Present a broad view of different network structures playing a role in computer, biological and physical sciences and engineering. Learning new advanced statistical methods for characterizing and predicting the behavior of such complex systems.Class Main Topic(1) Complex architectures: biological networks (immune networks, gene networks, methabolic networks, neural circuitry) and IT (artificial neural networks, internet, financial time series) networks.(2) Nanostructures and molecular assembly: (nanolithography, molecular selfassembly, molecular (DNA) computing).(3) Elements of stochastic processes. Non parametric statistics, Levy flights.(4) Scale-free networks.(5) Non linear time series analysis.(6) Simulation methods of complex random structures.