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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

For the year 2021/2022 No calendar yet available

Exam calendar

Exam dates and rounds are managed by the relevant Medicine 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.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

A B C D E F G L M N P R S T V Z

Aleotti Renata

renata.aleotti@apss.tn.it 0461-364187 364174 o 0464 582475

Amaddeo Francesco

francesco.amaddeo@univr.it 045 8124930

Barbui Corrado

corrado.barbui@univr.it +39 0458126418

Bellani Marcella

marcella.bellani@univr.it 045 8126691

Cazzoletti Lucia

lucia.cazzoletti@univr.it 045 8027656

Chiesa Silvia

silvia.chiesa@apss.tn.it

Dal Prà Ilaria Pierpaola

ilaria.dalpra@univr.it +39 045 802 7161

Girelli Massimo

massimo.girelli@univr.it +39 0458027106

Gotte Giovanni

giovanni.gotte@univr.it 0458027694

Lasalvia Antonio

antonio.lasalvia@univr.it 045 8283901

Latterini Enrica

enrica.latterini@apss.tn.it

Laudanna Carlo

carlo.laudanna@univr.it 045-8027689

Meyer Anja

anja.meyer@univr.it

Pertile Riccardo

riccardo.pertile@apss.tn.it 0461 904694

Ruggeri Mirella

mirella.ruggeri@univr.it 0458124953

Salvati Marco

marco.salvati@univr.it 045 8028090

Tam Enrico

enrico.tam@univr.it +39 045 8425149

Tamburin Stefano

stefano.tamburin@univr.it +39 0458124285 (segreteria)

Tosato Sarah

sarah.tosato@univr.it 045 8124441

Trabetti Elisabetta

elisabetta.trabetti@univr.it 045/8027209

Zamboni Giulia

giulia.zamboni@univr.it 0458124301

Zancanaro Carlo

carlo.zancanaro@univr.it 045 802 7157 (Medicina) - 8425115 (Scienze Motorie)

Zoccante Leonardo

leonardo.zoccante@aovr.veneto.it 045 812 4773

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.

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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S000206

Credits

8

The teaching is organized as follows:

Informatica applicata

Credits

2

Period

2 SEMESTRE PROFESSIONI SANITARIE

Academic staff

Riccardo Pertile

Statistica medica

Credits

2

Period

2 SEMESTRE PROFESSIONI SANITARIE

Academic staff

Lucia Cazzoletti

Metodologia della ricerca applicata alla psichiatria

Credits

2

Period

2 SEMESTRE PROFESSIONI SANITARIE

Academic staff

Francesco Amaddeo

Metodologia della ricerca epidemiologica

Credits

2

Period

2 SEMESTRE PROFESSIONI SANITARIE

Academic staff

Not yet assigned

Learning objectives

The main objective of the course is to provide the basic knowledge for the use of the main operating systems and their applications and to acquire the fundamental notions and the statistical methodology useful for identifying, understanding and interpreting biomedical phenomena and for the statistical analysis of data at order to plan and carry out an epidemiological study. APPLIED INFORMATICS MODULE Training objectives: Creation and management of a database through the Excel program with the aim of identifying the statistical analyzes most suited to the type of variables and the field of study. Use of indicators and tools for descriptive and bivariate statistical analysis with Excel. Basic epidemiology knowledge. MODULE METHODOLOGY OF RESEARCH APPLIED TO PSYCHIATRY Training objectives: The objectives of the course are to provide students with the tools to understand: 1) what is research in the social-health field; 2) what types of research can be done in psychiatry; 3) what is epidemiological research; 4) what kind of research interests the psychiatric rehabilitation therapist; 5) which tools are needed to find the scientific information useful for professional updating; 6) how to evaluate the quality of research and scientific studies; At the end of the course, the student will have experienced, through work in small groups, planning and carrying out an epidemiological study. MODULE METHODOLOGY OF EPIDEMIOLOGICAL RESEARCH Educational objectives: The course aims to provide the main basic methodological elements of epidemiology that can help the student in understanding the frequency, distribution and causes of diseases. MEDICAL STATISTICAL MODULE Training objectives: The course covers the fundamental concepts of medical statistics, in particular descriptive statistics, and an introduction to inferential statistics, concepts of hypothesis testing and confidence intervals. At the end of the course students should be able to: • describe the data, by means of measures of central tendency and variability; • interpret and communicate appropriately information regarding a group of experimental or patient units, collected in the context of clinical or epidemiological research in relation to biomedical phenomena; • knowing how to construct and interpret a graphic representation of the collected data; • understand the fundamentals of statistical inference to a) correctly interpret the meaning of the confidence intervals of a parameter (average, proportion); b) understand the use and interpret the level of significance (p-value); • being able to read and interpret the statistical results present in the medical literature. Although formulas and computational methods are also presented, particular attention will be paid to data interpretation

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.

Gestione carriere


Graduation


Area riservata studenti