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.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
I semestre | Oct 1, 2020 | Jan 29, 2021 |
II semestre | Mar 1, 2021 | Jun 11, 2021 |
Session | From | To |
---|---|---|
Sessione invernale d'esame | Feb 1, 2021 | Feb 26, 2021 |
Sessione estiva d'esame | Jun 14, 2021 | Jul 30, 2021 |
Sessione autunnale d'esame | Sep 1, 2021 | Sep 30, 2021 |
Session | From | To |
---|---|---|
Sessione Estiva | Jul 19, 2021 | Jul 19, 2021 |
Sessione Autunnale | Oct 19, 2021 | Oct 19, 2021 |
Sessione Autunnale Dicembre | Dec 7, 2021 | Dec 7, 2021 |
Sessione Invernale | Mar 17, 2022 | Mar 17, 2022 |
Period | From | To |
---|---|---|
Festa dell'Immacolata | Dec 8, 2020 | Dec 8, 2020 |
Vacanze Natalizie | Dec 24, 2020 | Jan 3, 2021 |
Epifania | Jan 6, 2021 | Jan 6, 2021 |
Vacanze Pasquali | Apr 2, 2021 | Apr 5, 2021 |
Santo Patrono | May 21, 2021 | May 21, 2021 |
Festa della Repubblica | Jun 2, 2021 | Jun 2, 2021 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Academic staff
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 |
---|
Computer Architecture
2° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
---|
3° Year activated in the A.Y. 2022/2023
Modules | Credits | TAF | SSD |
---|
1 module among the following
Modules | Credits | TAF | SSD |
---|
Computer Architecture
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
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1 module among the following
Modules | Credits | TAF | SSD |
---|
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.
Type D and Type F activities
Le attività formative in ambito D o F comprendono gli insegnamenti impartiti presso l'Università di Verona o periodi di stage/tirocinio professionale.
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite.
years | Modules | TAF | Teacher |
---|---|---|---|
3° | Control theory | D |
Riccardo Muradore
(Coordinator)
|
3° | Biomedical Data and Signal Processing | D |
Silvia Francesca Storti
(Coordinator)
|
3° | Matlab-Simulink programming | D |
Bogdan Mihai Maris
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
3° | Introduction to 3D printing | D |
Franco Fummi
(Coordinator)
|
3° | Python programming language | D |
Vittoria Cozza
(Coordinator)
|
3° | HW components design on FPGA | D |
Franco Fummi
(Coordinator)
|
3° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinator)
|
3° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Roberto Giacobazzi
(Coordinator)
|
years | Modules | TAF | Teacher | |
---|---|---|---|---|
1° | Subject requirements: mathematics | D |
Rossana Capuani
|
|
3° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
|
3° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
Computer Graphics (2022/2023)
Teaching code
4S00043
Credits
6
Language
Italian
Also offered in courses:
- Scientific visualization of the course Bachelor's degree in Bioinformatics
- Scientific visualization - Teoria of the course Bachelor's degree in Bioinformatics
- Scientific visualization - Laboratorio of the course Bachelor's degree in Bioinformatics
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Learning objectives
This course aims at providing the student with the tools needed to master the algorithms and computational methods upon which many interactive computer graphics applications are based. The focus is on understanding the theory (geometry, radiometry) and the computational issues (algorithms, programming) that lie behind computer generated images. At the end of the course, the students will be able to: Understand the functionality of the graphics pipeline of modern computers; Understand the basics of 3D modeling and rendering algorithms; Design and implement simple interactive graphics/visualization applications; Describe effectively the technical feature of the applications developed; Use the acquired knowledge as a basis to pursue Visual Computing studies with independence.
Prerequisites and basic notions
Basic information on geometry and linear algebra
Program
1. Introduction
2. Draw with the computer: display, coding images and drawings, raster and vector images, rasterization, color and colorimetry
3. Geometric modeling: Euclidean space, 2D and 3D objects representation, curves, 3D models, constructive solid geometry (outline), spatial partitioning (outline), polygon meshes: encoding, characteristics, attributes, textures, processing algorithms, hierarchical models.
4. Rendering and lighting. Introduction to rendering: ray casting and rasterization, radiometry basics, BRDF, rendering equation, local and global lighting, materials, ray tracing, physically-based rendering, path tracing (outline)
5. Rasterization pipeline: geometric transformations, clipping, removal of hidden surfaces, scan conversion, interpolative shading, OpenGL pipeline, tricks, texture mapping, effects, and shadows
5 Animation. Keyframe animation, linear blending, skinning
6. Scientific visualization, principles, design, techniques for visualizing volumes
7. Laboratory (24h) Modeling of objects in Blender. Collections and hierarchies. Scripting. Animation. Materials, textures, and UV-mapping. Scientific visualization: ParaView.
Bibliography
Didactic methods
Lectures and guided exercises in the laboratory
Learning assessment procedures
The verification of the profit takes place through a written test consisting of 4 open questions on the parts of the program and evaluation of the laboratory activities made through the delivery and correction of homework or with a replacement project.
Evaluation criteria
To pass the exam, the student must demonstrate -To have understood the basic concepts of creating synthetic images, Euclidean geometry, 3D object modeling and 3D rendering -To have understood the operation of the rasterization graphics pipeline -To know the principles and some techniques of scientific visualization - To be able to describe the aforementioned concepts in a clear and exhaustive way - To know how to apply the knowledge acquired by solving exercises or developing application projects
Criteria for the composition of the final grade
The grade will consist of 4/5 from the written evaluation and 1/5 from the evaluation of the homework or the replacement project
Exam language
Italiano
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Graduation
List of thesis proposals
theses proposals | Research area |
---|---|
Analisi e percezione dei segnali biometrici per l'interazione con robot | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |
Integrazione del simulatore del robot Nao con Oculus Rift | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |
Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games |
Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) |
BS or MS theses in automated reasoning | Computing Methodologies - ARTIFICIAL INTELLIGENCE |
Domain Adaptation | Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION |
Domain Adaptation | Computing methodologies - Machine learning |
Dati geografici | Information Systems - INFORMATION SYSTEMS APPLICATIONS |
Analisi e percezione dei segnali biometrici per l'interazione con robot | Robotics - Robotics |
Integrazione del simulatore del robot Nao con Oculus Rift | Robotics - Robotics |
BS or MS theses in automated reasoning | Theory of computation - Logic |
BS or MS theses in automated reasoning | Theory of computation - Semantics and reasoning |
Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata | Various topics |
Proposte di Tesi/Stage/Progetto nell'ambito dell'analisi dei dati | Various topics |
Tutoring faculty members
Attendance modes and venues
As stated in the Teaching Regulations, attendance at the course of study is not mandatory.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.