PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

PORTALE DELLA DIDATTICA

Elenco notifiche



Intelligent Infrastructures (Global Challenges - Mobility and Transport)

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A.A. 2026/27

Course Language

Inglese

Degree programme(s)

1st degree and Bachelor-level of the Bologna process in Ingegneria Per L'Ambiente E Il Territorio - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Meccanica (Mechanical Engineering) - Torino
1st degree and Bachelor-level of the Bologna process in Design E Comunicazione - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Dell'Autoveicolo (Automotive Engineering) - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Informatica (Computer Engineering) - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Dell'Autoveicolo - Torino
1st degree and Bachelor-level of the Bologna process in Electronic And Communications Engineering (Ingegneria Elettronica E Delle Comunicazioni) - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Dei Materiali - Torino
1st degree and Bachelor-level of the Bologna process in Architettura (Architecture) - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Elettrica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Aerospaziale - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Biomedica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Chimica E Alimentare - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Civile - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Edile - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Energetica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Meccanica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Per L'Ambiente E Il Territorio - Torino
1st degree and Bachelor-level of the Bologna process in Matematica Per L'Ingegneria - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Elettronica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Informatica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Fisica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Del Cinema E Dei Mezzi Di Comunicazione - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Gestionale - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Gestionale - Torino
1st degree and Bachelor-level of the Bologna process in Architettura - Torino
1st degree and Bachelor-level of the Bologna process in Pianificazione Territoriale, Urbanistica E Paesaggistico-Ambientale - Torino
1st degree and Bachelor-level of the Bologna process in Civil And Environmental Engineering - Torino
1st degree and Bachelor-level of the Bologna process in Architettura - Torino
1st degree and Bachelor-level of the Bologna process in Architettura (Architecture) - Torino
1st degree and Bachelor-level of the Bologna process in Civil And Environmental Engineering - Torino
1st degree and Bachelor-level of the Bologna process in Design E Comunicazione - Torino
1st degree and Bachelor-level of the Bologna process in Electronic And Communications Engineering - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Aerospaziale - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Chimica E Alimentare - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Civile - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Dei Materiali - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Del Cinema E Dei Media Digitali - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Dell'Autoveicolo - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Dell'Autoveicolo (Automotive Engineering) - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Edile - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Elettrica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Elettronica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Energetica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Fisica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Gestionale - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Gestionale - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Meccanica - Torino
1st degree and Bachelor-level of the Bologna process in Ingegneria Meccanica (Mechanical Engineering) - Torino
1st degree and Bachelor-level of the Bologna process in Matematica Per L'Ingegneria - Torino
1st degree and Bachelor-level of the Bologna process in Pianificazione Territoriale, Urbanistica E Paesaggistico-Ambientale - Torino

Course structure
Teaching Hours
Lezioni 33
Esercitazioni in aula 27
Lecturers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Tsantilis Lucia   Professore Associato CEAR-03/A 10,5 24 0 0 1
Co-lectures
Espandi

