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

4S009016

Coordinator

Tiziano Villa

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

Secondo semestre dal Mar 7, 2022 al Jun 10, 2022.

Learning outcomes

The objective of this class is to develop classroom and laboratory activities which complete by hands-on experience the instructional project of introducing theory and practice of model-based design of cyber-physical systems, as a companion to the theoretical class titled Discrete Event and Hybrid Systems (see the related information). Such systems include discrete heterogeneous and concurrent components at different levels of abstraction, interacting with continuous environments both natural and artificial. This lab introduces the practice of formal methods by describing the existing tools to specify, analyze and synthesize cyber-physical systems. Specifically, the laboratory activity will involve modeling and analysis of systems coming from the Industry 4.0 domain, with a particular focus on robotic systems. At the end the student will be able to demonstrate with a practical project hands-on expertise when using advanced model-based design tools for the specification, analysis and synthesis of cyber-physical systems. This expertise will enable the student to use existing libraries: i) to represent discrete-event and hybrid systems by means of languages, automata, and logics; ii) to analyze their behaviour by formal verification techniques; iii) to synthesize supervisory controllers of plants described by automata with uncontrollable and unobservable events. At the end of the class the student will be able to: i) evaluate autonomously advantages and disadvantages of different choices of specification formalisms, and of algorithms for the analysis and synthesis of discrete-event and hybrid systems; ii) work together with application-domain specialists to choose the formal models suitable for the specification, analysis and control of a given system; iii) carry on independent study of recent literature.

Program

Representation of formal models for systems
-------------------------------------------
Formal models for discrete event systems
Boolean functions and networks
Decision diagrams
Multi-valued and temporal logica
Finite automata and omega-automata

Discrete event systems
----------------------
Modeling of plants and control requirements with finite state automata
Supervisory control
Eclipse Supervisory Control Engineering Toolkit (ESCET)
Compositional Interchange Format (CIF specification language)
Simulation
Automated synthesis of supervisory controllers
Design of graphical user interfaces in SVG

Hybrid Systems
--------------
Hybrid automata and tools for their analysis
Reachability analysis and set representations
Algorithms for hybrid reachability
Complex systems and their analysis
From static analysis to dynamic analysis

Examination Methods

The class consists of three subunits (Formal models for systems,
Discrete event systems, Hybrid systems).
Every student will select a project in one of them
and solve one laboratory exercise in each of them.
The grade will be split as follows: 21/30 project,
3/30 x 3 = 9/30 lab. exercises, total 30/30.

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