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Complex Networks I, which is the first part of Complex Networks I + II, is a senior graduate / graduate course. The purpose of this new course is to give the student a broad introduction and a cross-disciplinary understanding of networked systems in fields such diverse as engineering, computer science, physics, biology and social sciences. By working with generic models the student will learn how to use and extend such models as a mean for the qualitative and quantitative explanation and understanding of various networked phenomena and complex processes.
Examples of networks are the Internet, the World Wide Web, power grids, society, gene interactions, and many more. Besides their different roots, their structure, dynamics and function share common universal properties. This cross-disciplinary course covers an introduction into graph theory, the statistical description of network structure, the modeling of network structure and dynamics, and the analysis of network function. Selected examples from system engineering, computer science, physics, system biology and social sciences will be given.
bachelor level in engineering, physics, computer science, biology, chemisty.
Martin Greiner, greiner@imf.au.dk
Lectures and (theoretical) exercises
Material from selected books, material from selected research publications, notes.
At the end of the course the student should be able to:
There will be voluntary homeworks during the quarter and an oral 25min examination after the first quarter. Grades are given according to the 7 grading scale, internal marking
