Intro. to Network Science

Catalog description

Basics of networks theory is introduced. Different network architectures are studied and analyzed . These include random and scale-free networks. Their properties and evolution are presented. In each component of the course a variety of examples of how these networks can model real processes and systems in various fields (data science, social science, mathematics, physics, environmental science, epidemiology, computer science, biology and chemistry , business analytics) will be analyzed. In particular the application of network science in Physics will be included for example for topics such as aggregation phenomena, lattices, neuro physics, critical phenomena, percolation to name few. Also the application of these physics topics to other fields will be presented. This course can be taken only by students in their third year or above.