DSAIT4315 Performance analysis of networks

Topics: Design and performance evaluation of complex networks such as telecommunication, computer and embedded networks and biological networks

This course applies probability theory and the theory of stochastic processes to the design and performance evaluation of complex networks such as man-made networks as telecommunication, computer, electric and transportation networks as well as biological, brain and social networks. The class will cover main theories for stochastic processes: Poisson processes; discrete and continuous Markov processes. Main applications include queuing theory; random walks; information diffusion & epidemic modelling on 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.

C. De Bacco

Last modified: 2026-02-04

Details

Credits: 5 EC
Period: 0/4/0/0
Contact: Piet Van Mieghem