NFYK15018U Topics in Complex Systems
MSc Programme in Physics
MSc Programme in Physics w. minor subject
The topics that will be covered are: Percolation, Networks, Phase transitions, critical phenomena, Monte Carlo simulations, interfaces, agent-based models, self organization, scale free phenomena, game theory, econophysics and models of social systems.
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.
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.
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.
These requirement are however non-mandatory, and with some effort the course can be followed by other students, in particular students with background in mathematics, bio-informatics, economics or computer sciences.
Students from mathematics, bio-informatics, economics and computer science are also welcome.
Course home page: http://www.complex.nbi.dk/courses/
- 7,5 ECTS
- Type of assessment
- Oral examination, 30 minutesOral exam without preparation time
- Without aids
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Several internal examiners
same as ordinary exam
Criteria for exam assesment
see learning outcome
- Theory exercises