|Offered:||Fall, Every Year|
|Days Per Week Offered:||Two.|
|Syllabus:||No Syllabus Avaliable|
|Keywords:||Statistics of networks, multiplex networks, interdependent networks, random walks, Levy flights, chaos, fractals.|
|Description:||Nature is complex. Biological, social, economical, technological and information systems are all composed of many interacting agents giving rise to macroscopic complex features. Complexity science is the novel interdisciplinary research field devoted to the understanding of the roots of complex phenomenology observable in nature, and to developing a common theoretical framework able to explain the astonishing similarity between complex real systems of so different origin.
This course aims at providing an introduction to complex systems and networks. The course will touch several topics of traditional and current research in complexity science. Students will learn mathematical and statistical concepts of the science of complexity, and, by being exposed to a great deal of real examples, they will learn how to measure and characterize complex features in natural systems. These notions and analytic tools are increasingly in demand to approach complex problems in many different disciplines including biology, social science, informatics, neuroscience, and economics.
|Books:||There is no textbook. The course is based on reading of publications.|
|Formal Computing Lab:||No|
|Exams:||Class presentation, discussion, and a final project.|