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 |
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I sem. | Oct 3, 2016 | Jan 31, 2017 |
II sem. | Mar 1, 2017 | Jun 9, 2017 |
Session | From | To |
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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 19, 2017 | Jul 19, 2017 |
Sessione autunnale Appelli di laurea | Oct 18, 2017 | Oct 18, 2017 |
Sessione invernale Appelli di laurea | Mar 21, 2018 | Mar 21, 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.
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 |
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2° Year activated in the A.Y. 2017/2018
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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2 courses to be chosen among the following
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.
Image and volume data analysis (2016/2017)
Teaching code
4S001409
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Period
I sem. dal Oct 3, 2016 al Jan 31, 2017.
Learning outcomes
The goal of the course is to give the student to the ability to understand and the basic methods to encode and process digital images as well as any kind of spatially referenced data (volumes, surfaces).
Different data structures and algorithms will be presented allowing smart encoding of relevant information, segmentation of the regions of interest from sampled data, characterization of objects geometry, aligning different acquisitions.
At the end of the course, the student will be able to use a variety of Computational Geometry tools and other algorithms in order to solve different problems in different applicative contexts and to have the possibility of continuing his specialization in multimedia with increased autonomy.
Program
Theory
1 Introduction
Spatially referenced data in 2D and 3D, scattered data, gridded data, sensors
2 Data structures
Images and volumes, binary and label data, topology. Scattered data, triangulation and interpolation
Surface and contour representations: curve approximations, splines; point clouds, meshes, meshing algorithms Moving Least Squares, ball pivoting.
3 Segmentation
Classification-based approaches, graph based approaches,
4 Contour/surface based segmentation
Snakes and active surfaces 3D, Level Sets, fast marching algorithm, distance maps and geodesic distances
5 Model based segmentation ,
Model fitting Hough transform, statistical modelling with training data: Point Distribution Models
6 Shape analysis
Moments, binary region descriptors, invariance properties.
Contour based descriptors, local features, signatures, Fourier descriptors, context in local descriptors.
Skeletons and medial lines,
Differential geometry of surfaces, descriptors on meshes
7 Image and texture features
8 Spatial registration
Problem descriptions and approaches. Landmarks based registration,
Intensity based registration
Laboratorio Matlab
Introduzione a Matlab, images, contours, sampling and interpolation, splines
Voxel based segmentation
2D Snake implementation
2D Shape retrieval
Mesh processing, 3D shape retrieval
Examination Methods
Written test (20/30) and evaluation of programming skills (10/30)
To pass the exam, the student must show
- they have understood the principles related to surface and volume Data encoding and processing
- they are able to describe these concepts in a clear and exhaustive way
- they are able to apply the acquired knowledge in different applicative contexts
Written test:
The written test is composed by a few open questions and/or exercises testing the understanding of the different topics of the course.
Laboratory:
The lab exam will consist of a small project applying methods learned in the course to application specific data
Type D and Type F activities
Documents and news
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PIANO DIDATTICO LM-18 LM-32 (octet-stream, it, 17 KB, 21/09/18)
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: 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.
Tutoring faculty members
Graduation
Deadlines and administrative fulfilments
For deadlines, administrative fulfilments and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.
Need to activate a thesis internship
For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.
Final examination regulations
List of thesis proposals
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.