Context
SSD CFU Activities Area context
CEAR-03/A
GSPS-03/A
IINF-01/A
2,3
2,2
1,5
D - A scelta dello studente
D - A scelta dello studente
D - A scelta dello studente
A scelta dello studente
A scelta dello studente
A scelta dello studente
2026/27
The course is part of the “Global Challenges” catalogue, designed to offer a learning experience focused on the analysis of complex, cross-cutting issues across different study programmes. Its aim is to provide students with the tools needed to understand and address the major challenges of the present and the future with awareness, responsibility, and a collaborative mindset. The catalogue promotes a broad and integrated perspective by bringing together STEM disciplines — Science, Technology, Engineering and Mathematics — with the humanities and social sciences. The courses address current, interdisciplinary topics and aim to develop innovative technological solutions through a critical approach, with particular attention to ethics and the social, cultural, and environmental impacts of the proposed solutions. Teaching activities foster active and multidisciplinary learning, encouraging the integration of technical, scientific, social, and humanistic competencies. Through team-based project work, students develop design skills, interdisciplinary dialogue, shared responsibility, and the ability to understand, contextualise, and tackle complex problems. The “Global Challenges” catalogue will be launched each year with a lectio magistralis in English dedicated to a highly relevant theme. Transport infrastructures play a strategic role in the major challenge of sustainable mobility and the protection of human life. The new generation of intelligent transport infrastructures is designed to mitigate and adapt to climate change and to ensure high levels of driving safety, structural safety and resilience to exceptional events. These objectives can be achieved by integrating technological and design solutions, such as real-time infrastructure monitoring, communication between infrastructure and vehicles, and the design of resilient, low-impact infrastructures. The course aims to critically analyse various engineering solutions, identifying their political and social implications. In addressing these political and social implications, particular attention will be paid to European infrastructure policies, European data protection policies, the relationships between infrastructure, the environment and society, and the transformation of work brought about by artificial intelligence.
The course is part of the “Global Challenges” catalogue, designed to offer a learning experience focused on the analysis of complex, cross-cutting issues across different study programmes. Its aim is to provide students with the tools needed to understand and address the major challenges of the present and the future with awareness, responsibility, and a collaborative mindset. The catalogue promotes a broad and integrated perspective by bringing together STEM disciplines — Science, Technology, Engineering and Mathematics — with the humanities and social sciences. The courses address current, interdisciplinary topics and aim to develop innovative technological solutions through a critical approach, with particular attention to ethics and the social, cultural, and environmental impacts of the proposed solutions. Teaching activities foster active and multidisciplinary learning, encouraging the integration of technical, scientific, social, and humanistic competencies. Through team-based project work, students develop design skills, interdisciplinary dialogue, shared responsibility, and the ability to understand, contextualise, and tackle complex problems. The “Global Challenges” catalogue will be launched each year with a lectio magistralis in English dedicated to a highly relevant theme. Transport infrastructures play a strategic role in the major challenge of sustainable mobility and the protection of human life. The new generation of intelligent transport infrastructures is designed to mitigate and adapt to climate change and to ensure high levels of driving safety, structural safety and resilience to exceptional events. These objectives can be achieved by integrating technological and design solutions, such as real-time infrastructure monitoring, communication between infrastructure and vehicles, and the design of resilient, low-impact infrastructures. The course aims to critically analyse various engineering solutions, identifying their political and social implications. In addressing these political and social implications, particular attention will be paid to European infrastructure policies, European data protection policies, the relationships between infrastructure, the environment and society, and the transformation of work brought about by artificial intelligence.
The expected learning outcomes for this course are: • the acquisition of basic knowledge of the technological and design aspects of intelligent transport infrastructure; • an understanding of the main political and social implications of intelligent infrastructure. By the end of the course, students will have developed the ability to apply the knowledge acquired to examine and propose engineering solutions to real-world problems and to critically analyse the impact of such solutions on the existing balance between ‘infrastructure’ and ‘humanity’.
The expected learning outcomes for this course are: • the acquisition of basic knowledge of the technological and design aspects of intelligent transport infrastructure; • an understanding of the main political and social implications of intelligent infrastructure. By the end of the course, students will have developed the ability to apply the knowledge acquired to examine and propose engineering solutions to real-world problems and to critically analyse the impact of such solutions on the existing balance between ‘infrastructure’ and ‘humanity’.
The knowledge and skills acquired in the first-year physics modules of the Engineering degree programmes are prerequisites for this course.
The knowledge and skills acquired in the first-year physics modules of the Engineering degree programmes are prerequisites for this course.
The course foresees an opening lectio magistralis in English - delivered simultaneously for all courses in the Global Challenges catalogue - on a highly topical issue. In the following a list of the course-specific topics. • Introduction to transport infrastructure: overview, current state of the art and key challenges facing existing infrastructure. • Climate change and transport infrastructure: adaptation and mitigation strategies. • Intelligent transport infrastructure to enhance active and passive safety. • Infrastructure management and monitoring based on AI (artificial intelligence) and IoT (Internet of Things). • AI, IoT and modern technologies for the surveillance and monitoring of infrastructure. • 5G network: cellular communication infrastructure applied to M2M (machine-to-machine) and V2X (vehicle-to-everything). • Examples of smart infrastructure: predictive maintenance of infrastructure, railway network management, road network management. • Analogue and digital signals. Analogue-to-digital conversion: sampling and quantisation. • Examples of communication protocols. • Infrastructure policy: logistics and transnational space. • European infrastructure projects. • Infrastructure and the social environment: analysis and discussion of case studies. • Smart infrastructure and data policies. • Human intelligence and machine intelligence: how work is changing.
