Data Science

General Objectives: These classes aim at providing the students with a comprehensive understanding of networking principles and current networking technologies at an introductory level. The focus in on the Internet evolution for big data support and the cloud networking with special attention to networking solution for data centers. A preliminary introductory part of the course is defined to equalize the background of potentially heterogeneous classes and to unify networking concepts, terms and technical language. The course also provides a laboratory activity based on the use of a network emulator and a packet sniffer. Specific Objectives: Knowledge and understanding: the student must know the principles of fundamental network protocols used in an IP network. Applying knowledge and understanding: the student must be able to apply the networking principles to realize a functioning emulated network and to analyze the traffic of a real network. Making judgements: the student must be able to critically detect the drawbacks of classical networking solutions when applied in a data center scenario Learning skills: the student must be able to follow advanced course on networking topics