81924 - Telecommunications

Learning outcomes

The module aims to provide the tools necessary for understanding the infrastructure of telecommunications systems, which forms the backbone for vertical services dedicated to all human and artificial activities, with the goal of enabling the integrated design of services and the environment. At the end of the module, the student will be able to:

• Define the characteristics of next-generation telecommunications infrastructure;
• Recognize the critical aspects and opportunities provided by the pervasive interconnection of humans and artificial systems;
• Identify the fundamental characteristics of services and devices based on ICT technologies.

Course contents

The course is composed of two modules.

Program for Module 1 (18 hours):

• Introduction to the course; Smart Cities and ICT infrastructure
• Introduction to the Internet of Things
• Telecommunications and the Internet
• Sensors and Actuators
• Requirements of IoT networks
• Network technologies for IoT systems

Program for Module 2 (18 hours):

• Data and Big Data
• GIS (Geographic Information System) Systems
• Concepts of Cloud and Fog Computing
• Blockchain Technology
• Artificial Intelligence and Machine Learning
• IoT Verticals

Readings/Bibliography

Reference text:

• Ammar Rayes, Samer Salam, "Internet of Things From Hype to Reality - The Road to Digitization," 2nd Edition, Springer, 2019

Consultation texts:

• J. F. Kurose, e K. W. Ross "Reti di calcolatori e internet. Un approccio top-down", Settima edizione, Pearson, 2017
• Andrew S. Tanenbaum, e David J. Wetherall, "Reti di calcolatori", Fifth ed. , Pearson, 2011

Teaching methods

The laboratory typically requires students to be present in the classroom for the progressive development of the project but ensures the possibility of remote attendance for those students who choose this mode.

The course is structured with an alternation of ex-cathedra lectures and group laboratory activities, aimed at enhancing both the skills acquired and the students' design capabilities.

Each teaching module includes both targeted reviews by the faculty for individual groups to verify the project's progress and collective reviews to share the results achieved.

Attendance is mandatory, and attendance will be recorded at each lesson through a signature sheet. Only students with attendance exceeding 70% of the course hours will be allowed to take the exam.

Assessment methods

The exam will consist of the presentation and discussion, either in person or remotely, of the work completed by the project groups.

The course also includes intermediate evaluations of the project's progress, both for individual project groups and in collective settings, with the possibility of cultural and project pathway exchanges.

The final evaluation of each student will take into account the results obtained in each teaching module, the quality of the presented project, and their proactivity and participation in the course.

The final project, graded on a scale of thirty, will be evaluated based on the following criteria, each assigned up to a maximum of 6 points:

• Graphic and design quality of the deliverables
• Quality of the service concept
• Effectiveness and feasibility of the proposed solutions
• Consistency with the theoretical aspects covered in the course modules
• Communication of the project results

Teaching tools

The laboratory typically requires students to be present in the classroom for the progressive development of the project but ensures the possibility of remote attendance for those students who choose this mode.

All phases are supervised and supported by the faculty members.

The equipment provided by the Department and the technological support for teaching activities offered by the University are utilized (screens and overhead projectors, video projectors, technologies for remote connections, IT supports, etc.).

Office hours

See the website of Daniela Mazza