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 activities for Embedded & Iot SystemsCompulsory activities for Smart Systems & Data Analytics2° Year activated in the A.Y. 2023/2024
| Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot SystemsCompulsory activities for Robotics SystemsCompulsory activities for Smart Systems & Data Analytics| Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot SystemsCompulsory activities for Smart Systems & Data Analytics| Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot SystemsCompulsory activities for Robotics SystemsCompulsory activities for Smart Systems & Data Analytics| Modules | Credits | TAF | SSD |
|---|
3 modules among the followingLegend | 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 (2023/2024)
Teaching code
4S009004
Credits
6
Language
English
Also offered in courses:
- IoT Architectures of the course Master's degree in Computer Science and Engineering
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Courses Single
Authorized
The teaching is organized as follows:
IoT Systems
Networked embedded systems
Learning objectives
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.
Prerequisites and basic notions
Knowledge of the fundamental concepts of communication networks and of the protocols of the TCP/IP architecture. Programming in C, Python and Java also via command line interface. Ability to use the UNIX shell.
Program
Theory:
- Wireless embedded systems and protocols.
- Networked control systems.
- Network architectures for smart manufacturing.
- Advanced networking.
Laboratory:
- Network analysis tools
- The synchronization problem and Network Time Protocol (NTP)
- MQTT and Kafka
- Multimedia communications and Quality of Service
- Optimization of an actual industrial infrastructure
- Programming of networked embedded systems
Didactic methods
Lectures and laboratory exercises on computers.
Learning assessment procedures
Oral exam in front of the computer with questions on theory and laboratory
Optional development of a project
- individual or in-group
- for those who have already passed the oral exam, obtaining a grade greater than or equal to 25
- effort: 40 hours of work
- to be closed by the end of September
- possible synergies, on request, with other courses, internships, theses
- max score: 3
Evaluation criteria
Knowledge of theoretical notions and demonstration of knowing how to use the various tools covered in laboratory exercises.
Criteria for the composition of the final grade
Oral exam in front of the computer with questions on theory and laboratory: score from 18 to 30.
Optional development of a project:
- individual or in-group
- for those who have already passed the oral exam, obtaining a grade greater than or equal to 25
- effort: 40 hours of work
- to be closed by the end of September
- possible synergies, on request, with other courses, internships, theses
- a maximum of 3 points will be added to the oral exam score.
Exam language
English
