Complex Adaptive Systems University of Gothenburg

Overview

Complex Adaptive Systems from University of Gothenburg is based on a physics perspective and focuses on its general principles, but we also provide courses in information theory, machine learning, computer science and optimization algorithms, ecology, and genetics in addition to adaptive systems and robotics.

Quick Facts:

• Besides traditional lectures on simulation and theory of complex systems, the programme is largely based on numerical calculation and simulation projects and, depending on your elective courses, practical work in the robotics lab. We emphasize problem solving in the form of assignments and smaller projects, where problems are presented that require solutions to be implemented with mathematical software (typically Matlab). One of the mandatory courses (Stochastic Optimization Algorithms) also emphasizes the importance of writing and examining structured program code. In several courses you will work in pairs or small groups. A seminar course spans the entire first year, and functions partly as an introduction, but above all provides training in presentation technology by systematically giving and receiving feedback on presentations. This course also includes an ethics element.
• The content of the programme is closely connected to the research on machine learning, genetics and turbulence, information theory, and adaptive systems and robotics performed at Chalmers University of Technology and the University of Gothenburg. There is also a lively exchange with international research groups and regular guest lectures on current research that is often directly related to the course material.