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Intelligent Systems Engineering (LM-32)

From the surveys conducted, and aimed at evaluating the professional figures required by the world of work, it emerges unequivocally that there is a strong shortage of graduates in technical-scientific disciplines with adequate skills to govern the digital transformation of industrial processes and, more generally, of all work, social and personal processes of interaction between natural persons and IT or computerized systems. In this scenario, artificial intelligence plays an enabling role for understanding the data generated by the transformation process itself, for their dynamic inclusion in this process and, subsequently, for their virtuous use in the governance of computerized systems.

The Master's Degree course in IngIntelligent Systems Engineering aims to respond to this demand for professional figures, focusing attention on systems in which the physical component and the software component integrate to offer functions that effectively respond to the innovation needs of the application context. The design and management of these systems require the integration of IT skills and those relevant to the fields of production and services. To this end, the training activities concern on the one hand statistics and mathematical optimization, artificial intelligence and Big Data analysis, and on the other the architectures of distributed systems, including enabling factors such as cloud computing.ing, 5G technologies and the use of sensors for data acquisition through the measurement of physical parameters of interest. The formation of theingengineering of intelligent systems is further integrated by activities that concern the impact that innovation and digital transformation have on business models and business processes. The course is therefore characterized by interdisciplinarity and transversality and by the inclusion in the training course of topics related to the development of solutions based on artificial intelligence that enhance the role of man in innovation processes. Finally, the training course can be completed with vertical insights into specific areas of application of intelligent systems such as sensors, robotics, bioingengineering, industrial plants, energy systems.

The educational path is divided into a common first year with integrated courses that cover the characterizing aspects of the course of study, including training activities that allow developing sensitivity to issues related to the human factor, and in a second year in which the student can deepen some technical, economic-managerial and application fields. The training course includes a significant activity relating to the final exam, to be carried out preferably in collaboration with a company.

Ingengineer designer ("Architect") of intelligent systems

> This is a highly demanding course which opens up many career opportunities across numerous medical fields.

The master's graduate will be able to design, integrate, implement and manage distributed and complex ICT solutions from a technical point of view, which integrate Internet of Things (IoT), sensors and software components and/or analyze data characterized by heterogeneity, variability, high volume (BigData) with artificial intelligence techniques for the purpose of extracting information useful for decision-making processes for carrying out functions and providing services in industrial, administrative, healthcare, personal care, sustainable development, planning, optimization and intelligent management of energy resources and circular economy contexts.

Skills associated with the function:

At the end of his training course, the student:

 

  • will be able to analyse, design and implement systems in which software components interact with sensors, actuators and other physical components to perform functions and provide services in application contexts that use digital technologies as enabling factors;
  • will be able to design systems capable of acquiring, analyzing and managing a multiplicity of quantitative and qualitative data sources for the performance of functions and the provision of services in application contexts that use digital technologies as enabling factors;
  • will be able to plan and manage information flows in the entire process of collecting, valorising and presenting data in order to support organisational, production and decision-making processes;
  • will be able to interact with experts from various application sectors to define project specifications and/or identify indicators that allow qualitatively and quantitatively to evaluate the performance of distributed and complex ICT systems and infrastructures for data analysis also from the point of view reliability and safety;
  • will be able to use the law fluently, in written and oral formingua inginjured with reference to disciplinary lexicons.

Graduates can find work at:

  • Industries operating in the areas of hardware and software production engaged in digital transformation processes and/or characterized by complex production and organizational processes that require continuous technological updating and the use of advanced analysis technologies for their management;
  • Service and consultancy companies operating in areas related to digital transformation;
  • Public administration for the provision of services based on IoT technologies;
  • Companies and organizations that use digital technologies as enabling factors for the provision of services in the healthcare, personal care, sustainable development, intelligent management of resources and energy systems, circular economy.

Governing bodies

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