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. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

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/05
9
B
ING-INF/05
9
B
ING-INF/04
9
C
ING-IND/13 ,ING-IND/35
Compulsory activities for Embedded & Iot Systems
6
B
ING-INF/05
6
B
ING-INF/05
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
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
6
B/C
ING-INF/05
Final exam
24
E
-
ModulesCreditsTAFSSD
9
B
ING-INF/05
9
B
ING-INF/05
9
B
ING-INF/04
9
C
ING-IND/13 ,ING-IND/35
Compulsory activities for Embedded & Iot Systems
6
B
ING-INF/05
6
B
ING-INF/05
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
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B/C
ING-INF/05
6
B/C
ING-INF/05
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
3 modules among the following
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
ING-INF/01
6
C
INF/01
6
C
ING-IND/16
6
C
INF/01
6
C
INF/01 ,ING-IND/34
6
C
INF/01
6
C
INF/01
6
C
SECS-P/10
Between the years: 1°- 2°
12
D
-
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.

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

Digital design  (2022/2023)

Teaching code

4S009010

Academic staff

Andrea Giachetti, Umberto Castellani

Coordinator

Andrea Giachetti

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

Semester 2 dal Mar 6, 2023 al Jun 16, 2023.

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

This course is aimed at providing the student with the practical and theoretical tools for virtual representation of objects and complex scene, and the analysis and modelling of three-dimensional data. Formal methods are provided for the digital processing of geometric structures, the 3D acquisition pipeline, and the analysis of rigid and non-rigid shapes. Particular emphasis will be devoted for 3D digital content creation from the observation of real scenes. At the end of the course, this knowledge will allow the student to: implement a new system for the generation of virtual environments from the observation of real scenes, in a research context, combining formal methods for the analysis of rigid and non-rigid 3D shapes; implement different versions of 3D acquisition pipeline and analyse geometric properties of acquired shapes; deal with object deformation of non-rigid shapes. In addition, the student must be able to identify the most appropriate 3D modelling method for a given applicative context, including the capability of extending the digital content design system to other disciplines like machine learning and robotics; the student will be independent in continuing the studies in 3D digital design from the observation of the real scenes. The student will then be able to present the results of a digital design project, discuss with professional experts in the field, and provide the capability of adapting to the technical evolution and state of the art in the 3D digital content design.

Prerequisites and basic notions

Fundamentals of geometry, scripting

Program

Acquisition loop
Registration: Iterative Closest Point and its variants,
Elements of differential geometry,
Signal processing on 3D domain: spectral shape analysis,
From rigid world to morphable models,
3D acquisition in practice, 3D meshing
Geometrical design: representations (splines, nurbs, subdivision surfaces), design methods. Practical examples
3D printing: technologies, issues, algorithms software

Bibliography

Vai alla bibliografia
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

Lectures with practical demonstrations, laboratory on modeling, processing and 3D printing

Learning assessment procedures

Evaluation of exercises, final project and oral 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

The student will have to show that he has learned the techniques of modeling and processing of models and of scanning and reproduction and to be able to develop an application project in the field.

Criteria for the composition of the final grade

final project (50%) + oral exam (50%)

Exam language

Inglese o italiano