Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
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I semestre | Oct 1, 2024 | Jan 31, 2025 |
II semestre | Mar 3, 2025 | Jun 13, 2025 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year It will be activated in the A.Y. 2025/2026
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
IoT Architectures (2024/2025)
Teaching code
4S010509
Credits
6
Coordinator
Not yet assigned
Language
Italian
Also offered in courses:
- Embedded AI - PARTE I of the course Master's degree in Artificial intelligence
- Networked embedded & IoT systems - IoT Systems of the course Master's degree in Computer Engineering for Robotics and Smart Industry
- Networked embedded & IoT systems - Networked embedded systems of the course Master's degree in Computer Engineering for Robotics and Smart Industry
- Networked embedded & IoT systems - IoT Systems of the course Master's Degree in in Computer Engineering for Intelligent Systems
- Networked embedded & IoT systems - Networked embedded systems of the course Master's Degree in in Computer Engineering for Intelligent Systems
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Courses Single
Authorized
The teaching is organized as follows:
Sistemi IoT
Credits
3
Period
II semestre
Academic staff
Not yet assigned
Sistemi embedded di rete
Credits
3
Period
II semestre
Academic staff
Not yet assigned
Learning objectives
The course focuses on complex IoT systems that present the interaction of embedded components with cloud components through a communication network. The course aims to describe the techniques for the automatic design of such systems, also present in the industrial field, starting from their specification to go through verification, automatic synthesis and testing. The main languages for dealing with this type of project and the most advanced automatic tools for their manipulation are also presented. At the end of the course the students will have to demonstrate that they have the following ability to apply the acquired knowledge: to identify, starting from the specifications, the best architecture for a complex IoT system; model, design and verify complex analog / digital components; develop embedded software and interact with IoT and cloud architectures; partition a functionality between HW and SW with attention to network architecture and operating systems; build a project report highlighting the critical aspects resolved; to be able to use additional languages for the design of IoT systems starting from those studied in the course.
Type D and Type F activities
Training offer being defined
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.
Graduation
Deadlines and administrative fulfilments
For deadlines, administrative fulfilments and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.
Need to activate a thesis internship
For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.
Final examination regulations
List of theses and work experience proposals
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.