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Data Engineering and Artificial Intelligence - Compulsory Exams

  • Information Systems and Business Intelligence: This course aims to provide the basics of architecture, design and management of modern information systems both as a tool used for business objectives and as a catalyst for organizational and strategic innovation. The methodological principles of some phases of the life cycle of an information system are also addressed, with reference not only to the technological aspects, but also to those that require attention to the organizational and economic context. The knowledge downstream of the teaching will concern: the design, implementation and management of corporate information systems; the main technologies underlying an Information System; business intelligence; the re-engineering and continuous improvement of business processes; the assessment and benchmarking of Information Systems; the regulatory aspects and procedures for the acquisition of Information Systems.


  • Machine Learning: The aim of this course is to illustrate the main machine learning techniques and the management and development methodologies of a machine learning process, from data preparation to the evaluation of results, and to develop practical skills in the generation, analysis and interpretation of results through practical exercises carried out with commercial and / or open source tools.


  • Big Data Engineering: The purpose of this course is to provide the fundamentals of Big Data systems and Big Data Analytics, with reference to the design of large and complex data systems, and to the processes of modeling, acquisition, sharing, analysis and visualization of the information present in Big Data.During the course, technologies and tools for the management of Big Data will also be presented, providing the student with the necessary knowledge and practical applications for the use of Big Data in the so-called X-Informatics.

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