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, including machine learning techniques deployment.
At the end of the course, the student will know the fundamental elements of edge computing, will be able to develop applications on microcontroller, manage peripherals, timer, analog-digital conversion, communication protocols, use and program sensor cards, embedded real-time operating systems. At the end of the course, the student will discuss and develop a project, using and applying in practice the concepts and exercises addressed in the teaching.
Lectures, classroom exercises with the aid of slides, computers, microcontroller boards, electronic components and sensors, development of projects and laboratory exercises, discussion and implementation of complex didactic projects.
Fundamentals of Edge Computing
Microcontrollers and applications
IoT and Edge Computing for Architects, 2nd ed. di Perry Lea, ed. Packt Publishing
Mastering STM32, 2nd ed. di C. Noviello, https://www.carminenoviello.com/mastering-stm32/
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd ed. di A. Géron, Ed. O’Reilly
https://github.com/ageron/handson-ml2
Ricevimento: Reception: appointment, agreed by email or telephone
LUCIO MARCENARO (President)
FRANCESCO BELLOTTI (President Substitute)
MARCO RAGGIO (President Substitute)
https://corsi.unige.it/corsi/8732/studenti-orario
Exam consists in developing of an application project to be agreed with the teacher and oral discussion. In the commitment required for the project, specific needs for working students will be taken into account. Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.
During the oral exam the student, on the basis of the project developed, will have to show an understanding of the topics covered in the course, discuss the design choices, with the aid of the computer and electronic cards used in class, analyze the results obtained.
