The brain, the immune system and the formation of clouds, are all examples of complex adaptive systems comprising of many interacting components, often non linear and dynamic, leading to multiple levels of collective structures and organization.
One example is fluctuations of share and option prices determining the stability of our economy. Other examples are the dynamics of dust particles in the exhaust of diesel engines, the dynamics of biological or artificial populations, earthquake prediction, and last but not least adaptive learning: the problem of teaching a robot how to respond to unexpected changes in its environment.
Besides traditional lectures on simulation and theory of complex systems, the programme is largely based on numerical calculation and simulation projects and depending on course selection possibly practical work in the robotics lab.
Other Programmes that might interest you
Computer Science – Algorithms, Languages, and Logic
Computer Systems and Networks
Engineering Mathematics and Computational Science
Software Engineering and Technology
Systems, Control and Mechatronics
Entry requirements (academic year 2019/20)
An applicant must either have a Bachelor’s degree in Science/Engineering/Technology/Architecture or be enrolled in his/her last year of studies leading to such a degree.
General entry requirements
Bachelor’s degree with a major in: Engineering Physics, Physics, Electrical Engineering, Mechanical Engineering, Automation and Mechatronics Engineering, Computer Science, Computer Engineering, Mathematics, Chemical Engineering, Chemistry, Bioengineering or the equivalent
Prerequisites: Mathematics (at least 30 cr. including Linear algebra and Mathematical analysis) and Programming
要申请此工作 请将您的详细情况发送到以下邮箱 firstname.lastname@example.org