The course proposes a study of generalized stochastic models, in a context of description, analysis and retrieval of information from data. The main models studied are associated with the so-called autoregressive and moving average families, stochastic differenced/integrated processes with integer and fractional orders, entropy functions, markovian properties, as well as interactions of processes and mixture models. 


 This course provides an introduction to the principles and practice of computer and network security with a focus on both fundamentals and practical information. Topics include ethics, primary definitions, applied cryptography, networking (e.g., firewalls, VPNs, wireless security), operating systems, malware, and incident handling. The course will also cover application areas, such as data centers, mobile applications, payment systems, and data security.