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 |
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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.
Embedded & IoT Systems Design (2022/2023)
Teaching code
4S009003
Credits
6
Language
English
Also offered in courses:
- Embedded AI - PARTE II of the course Master's degree in Artificial intelligence
- IoT Architectures of the course Master's degree in Computer Science and Engineering
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
The teaching is organized as follows:
Industrial IoT and Cyber-Physical Production Systems
Embedded and IoT Systems
Learning objectives
The course aims at providing the following knowledge: techniques for the automatic design of embedded and industrial IoT systems, starting from their specifications to go through verification, automatic synthesis and testing. Main languages to deal with this kind of project and the most advanced automatic tools for their manipulation. This is in particular applied to the design, verification and test of cyber-physical production systems. At the end of the course the student will have to demonstrate that he/she has the following skills to apply the acquired knowledge: identify the best architecture for an embedded and industrial IoT system from the specifications; model, design and verify complex analog / digital devices; develop embedded software and interact with IoT and cloud architectures; partition a functionality between hw, sw with attention to the network and operating systems; build project report highlighting the critical aspects resolved; be able to use additional languages for the design of embedded and industrial IoT systems starting from the ones studied in the course.
Prerequisites and basic notions
No prerequisites
Program
A. Embedded & IoT Systems -> CPS Design:
* Modeling
- Embedded & IoT systems modeling
- SysML for systems modeling
* IoT & SW
- IoT and Cloud
- IoT Middleware
- Embedded software modeling
- Embedded AI software modeling
* IoT & HW
- High-level synthesis (HLS)
- verilog syntax
- HDL timing simulation
- RTL synthesis: verilog
B. IIoT and Cyber-Physical Production Systems:
* Modeling & VP
- SystemC-based design
- SystemC TLM
- Virtual platform modeling: IP-Xact
- Virtual platform design & FMI
* Industry 4.0
- I4.0: IoT and Industrial IoT
- I4.0: software hierarchy
- I4.0: MES
- I4.0: Data collection architecture
- I4.0: digital twin
Bibliography
Didactic methods
Each theoretical frontal lesson is exemplified with laboratory activities. Both are supported by material on the elearning site. Recordings of all lessons are available on the Moodle pages of the A.Y. 21/22.
Learning assessment procedures
The exam is composed of two parts: theory and laboratory report.
Evaluation criteria
To pass the exam, the students must show:
- they have understood the principles of embedded and IoT system architectures;
- they are able to model and simulate a complex embedded and IoT system;
- they are able to design, verify and test a complex digital device;
- they are able to develop embedded software interacting with network and operating system;
- they are able to apply the acquired knowledge to solve application scenarios in the context of Industry 4.0.
Criteria for the composition of the final grade
The final exam consists of a written test containing questions and exercises. The student must also provide a report of all laboratory activities to complete the exam. The final grade is the sum of the theory exam and the evaluation of the laboratory report.
Exam language
English
