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, 2013 | Jan 31, 2014 |
| II semestre | Mar 3, 2014 | Jun 13, 2014 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria | Feb 3, 2014 | Feb 28, 2014 |
| Sessione estiva | Jun 16, 2014 | Jul 31, 2014 |
| Sessione autunnale | Sep 1, 2014 | Sep 30, 2014 |
| Session | From | To |
|---|---|---|
| Sessione autunnale | Oct 16, 2013 | Oct 16, 2013 |
| Sessione straordinaria | Dec 10, 2013 | Dec 10, 2013 |
| Sessione invernale | Mar 19, 2014 | Mar 19, 2014 |
| Sessione estiva | Jul 14, 2014 | Jul 14, 2014 |
| Period | From | To |
|---|---|---|
| Vacanze Natalizie | Dec 22, 2013 | Jan 6, 2014 |
| Vacanze di Pasqua | Apr 17, 2014 | Apr 22, 2014 |
| Festa del S. Patrono S. Zeno | May 21, 2014 | May 21, 2014 |
| Vacanze Estive | Aug 11, 2014 | Aug 15, 2014 |
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
+39 045 802 7980
bruno.gobbi@univr.it
Ugolini Simone
simone.ugolini@univr.it
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 |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1° Year
| Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2014/2015
| Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2015/2016
| Modules | Credits | TAF | SSD |
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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.
Information recognition and retrieval for bioinformatics (2015/2016)
Teaching code
4S02716
Credits
12
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Learning outcomes
The course is aimed at giving theoretical and applicative fundamentals of Pattern Recognition, a class of methodologies usable to recognize and retrieve information from biological data.
In particular all the fundamental aspects of PR will be presented: data representation, classification, clustering and validation. The main focus will be more on the methodologies rather than on the application programs (already seen in other courses)
The first part of the course will present, from a general perspective, methods, motivations and problems underlying the main techniques employed in Pattern Recognition. The second part, more devoted to applications, will describe practical bioinformatics scenarios where PR tools are applied (gene expression data analysis, protein remote homology detection, image segmentation and so on)
A final part will be devoted to practical implementation, via the MATLAB language, of some of the techniques studied in the previous parts.
Program
- General introduction to Pattern Recognition
- Data representation
- Bayes decision theory
- Generative and discriminative classifiers
- Validation of classification
- Neural Networks
- Hidden Markov Models
- Dissimilarities
- Clustering approaches
- Validation of clustering
- Applications
Examination Methods
Seminar on a topic related to Pattern Recognition and Bioinformatics
Written exam on topics treated during frontal lessons
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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.
Graduation
List of theses and work experience proposals
| Stage | Research area |
|---|---|
| Correlated mutations | Various topics |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.
