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

A.A. 2024/2025

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Computer Engineering for intelligent Systems - Enrollment from 2025/2026

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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
6
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/04
12
C
ING-INF/06

2° Year   It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
3 modules among the following
6
C
ING-INF/06
6
C
ING-INF/06 ,MED/37
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
6
C
ING-INF/04 ,MED/50
24
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
3 modules among the following
6
C
ING-INF/06
6
C
ING-INF/06 ,MED/37
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
6
C
ING-INF/04 ,MED/50
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
4 modules among the following:
- 1st year: Advanced visual computing and 3d modeling, Computer vision, Embedded & IoT systems design, Embedded operating systems, Robotics 
- 2nd year: Advanced control systems
6
B
ING-INF/04
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/04
6
B
ING-INF/05
Between the years: 1°- 2°
12
D
-
Between the years: 1°- 2°
Further activities
6
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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Embedded & IoT Systems Design  (2024/2025)

Teaching code

4S009003

Teacher

Franco Fummi

Coordinator

Franco Fummi

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

Semester 1  dal Oct 1, 2024 al Jan 31, 2025.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 1

Learning objectives

The course aims at providing knowledge on the techniques for the automatic design of embedded and IoT systems, starting from their specifications to go through verification, automatic synthesis, and testing. The main embedded and IoT architectures are described, they are based on CPUs, tensor processors, GPGPUs and FPGAs and they are the cyber part of intelligent systems. Different programming techniques are introduced to tackle the different architectures with the goal of designing effective cloud/edge intelligent systems. These competencies are applied to industrial and biomedical intelligent systems following the Industry 4.0 and Healthcare 4.0 philosophies.

Prerequisites and basic notions

No prerequisites.

Program

1: modeling
0 Course introduction: Industry and Healthcare 4.0
1 Embedded & IoT systems modeling
2 SysML for systems modeling

2: software
3 I4.0: software hierarchy
4 HC4.0: software hierarchy
5 IoT and Cloud
6 IoT Middleware
7 Embedded software modeling
8 Embedded AI and TinyML

3: hardware
9 High-level synthesis (HLS) introduction
10 High-level synthesis scheduling&allocation
11 verilog syntax
12 verilog syntax II
13 HDL timing simulation
14 RTL synthesis: verilog

4: platform
15 SystemC-based design
16 SystemC-based design II
17 Platform Based Design - SystemC
18 SystemC TLM
19 Virtual platform simulation & FMI

5: system
20 I4.0-HC4.0: IoT and Industrial IoT
21 I4.0-H4.0: Data Integration Hub
22 I4.0: digital twin
23 HC4.0: digital twin
24 I4.0: MES and Meta-MES

Bibliography

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Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Each theoretical frontal lesson is exemplified with laboratory activities. Both are supported by material on the elearning site. Recordings of all lessons will be available on the Moodle pages during the course.

Learning assessment procedures

The exam consists of two parts: theory and laboratory. The written test contains questions and exercises on the theory. You also need to provide a report of all the laboratory activities 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

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 and healthcare 4.0.

Criteria for the composition of the final grade

The final grade is the sum of the theory exam grade and the laboratory report evaluation.

Exam language

English