The course foresees an opening lectio magistralis in English - delivered simultaneously for all courses in the Global Challenges catalogue - on a highly topical issue. In the following a list of the course-specific topics. • Introduction to transport infrastructure: overview, current state of the art and key challenges facing existing infrastructure. • Climate change and transport infrastructure: adaptation and mitigation strategies. • Intelligent transport infrastructure to enhance active and passive safety. • Infrastructure management and monitoring based on AI (artificial intelligence) and IoT (Internet of Things). • AI, IoT and modern technologies for the surveillance and monitoring of infrastructure. • 5G network: cellular communication infrastructure applied to M2M (machine-to-machine) and V2X (vehicle-to-everything). • Examples of smart infrastructure: predictive maintenance of infrastructure, railway network management, road network management. • Analogue and digital signals. Analogue-to-digital conversion: sampling and quantisation. • Examples of communication protocols. • Infrastructure policy: logistics and transnational space. • European infrastructure projects. • Infrastructure and the social environment: analysis and discussion of case studies. • Smart infrastructure and data policies. • Human intelligence and machine intelligence: how work is changing.
The course will consist of 34.5 hours of lectures and 25.5 hours of practical sessions. The 33 hours of lectures will focus on developing a basic understanding of engineering, political and sociological issues related to intelligent transport infrastructures. The hours will be structured as follows. • 3 hours of course introduction. • 15 hours on the design of road, rail and airport infrastructures and to electronics applied to transport infrastructure management. • 15 hours on political and social science topics relevant to intelligent transport infrastructures. The 27 hours of practical sessions will be designed to develop students’ ability to apply the knowledge they have acquired to propose solutions to real-world challenges relating to transport infrastructures. The exercises will be organised into group activities, with groups comprising a maximum of 8 students from different degree programmes. The group work will aim to produce a video presentation of the design concept and will conclude with a workshop to present the projects and a peer assessment session. The 27 hours will be allocated as follows. • 12 hours of group work carried out in the classroom under the supervision of the lecturers. • 6 hours dedicated to a group presentation aimed at demonstrating the progress of the project and receiving preliminary feedback from the lecturers. This presentation will take place before the conclusion of the group work hours and will not be evaluated. • 6 hours of workshops during which project videos will be presented in the classroom, followed by a discussion open to all students focusing on the technical and humanistic aspects covered in the project. This activity will be evaluated. • 3 hours of peer review, during which each student will be asked to critically analyse a project carried out by another group. The project to be assessed will be assigned by the lecturers, and each student will be evaluated on the critical thinking skills. The group being assessed will not be influenced by the judgement of their peers.
The course will consist of 30 hours of lectures and 30 hours of practical sessions. The 30 hours of lectures will focus on developing a basic understanding of engineering, political and sociological issues related to intelligent transport infrastructures. The hours will be structured as follows. • 15 hours on the design of road, rail and airport infrastructures and to electronics applied to transport infrastructure management. • 15 hours on political and social science topics relevant to intelligent transport infrastructures. The 30 hours of practical sessions will be designed to develop students’ ability to apply the knowledge they have acquired to propose solutions to real-world challenges relating to transport infrastructures. The exercises will be organised into group activities, with groups comprising a maximum of 8 students from different degree programmes. The group work will aim to produce a video presentation of the design concept and will conclude with a workshop to present the projects and a peer assessment session. The 27 hours will be allocated as follows. • 15 hours of group work carried out in the classroom under the supervision of the lecturers. • 6 hours dedicated to a group presentation aimed at demonstrating the progress of the project and receiving preliminary feedback from the lecturers. This presentation will take place before the conclusion of the group work hours and will not be evaluated. • 6 hours of workshops during which project videos will be presented in the classroom, followed by a discussion open to all students focusing on the technical and humanistic aspects covered in the project. This activity will be evaluated. • 3 hours of peer review, during which each student will be asked to critically analyse a project carried out by another group. The project to be assessed will be assigned by the lecturers, and each student will be evaluated on the critical thinking skills. The group being assessed will not be influenced by the judgement of their peers.
Course notes; articles from the sector literature; documents made available on the web teaching portal.
Course notes; articles from the sector literature; documents made available on the web teaching portal.
Slides; Dispense; Materiale multimediale ;
Lecture slides; Lecture notes; Multimedia materials;
Modalita di esame: Prova scritta (in aula); Elaborato progettuale in gruppo;
Exam: Written test; Group project;
... Written exam (in class); Group project. The final mark will consist of: • an assessment based on an individual written exam, designed to assess the acquisition of the theoretical knowledge targeted by the course (maximum 16 points); • a group assessment based on the presentation of the project, designed to assess the acquisition of the practical skills targeted by the course (maximum 13 points); • a ‘peer assessment’ activity in which each student will be assessed on the ability to critically analyse another group’s project (maximum 3 points). The maximum mark achievable is 32, corresponding to a grade of 30 cum laude. To pass the exam, students must: • achieve at least a minimum mark in the written exam (minimum 9 points); • achieve at least a minimum mark in the group project assessment (minimum 7 points); • achieve a minimum total score of 18 points. The individual written exam will last one hour and will consist of 16 multiple-choice questions. The questions will cover all the topics discussed during theoretical lessons.
Gli studenti e le studentesse con disabilita o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unita Special Needs, al fine di permettere al/la docente la declinazione piu idonea in riferimento alla specifica tipologia di esame.
Exam: Written test; Group project;
Written exam (in class); Group project. The final mark will consist of: • an assessment based on an individual written exam, designed to assess the acquisition of the theoretical knowledge targeted by the course (maximum 16 points); • a group assessment based on the presentation of the project, designed to assess the acquisition of the practical skills targeted by the course (maximum 13 points); • a ‘peer assessment’ activity in which each student will be assessed on the ability to critically analyse another group’s project (maximum 3 points). The maximum mark achievable is 32, corresponding to a grade of 30 cum laude. To pass the exam, students must: • achieve at least a minimum mark in the written exam (minimum 9 points); • achieve at least a minimum mark in the group project assessment (minimum 7 points); • achieve a minimum total score of 18 points. The individual written exam will last one hour and will consist of 16 multiple-choice questions. The questions will cover all the topics discussed during theoretical lessons. Students who do not consistently engage in course activities and group work may prepare the project independently, but will not have access to the 3 points awarded through peer assessment.
In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.
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