Cybernetic engineering, or how to learn to design and build drones, robots and master the Internet of things, all those objects of daily use connected to the network and interconnected in the coming years will change our lives. Introduced for the first time in the United States in 1947 by the mathematician Norbert Wierner, the term “cybernetics” indicates a multidisciplinary field of study, able to range from science to engineering. In fact, Cybernetics studies communication and control in human beings and machines. We could say that it is a bit ‘the trait d’union between the two things.

Cybernetic engineering

Cybernetic engineering, where to study

Starting from the academic year 2015-2016, a degree course in Cybernetic Engineering has been established at the University of Palermo, which is headed by the Department of Energy, Information Engineering and Mathematical Models. Two addresses are envisaged: Information Systems and Technologies, more oriented to the Internet of Things; and Meccatronica, which concerns the design of machines and systems for the distribution of goods and services, electromechanical processes and industrial automation.

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Cybernetic engineering

Cybernetic engineering, job opportunities

Robots, drones, the Internet of things, words increasingly familiar in everyday life, whose design and implementation requires trained professionals, up to the challenges of a society in which men and artificial intelligences will interact more and more. The degree course of the University of Palermo is born with this awareness, where cybernetic engineering will be oriented – these are the intentions of the creators of the course – precisely to its most current outlets. The study plan includes theoretical lessons but also practical exercises. The goal is to train professionals who can tackle the challenges of robotics and the progressive “robotization” of society, the diffusion of autonomous vehicles, and the Internet of Things.

Among the subjects of the plan of graduate studies in Cybernetics Engineering appearing next to “traditional” subjects such as mathematics and physics, among other things, industrial robotics, mobile robotics and distributed systems, industrial automation and home automation.