EE4C06 Networking

The course aims to provide a general and basic introduction to the art of networking, necessary to understand any operational network. After this course, students are expected to represent/abstract real-world infrastructural network (e.g. a communication system) as a complex network, understand the basic methods to analyze properties of networks and dynamic processes on networks. Students will also understand why processes on networks and design of networks are so complex. Finally, students may appreciate the fascinatingly rich structure and behavior of networks and may realize that much in the theory of networks still lies open to be discovered.

PART 1: Basics, concepts and computations of networks [4 EC]

1. Basics of networking
   • what is a network? (representation of a graph, basics of graph theory, overview of complex network science)
   • important characterizers of a network (metrics)
   • basic network/graph models
   • examples of real-world networks (airline transportation, the web and Internet, social networks, brain networks, etc.) and applications of network science
     • Concepts of networking
       • routing
       • Quality of Service (QoS)
       • traffic management and scheduling
       • network robustness (security, failure, cascading effects,...)
       • overlay networking and new aspect of networking

PART 2: Applications and examples of man-made networks [1 EC]

Each of the topics (listed below) is taught by a guest lecturer in 1 hour:

1. Electrical networks (smart grids)
2. Networks on Chip (NoC)
3. Optical networks
4. Computer Networks (Internet)
5. Mobile communication networks
6. Sensor networks
7. Radar networks
8. Social networks

Teachers

prof.dr.ir. Piet Van Mieghem (NAS)

Modelling and analysis of complex networks; new Internet-like architectures and algorithms for future communications networks.

Last modified: 2019-12-16