This is an interdisciplinary course and students with different backgrounds are expected to register for it. The aim is to get acquainted with the basic concepts of network science, including elements of the theory of graphs, dynamics of and on networks, as well as with basic applications from biology, sociology, economics and other fields.
Learning activities and teaching methods
Class sessions include lectures and training to the network visualization software Gephi. There are regular home assignments to deepen the understanding of the basic concepts and methods. Students write a Wikipedia-style essay about a self-chosen topic related to network science. They carry out project work for which they have to collect the data, analyze it and finally present the results in class, where they are discussed. The project is prepared in pairs or individually. The course has an e-learning site with learning material, where instructions, discussions can be performed.