Simulation of Complex Systems

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The students learn three different simulation methods that are commonly used to model and understand complex systems. The topics covered are agent based modeling, network theory and cellular automata. The example simulations discussed in class range from social systems to physical systems, with many examples from biology.

A large part of the course consists of projects where the students work in small groups to implement a small scale simulations. The topics addressed in the project are chosen by the students themselves. An example of an assignment used on the topic of network theory dealt with understanding the core behind Google's ranking of webpages.

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Erik Edlund

Erik Edlund is a PhD-student in the Complex Systems group since 2010 and works mainly on developing theory for self-assembling systems. This field aims for a fundamental shift in materials science and fabrication by moving the focus from top-down techniques to a method where constituents are designed such that they spontaneously form desired structures. The group uses a combination of analytically solvable models from statistical physics and Monte Carlo simulations. Erik lectures in the course Simulation of Complex Systems.

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