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Constructing a Framework for the Analysis of Complex Geographical Systems

Constructing a Framework for the Analysis of Complex Geographical Systems

This video was recorded at Spring School in Complexity Science, Southampton 2006. These new courses (designed in conjunction with our new MSc Complexity Science) are designed for postgraduate students (perhaps early in their PhD studies or on masters courses) and industrial employees wishing to learn about the principles and challenges of complexity in natural and engineered systems. The courses are designed to addresses the critical challenges currently facing the computational and engineering industries by focusing on the underlying principles of complexity in common with biological systems. Emphasis is placed on two complementary objectives. You will learn how to use advanced techniques to understand the robust, adaptive and self-organising properties of biological and natural systems, and also how to exploit these properties to address the pressing problems presented by the increasing scale and connectivity of today's engineered systems. The course focuses on developing core mathematical modelling and simulation skills, providing a firm knowledge base in relevant biology, and command of established techniques in biologically inspired computing.

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