NFYK15018U Topics in Complex Systems

Skills
At the conclusion of the course students will be able to implement simple quantitative models on a computer. The aim is to learn how to rephrase a complex phenomena into a mathematical equation or computer algorithm.

Knowledge

The student is expected to gain basic knowledge on contemporary research in complex systems. This include ability to use fundamental concepts from statistical mechanics, non-linear dynamics, time series analysis, agent based models and self organizing systems.

Competences

How to describe and analyze non-linear systems in terms equations and algorithms.

Write computer models of systems with many interacting parts, including Monte-Carlo simulations, interfaces, networks, and cellular automata.

Implement agents 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.

This course will provide the students with a competent background for further studies within complex system and biophysics, e.g. an M.Sc. project.  The course will provide the students with tools that have application in a range of fields within and beyond physics.