues in object oriented programming; knowledge representation; prolog; systems verification; graphics; custom computing; network and web security; advanced computer architecture; introduction to bioinformatics; computational finance; cryptography engineering; software engineering for industry; computing for optimal decisions; independent study option.
Course Additional Entry
2.1 Honours degree in a science or engineering discipline, including computing; all applicants whose 1st language is not English require: GCSE, IGCSE, GCE O'level or equivalent at grade C; or Cambridge certificate of proficiency in English (CPE) at grade C; or IELTS score of 7.0 with a score of 6.5 or better in the written and speaking section; or TOEFL paper minimum score of 610 (test of written English (TWE) of 4.5 or more); or TOEFL computer minimum score of 250 (TWE of 4.5 or more); or TOEFL internet minimum score of 100 overall, including a minimum of 24 in the written section and a minimum of 22 in the speaking section.
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