For students outside of Denmark: To apply for participation in this course, it is required that you send an email to the course organizer with your information and motivation for joining the course. Do not use the online application. Thank you.
SkillsThe aim is to learn how to rephrase a complex phenomenon into a mathematical equation or computer algorithm. At the conclusion of the course students will be able to implement and analyze simple quantitative models on a computer. Students will learn how to appreciate that the joint dynamics of a many body system often is qualitatively different from the simple sum of its parts.KnowledgeThe student is expected to gain basic knowledge on contemporary research in complex systems. This includes the ability to use fundamental concepts from statistical mechanics, non-linear dynamics, time series analysis, agent based models and self-organizing systems. This includes the concepts of scaling and scale-invariant phenomena, e.g. fractals or scale-free networks. CompetencesHow to describe and analyze non-linear systems and systems with many components in terms of equations and algorithms.Write computer models of systems with many interacting parts, including Monte-Carlo simulations, interfaces, networks, and cellular automata.Implement agent based models to describe self-organized dynamics of structures, for example within network theory and systems that behave similar across a wide range of scales.The course will provide the students with tools from physics that have application in a range of fields within and beyond physics.
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Publication of new courses All planned PhD courses at the PhD School are visible in the course catalogue. Courses are published regularly.