CODE 106802 ACADEMIC YEAR 2023/2024 CREDITS 5 cfu anno 2 INGEGNERIA ELETTRONICA 8732 (LM-29) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/01 LANGUAGE Italian (English on demand) TEACHING LOCATION GENOVA SEMESTER 2° Semester MODULES Questo insegnamento è un modulo di: EDGE COMPUTING & PERVASIVE ELECTRONICS TEACHING MATERIALS AULAWEB OVERVIEW 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. AIMS AND CONTENT LEARNING OUTCOMES Knowledge about Advanced microcontroller programming, analog-digital conversion, communication protocols, the use of dedicated cards (e.g. MEMS), embedded operating systems. AIMS AND LEARNING OUTCOMES 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. TEACHING METHODS 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. SYLLABUS/CONTENT Fundamentals of Edge Computing Edge computing architectures and applications Platforms for the implementation of systems based on the Edge computing paradigm, Software / hardware development environments for microcontrollers, interfaces and sensors Machine learning applications Microcontrollers and applications Basic functions (GPIO, Interrupt, DMA) Communication (UART/USART, I2C, SPI) Clock tree Timers ADC/DAC FreeRTOS Memory management Multitasking Scheduling Code Software timers Interrupt Synchronization (semafori, mutex, eventi) Machine learning/IoT applications RECOMMENDED READING/BIBLIOGRAPHY 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 TEACHERS AND EXAM BOARD MARCO RAGGIO Ricevimento: Reception: appointment, agreed by email or telephone Exam Board LUCIO MARCENARO (President) FRANCESCO BELLOTTI (President Substitute) MARCO RAGGIO (President Substitute) LESSONS LESSONS START https://corsi.unige.it/corsi/8732/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION 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. ASSESSMENT METHODS 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. Exam schedule Data appello Orario Luogo Degree type Note 03/01/2024 15:00 GENOVA Orale 17/01/2024 15:00 GENOVA Orale 14/02/2024 15:00 GENOVA Orale 12/06/2024 15:00 GENOVA Orale 26/06/2024 15:00 GENOVA Orale 10/07/2024 15:00 GENOVA Orale 24/07/2024 15:00 GENOVA Orale 14/08/2024 15:00 GENOVA Orale 28/08/2024 15:00 GENOVA Orale Agenda 2030 - Sustainable Development Goals Good health and well being Sustainable cities and communities