The Master's degree in Computer Engineering for Intelligent Systems course offers advanced training in Computer Engineering, particularly suitable for carrying out design, management, and data processing activities in the context of the Industry 4.0/5.0 and Healthcare 4.0/5.0 paradigms. The master's graduate will have the theoretical and practical tools to fully understand the new information and communication technologies needed to design intelligent, robotic, and IIoT (Industrial Internet of Things) systems, personal care, and telemedicine applications. The graduate will be able to integrate industrial systems (robotic manipulators, mobile robots, distributed sensor systems) and healthcare systems (wearable sensors, imaging machines, digital archives), and analyze the data, even massive, generated by them for specific applications. These skills will be achieved through the study of the state of the art in the main methodologies of modeling, design, analysis and evaluation of algorithms and hardware and software systems. A particular emphasis will be placed on topics related to robotics, computer vision, artificial intelligence (machine learning and deep learning), IIoT systems, digital twins of industrial plants, hospitals, and patients. In support of teaching, students can carry out internships and these are in groups active in international research projects or in collaboration with local companies. They can also learn specific entrepreneurial problems from the experience of numerous corporate spin-offs within the Computer Science Park hosted in the spaces of the computer science department to which the course belongs. The student will also be able to test the theoretical knowledge acquired using the equipment of the department's ICE laboratory and other advanced laboratories. Study experiences and internships abroad are possible and encouraged thanks to international mobility programs.
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