Responsible Instructor 

Contact Hours / Week x/x/x/x 
0/0/2/0

Education Period 

Start Education 

Exam Period 

Course Language 

Course Contents 
This course introduces the basic tools/metrics to characterize properties of large networks, methods to analyze the dynamic processes such as epidemic/information spread, percolation and opinion dynamics on networks. These tools are applied to understand the effect of network on the function of a system, for example, (a) to evaluate the robustness of infrastructures such as metro transportation networks against failures; (b) to estimate the epidemics/virus spread on social networks/Internet; (c) to explore how properties of brain networks may predict brain functioning like IQ.

Study Goals 
After this course, students could represent/abstract a complex system such as a brain or a communication system as a complex network, understand the basic methods to analyze properties of networks and dynamic processes on networks, and be able to apply them to realworld complex systems. Students could obtain an overview of the Msc/Phd projects on the frontiers of complex networks.

Education Method 
In total, there will be 7 lectures where lecture 7 is given by a guest lecturer on the applications to e.g. brain networks, economic networks, social networks or manmade infrastructures such as communications networks.

Assessment 
Assessment is based on both homework assignments and close book written exam. The homework requires basic programming (in e.g matlab or C)
