CODE 114612 ACADEMIC YEAR 2024/2025 CREDITS 1 cfu anno 1 INGEGNERIA INFORMATICA 8719 (L-8) - IMPERIA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04 LANGUAGE English TEACHING LOCATION IMPERIA SEMESTER 1° Semester MODULES Questo insegnamento è un modulo di: INTRODUCTION TO DIGITAL ENGINEERING TEACHING MATERIALS AULAWEB AIMS AND CONTENT LEARNING OUTCOMES The course provide the students with a foundational understanding of the principles and applications of systems and control engineering, including essential concepts such as system modeling, analysis, and design. AIMS AND LEARNING OUTCOMES The course "Introduction to Systems and Control Engineering" aims to provide students with an introduction to the principles and techniques of systems engineering, focusing on four main areas: industrial automation, autonomous vehicle control, logistics and urban and interurban traffic models, and environmental system models for sustainable development. Educational Objectives: Industrial Automation: Provide knowledge on control and automation systems used in industry to improve the efficiency, productivity, and safety of production processes. Autonomous Vehicle Control: Introduce the concepts and technologies underlying autonomous driving, including sensors, control algorithms, and artificial intelligence. Logistics and Urban and Interurban Traffic Models: Examine optimization models for logistics and traffic, aiming to improve the flow of goods and people while reducing congestion and environmental impact. Environmental System Models for Sustainable Development: Study models that describe environmental systems and their applications to promote sustainable development, in line with UN objectives. Learning Outcomes: Industrial Automation: Knowledge of automatic control systems for industrial applications. Understanding of automation technologies and their implications for productivity and safety. Autonomous Vehicle Control: Knowledge of key technologies and algorithms used in autonomous vehicles. Skills in analyzing and developing control systems for autonomous driving. Logistics and Urban and Interurban Traffic Models: Knowledge of using mathematical models to optimize logistics processes and traffic flow. Ability to develop innovative solutions for traffic and logistics management, reducing environmental impact. Environmental System Models for Sustainable Development: Understanding of environmental models and their application for sustainable resource management. Knowledge of how to use these models to support strategic decision-making in environmental contexts. This course will provide students with an introduction to the necessary tools to tackle complex and multidisciplinary challenges in systems engineering, promoting an integrated and sustainable approach. SYLLABUS/CONTENT Introduction to Systems Engineering Definition and scope of systems engineering Fundamental principles and methodologies Industrial Automation Basics of automation and industrial control Automatic control systems and applications Sensors and actuators Autonomous Vehicle Guidance Introduction to autonomous driving Types of sensors: LiDAR, radar, cameras Control algorithms and artificial intelligence Logistics and Urban and Interurban Traffic Models Principles of logistics and traffic models Logistics optimization and traffic flow Technologies for smart mobility Environmental System Models for Sustainable Development Introduction to environmental systems Models for sustainable resource management Strategies for sustainable development in line with UN goals Assignment of Scientific Paper and Formation of Working Groups RECOMMENDED READING/BIBLIOGRAPHY Throughout the course, instructors will provide a selection of scientific articles and in-depth readings relevant to each topic covered, offering students a unique opportunity to explore the discussed themes in depth during the lessons. TEACHERS AND EXAM BOARD ROBERTO SACILE Ricevimento: Contacts: Prof. Roberto Sacile, PhD c/o DIBRIS – University of Genova Polytechnic School via Opera Pia 13 16145 Genova, Italy Mob. +393281003228 Skype live:roberto.sacile_1 H323 130.251.5.4 http://orcid.org/0000-0003-4086-8747 Scopus Author ID: 56250207700 SILVIA SIRI Ricevimento: It is possible to communicate with the teacher via Teams or via email (silvia.siri@unige.it). CECILIA CATERINA PASQUALE Ricevimento: Students can contact the Lecturer by email ENRICO ZERO Exam Board DAVIDE ANGUITA (President) ANDREA SCIARRONE ROBERTO SACILE (President Substitute) MERIEM GUERAR (Substitute) CECILIA CATERINA PASQUALE (Substitute) SILVIA SIRI (Substitute) ENRICO ZERO (Substitute) LESSONS LESSONS START https://corsi.unige.it/en/corsi/8719/studenti-orario https://easyacademy.unige.it/portalestudenti//index.php?_lang=en Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The exam for the "Introduction to Systems and Control Engineering" course will be centered around the discussion of a scientific paper. Students will work in groups to thoroughly analyze and deepen their understanding of the paper, culminating in a comprehensive report. This process will follow a peer-to-peer approach, encouraging collaborative learning and critical thinking. The final evaluation will consist of two components: an individual interview to assess each student's understanding and insights, and the evaluation of the group report. The final grade will be based on the performance in both the individual interview and the quality of the group report. ASSESSMENT METHODS Interview Exam schedule Data appello Orario Luogo Degree type Note 09/01/2025 09:00 IMPERIA Esame su appuntamento 23/01/2025 09:00 IMPERIA Esame su appuntamento 05/02/2025 14:30 IMPERIA Scritto 05/06/2025 09:00 IMPERIA Esame su appuntamento 26/06/2025 09:00 IMPERIA Esame su appuntamento