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.
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
Modules | Credits | TAF | SSD |
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Compulsory courses for Embedded & IoT Systems
Compulsory courses for Smart systems &data analytics
2° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
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Compulsory courses for Embedded & IoT Systems
Compulsory courses for Robotics systems
Compulsory courses for Smart systems &data analytics
Modules | Credits | TAF | SSD |
---|
Compulsory courses for Embedded & IoT Systems
Compulsory courses for Smart systems &data analytics
Modules | Credits | TAF | SSD |
---|
Compulsory courses for Embedded & IoT Systems
Compulsory courses for Robotics systems
Compulsory courses for Smart systems &data analytics
Modules | Credits | TAF | SSD |
---|
3 courses to be chosen among the following
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.
Networked embedded & IoT systems (2021/2022)
Teaching code
4S009004
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Period
Secondo semestre dal Mar 7, 2022 al Jun 10, 2022.
Learning outcomes
The course aims to provide the knowledge necessary for the specification, modeling, development and verification of embedded network systems for industrial applications, in particular networked control systems, cyber-physical components, network infrastructures and Internet-of-Things (IoT) applications. At the end of the course the student will have to show the acquisition of the ability to analyze and understand the functioning of the networked embedded and IoT systems and the problems related to their design, implementation, verification, certification and use, with reference to their most important properties: performance, reliability, security and privacy. This knowledge will allow the student to acquire the ability to specify, model, design and verify networked embedded systems in the industrial and IoT fields, identifying the most appropriate components to integrate with each other, with the production machinery and the company information system. At the end of the course the student will be able to apply and deepen these topics independently.
Program
Theory:
- wireless embedded systems and protocols.
- networked control systems.
- protocols for smart manufacturing.
- advanced networking.
Laboratory:
- MQTT and Kafka.
- Multimedia communications and Quality of Service.
- Optimization of an actual industrial infrastructure.
- Programming of networked embedded systems
Bibliography
Examination Methods
Oral exam with 3 questions on theory and laboratory
Optional project:
- max 2 people
- effort: 40 hours
- possible synergy with other courses, stage, thesis
- some topics will be proposed at the end of the program but they can be proposed by students too
- max score: 3
Final score: oral exam score + project score.