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 sem. | Oct 3, 2016 | Jan 31, 2017 |
| II sem. | Mar 1, 2017 | Jun 9, 2017 |
| Session | From | To |
|---|---|---|
| Sessione invernale Appelli d'esame | Feb 1, 2017 | Feb 28, 2017 |
| Sessione estiva Appelli d'esame | Jun 12, 2017 | Jul 31, 2017 |
| Sessione autunnale Appelli d'esame | Sep 1, 2017 | Sep 29, 2017 |
| Session | From | To |
|---|---|---|
| Sessione estiva Appelli di Laurea | Jul 18, 2017 | Jul 18, 2017 |
| Sessione autunnale Appelli di laurea | Nov 22, 2017 | Nov 22, 2017 |
| Sessione invernale Appelli di laurea | Mar 20, 2018 | Mar 20, 2018 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2016 | Nov 1, 2016 |
| Festa dell'Immacolata Concezione | Dec 8, 2016 | Dec 8, 2016 |
| Vacanze di Natale | Dec 23, 2016 | Jan 8, 2017 |
| Vacanze di Pasqua | Apr 14, 2017 | Apr 18, 2017 |
| Anniversario della Liberazione | Apr 25, 2017 | Apr 25, 2017 |
| Festa del Lavoro | May 1, 2017 | May 1, 2017 |
| Festa della Repubblica | Jun 2, 2017 | Jun 2, 2017 |
| Vacanze estive | Aug 8, 2017 | Aug 20, 2017 |
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.
Should you have any doubts or questions, please check the Enrolment FAQs
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 enrolment year.
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year
| Modules | Credits | TAF | SSD |
|---|
3° Year
| 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.
Scientific visualization (2018/2019)
Teaching code
4S02714
Credits
6
Coordinatore
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
The course aims to provide the student with basic information on scientific and information visualization techniques.
Furthermore, it gives the student the tools needed to master 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:
-Use smartly visualization techniques and tools
-Understand the functionality of the graphics pipeline of computers
-Understand the basics of 3D modeling and rendering algorithms
-Design and implement simple graphics and visualization applications
Program
1. Introduction to visualization
- Scientific and information visualization
- Graphics and data visualization
- The scientific visualization process
2. Fundamentals of graphics: Geometric modeling
-The Euclidean space
- Representations of objects
-Mesh, curves and surfaces (outline)
- Solid construction geometry (outline)
- Spatial partitioning (outline)
3. Rendering and lighting
- Introduction to rendering: ray casting
- Physical model: outline of radiometry, BRDF, rendering equation
4. Lighting models
- Phong model
- Types of lights
5. Rasterization pipeline
- Geometric transformations
- Clipping
- Removing hidden surfaces: list-priority, depth-buffer
- Scan conversion
- Shading: Flat, Phong and Gouraud
- The OpenGL pipeline
- Texture mapping
6. Other techniques for scientific visualization
- Isosurfaces
- Direct volume rendering
7. Laboratory (24h)
- Effective plots
- Images and volumes
- Paraview tutorial
Examination Methods
Written test (20/30) and evaluation of graphics programming skills (10/30)
To pass the exam students must demonstrate that:
- to have understood principles and methods of Scientific Visualization
- they have understood the basic algorithms related to modeling, lighting and rasterization pipeline
- they are able to describe these concepts in a clear and exhaustive way
- they are able to apply the acquired knowledge to solve application scenarios described by means of exercises, questions, and projects.
Written test:
The written test is composed of a few open questions and/or exercises testing the understanding of the different topics of the course.
Lab test:
The exam consists of the evaluation of exercises developed during the lab sessions.
For students who cannot attend the lab sessions, it will be assigned a project (typically a Visualization task to be realized with Paraview) to be completed, documented and discussed in an oral presentation.
Details and guidelines on the examination modalities are available in the e-learning area of the course.
Type D and Type F activities
Modules not yet included
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.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
Graduation
List of theses and work experience proposals
| Stage | Research area |
|---|---|
| Correlated mutations | Various topics |
Attendance
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.Please refer to the Crisis Unit's latest updates for the mode of teaching.
