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

ModulesCreditsTAFSSD
9
B
ING-INF/04
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B/C
INF/01 ,ING-INF/06
6
B/C
ING-INF/05

2° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
Final exam
24
E
-
ModulesCreditsTAFSSD
9
B
ING-INF/04
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B/C
INF/01 ,ING-INF/06
6
B/C
ING-INF/05
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Further activities
3
F
-
Between the years: 1°- 2°
Training
3
F
-

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S009003

Credits

6

Coordinator

Franco Fummi

Language

English en

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

The teaching is organized as follows:

Teoria

Credits

4

Period

Primo semestre

Academic staff

Franco Fummi

Laboratorio

Credits

2

Period

Primo semestre

Academic staff

Franco Fummi

Learning outcomes

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.

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

Examination Methods

The exam is composed of two parts: theory and laboratory report.
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.

The final exam consists of a written test containing questions and exercises.
A report of all laboratoty classes must be provided to complete the exam.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Teaching materials e documents