The course specifically aims at training professionals alternative to the traditional engineering ones (electrical, electronic, computer engineering, etc.), capable of analysing and managing various systems, characterised by networks of interacting elements, and to apply information technologies to automation issues in various fields (smart automation, smart factories, industry 4.0, smart homes, etc.).
The course provides the possibility to acquire multidisciplinary knowledge and skills, aimed at understanding basic control theory and at the analysis and operation of mechatronic and, in general, cyber physic systems, representing the bases for the development of modern production, distribution and supply of goods and services.
In the operation of these systems, cybernetic engineers must be able to plan the objectives to achieve, to proceed to the mathematical formulation of a control problem considering the above mentioned objectives, to the solution of the problem also using the available software tools and, finally, to the verification of the obtained performance, through simulation techniques and, where possible, through the practical implementation of a prototype of the whole system.
Together with these skills, the course aims at providing students the specific engineering knowledge and skills, needed to enable them to study and make interact among them systems with a different physical (real and/or virtual) nature.
To achieve these objectives, the course provides the typical knowledge and methodological skills of information engineering, with a strongly multidisciplinary orientation.
The educational programme is divided in four subjects’ groups:
- The first group consist of the basic subjects of the degree class in Information Engineering (mathematics, physics);
- The second group is related to engineering skills, in the fields of electrotechnics, electronics, electric and electronic measurements, information and telecommunication engineering, economic-management engineering;
- The third subjects’ group is related to the typical Automation methodologies, both theoretical (automatic control) and applicative (industrial robotics and autonomous vehicles) ones.
- The fourth group is related to the specific traits of cybernetic engineering, with reference to the various aspects of mechatronic and cyber physic systems, characterised by the ability to process, communicate and interact with virtual environments and real systems.
In particular, the course teachings related to mechanics, machines, electric converters and activators, industrial automation and domotics, programming, machine learning, cloud technologies, internet networks, numerical methods and big data.
More specifically, class specific teachings are divided in optional groups, in order to enable students to deeply investigate issues related to real systems automation and mechatronics and issues related to information technologies and to the interaction among real systems and virtual environments.
Thanks to the articulated educational programme, students will be able to customize their training, acquiring specific knowledge and skills enabling them to face the problems relating to the management and control of mechatronic systems (with particular reference to the automation systems of machines, processes and systems), which integrate IT components, measurement equipment, actuators and data transmission and processing systems, with centralized and distributed supervisory and control logics and architectures, as well as to apply modern information technologies to the aforementioned systems (internet of things, virtualization, big data), in order to automate processes and add intelligence in the smart home, smart industry, smart city, etc., through the use of distributed cyber-physical systems, capable of processing information, communicating, deciding and acting in the real and virtual world.
Graduates in Cybernetic Engineering will therefore possess adequate knowledge to continue with post-graduate studies (master's degree, master's degree), as well as to fit immediately in the labour market, being able to carry out their activities as freelancers and in manufacturing or service companies and public administrations, in various production and services sectors(such as, for example, autonomous vehicles, telecommunications, sensor networks and internet networks, distributed monitoring and control systems, production systems automation, distribution and supply of goods and services, assisted technology systems, robotic systems).