Studying at the University of Verona

A.A. 2021/2022

Academic calendar

Il calendario accademico riporta le scadenze, gli adempimenti e i periodi rilevanti per la componente studentesca, personale docente e personale dell'Università. Sono inoltre indicate le festività e le chiusure ufficiali dell'Ateneo.
L’anno accademico inizia il 1° ottobre e termina il 30 settembre dell'anno successivo.

Academic calendar

Course calendar

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

Definition of lesson periods
Period From To
1 SEMESTRE PROFESSIONI SANITARIE Oct 1, 2021 Dec 23, 2021
1° e 2° semestre (corsi annuali) PROFESSIONI SANITARIE Oct 1, 2021 Sep 30, 2022
2 SEMESTRE PROFESSIONI SANITARIE Jan 10, 2022 Sep 30, 2022
Holidays
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

Exam calendar

The exam roll calls are centrally administered by the operational unit   Medicine Teaching and Student Services Unit
Exam Session Calendar and Roll call enrolment   sistema ESSE3 . If you forget your password to the online services, please contact the technical office in your Faculty or to the service credential recovery .

Exam calendar

Per dubbi o domande Read the answers to the more serious and frequent questions - F.A.Q. Examination enrolment

Academic staff

A B C D G L R T Z

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

Laudanna Carlo

carlo.laudanna@univr.it 045-8027689

Ruggeri Mirella

mirella.ruggeri@univr.it 0458124953

Tagliaro Franco

franco.tagliaro@univr.it 045 8124618-045 8124246

Tam Enrico

enrico.tam@univr.it +39 045 8425149

Tamburin Stefano

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

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)

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.

1° Anno

TeachingsCreditsTAFSSD
5
A/B
(BIO/16 ,MED/26 ,M-PSI/02)
8
A/B/C
(MED/36 ,MED/42 ,MED/45 ,M-PED/03)
3
E/F
(L-LIN/12)

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

Scientific Disciplinary Sector (SSD)

-

Learning outcomes

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

Educational offer 2021/2022

The details (teacher, program, exam methods, etc.) will be published in the academic year of delivery of the course. To consult the course sheet of a previous academic year, select the teaching plan of an academic year of enrollment prior to yours.

Medical statistics, epidemiology, informatics and research methodology (2021/2022)

Tipologia di Attività formativa D e F

Course not yet included

Career prospects


Avvisi degli insegnamenti e del corso di studio

Per la comunità studentesca

Se sei già iscritta/o a un corso di studio, puoi consultare tutti gli avvisi relativi al tuo corso di studi nella tua area riservata MyUnivr.
In questo portale potrai visualizzare informazioni, risorse e servizi utili che riguardano la tua carriera universitaria (libretto online, gestione della carriera Esse3, corsi e-learning, email istituzionale, modulistica di segreteria, procedure amministrative, ecc.).
Entra in MyUnivr con le tue credenziali GIA.

Graduation


Gestione carriere


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.