('Edge Computing' module)

The Internet of Things (IoT) produces large amounts of data to be transmitted and processed before they can be exploited, Edge Computing addresses the processing and interpretation of data in proximity to their origin. This approach, through machine learning techniques, increases the autonomy and 'decision-making capacity' of the electronic system at the edge. Consequently, the exploitation of the transmission band, the overall resources required, the response times and performance in general are optimized too. The reference hardware platform is typically represented by network interconnected microcontrollers, sensors and transducers. The course introduces then architectures of these systems, programming of microcontrollers and interfaces, software development tools and the most spread platforms, to apply machine learning techniques.