University of Sussex
Evolutionary and Adaptive Systems
A 1st- or upper 2nd-Class undergraduate Honours degree. Applicants typically have a background in a scientific or technical subject or other disciplines requiring either numeracy or computer literacy. Students from other backgrounds who can demonstrate numeracy or computer literacy will also be considered.
Full-time courses in the autumn term: Artificial life; intelligence in animals and machines; mathematics and computational methods for complex systems; object-oriented programming (students with a high level of programming experience may take advanced software engineering). Spring term: adaptive systems; neural networks; you also take 2 options from: Computational neuroscience; generative creativity; image processing; machine learning; neuroscience of consciousness; sensory and motor functions of the nervous system. Summer term: You undertake a dissertation project under the supervision of a member of faculty, which is usually based on a programming project. This gives you the opportunity to develop further what you have learnt in the context of a piece of research. Part-time courses year 1: In each of the autumn and spring terms you take 2 modules. In the summer term you undertake work on the dissertation. Year 2: In each of the autumn and spring terms you take 2 modules. In the spring and summer terms you complete work on the dissertation.
You are assessed by coursework, unseen examinations, essays, programming projects and a 12,000-word dissertation.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||October 2016||-||12 months|
|MSc||Part-time||October 2016||-||24 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Sussex House||Brighton||BN1 9RH||South East|
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