TU Delft
Year
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NEDERLANDSENGLISH
Organization
2014/2015 Electrical Engineering, Mathematics and Computer Science Master Electrical Engineering
ET4389
Complex Networks from Nature to Man-made Networks
ECTS: 4
Responsible Instructor
Name E-mail
H. Wang    H.Wang@tudelft.nl
Contact Hours / Week x/x/x/x
0/0/2/0
Education Period
3
Start Education
3
Exam Period
none
Course Language
English
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 real-world 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 man-made 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)