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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1° e 2° semestre (corsi annuali) PROFESSIONI SANITARIE | Oct 1, 2021 | Sep 30, 2022 |
1 SEMESTRE PROFESSIONI SANITARIE | Oct 1, 2021 | Dec 23, 2021 |
2 SEMESTRE PROFESSIONI SANITARIE | Jan 10, 2022 | Sep 30, 2022 |
Session | From | To |
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TERP SESSIONE INVERNALE 2 ANNO | Dec 13, 2021 | Jan 28, 2022 |
TERP SESSIONE INVERNALE 1-3 ANNO | Jan 10, 2022 | Feb 4, 2022 |
TERP SESSIONE ESTIVA 2 ANNO | May 23, 2022 | Jun 24, 2022 |
TERP SESSIONE ESTIVA 1-3 ANNO | Jul 4, 2022 | Jul 29, 2022 |
TERP SESSIONE AUTUNNALE | Sep 1, 2022 | Sep 30, 2022 |
Session | From | To |
---|---|---|
TERP SESSIONE AUTUNNALE | Nov 1, 2022 | Dec 23, 2022 |
TERP SESSIONE PRIMAVERILE | Mar 1, 2023 | Apr 30, 2023 |
Period | From | To |
---|---|---|
Festa di Tutti i Santi | Nov 1, 2021 | Nov 1, 2021 |
Festa dell'Immacolata Concezione | Dec 8, 2021 | Dec 8, 2021 |
Festività natalizie | Dec 24, 2021 | Jan 2, 2022 |
Festività pasquali | Apr 15, 2022 | Apr 19, 2022 |
Festa della Liberazione | Apr 25, 2022 | Apr 25, 2022 |
FESTA DEL LAVORO | May 1, 2022 | May 1, 2022 |
Festa della Repubblica | Jun 2, 2022 | Jun 2, 2022 |
Santo Patrono - Rovereto | Aug 5, 2022 | Aug 5, 2022 |
Chiusura estiva | Aug 15, 2022 | Aug 20, 2022 |
Description | Period | From | To |
---|---|---|---|
TIR TERP 3 ANNO 1 SEM 1 PERIODO | TIR TERP 3 ANNO 1 SEM 1 PERIODO | Nov 15, 2021 | Dec 22, 2021 |
TIR TERP 2 ANNO 1 SEM | TIR TERP 2 ANNO 1 SEM | Jan 31, 2022 | Mar 11, 2022 |
TIR TERP 1 ANNO 2 SEMESTRE 1 PERIODO | TIR TERP 1 ANNO 2 SEMESTRE 1 PERIODO | Mar 14, 2022 | Apr 8, 2022 |
TIR TERP 3 ANNO 1 SEM 2 PERIODO | TIR TERP 3 ANNO 1 SEM 2 PERIODO | Mar 21, 2022 | May 3, 2022 |
TIR TERP 3 ANNO 2 SEM | TIR TERP 3 ANNO 2 SEM | May 16, 2022 | Jun 24, 2022 |
TIR TERP 1 ANNO 2 SEMESTRE 2 PERIODO | TIR TERP 1 ANNO 2 SEMESTRE 2 PERIODO | May 26, 2022 | Jun 24, 2022 |
TIR TERP 2 ANNO 2 SEM 1 PERIODO | TIR TERP 2 ANNO 2 SEM 1 PERIODO | Jun 27, 2022 | Jul 29, 2022 |
TIR TERP 2 ANNO 2 SEM 2 PERIODO | TIR TERP 2 ANNO 2 SEM 2 PERIODO | Aug 29, 2022 | Sep 28, 2022 |
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.
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. 2022/2023
Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2023/2024
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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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.
Medical statistics, epidemiology, informatics and research methodology (2022/2023)
The teaching is organized as follows:
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
Bibliography
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.
Orario lezioni
Documents
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pdf, it, 57 KB, 08/07/24 |
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pdf, it, 1453 KB, 15/02/24 |
Gestione carriere
Appelli d'esame
AVVISO IMPORTANTE
Documents
Title | Info File |
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pdf, it, 313 KB, 02/10/23 |
Student login and resources
Attività Seminariali/a scelta dello studente
Attività Seminariali/a scelta dello studente
Tirocinio professionalizzante
Documents
Title | Info File |
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pdf, it, 146 KB, 15/02/24 |
Modalità e sedi di frequenza
La frequenza è obbligatoria.
Maggiori dettagli in merito all'obbligo di frequenza vengono riportati nel Regolamento del corso di studio disponibile alla voce Regolamenti nel menu Il Corso. Anche se il regolamento non prevede un obbligo specifico, verifica le indicazioni previste dal singolo docente per ciascun insegnamento o per eventuali laboratori e/o tirocinio.
È consentita l'iscrizione a tempo parziale. Per saperne di più consulta la pagina Possibilità di iscrizione Part time.
Le sedi di svolgimento delle lezioni e degli esami sono le seguenti:
- salone Beata Giovanna - Via Setaioli 3/A Rovereto
- via Lungo Leno DX 27 - Rovereto