Complex Adaptive Systems

Understanding complex systems in the world around us: computer simulations, game theory, and statistical methods are used to describe and increase our understanding of complex systems in nature and society (such as gene-regulation networks, the motion of dust particles in turbulent air, or the dynamics of economic markets). However, complex systems occurring in nature are also a source of new ideas: genetic algorithms and genetic programming, for example, are based on evolutionary processes in nature; the construction of artificial life, the designs of autonomous robots and software agents have been successfully based on behaviour observed in biological systems.

Programme

The aim of the programme is to provide a broad and thorough introduction to the theory of complex systems and its applications in the world around us. On completion of the programme, the students will have acquired the analytical, programming and modelling skills required to work successfully under supervision on a research topic from one of the three tracks (adaptive systems, information & evolution, theoretical biology and stochastic processes), or to apply their problem-solving skills in a suitable industry project in collaboration with their teachers. Last but not least, the students will know how to use their skills effectively in new or initially unfamiliar, interdisciplinary environments.

The introductory courses in the first two quarters acquaint the students with the necessary methods and theoretical concepts. These courses are compulsory. They form a "Minor" for students from other Master's programmes who want to read 30 credits in Complex Adaptive Systems. Most students continue in the following quarters to take the courses offered within the programme. In the second year, the students either work on a 60 credit Master's project or take courses for 30 credits and complete a 30 credit Master's project. Please refer also to our information leaflet (available from Chalmers).