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 e 2 SEMESTRE 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

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 F L M N O P R S Z

Albanese Massimo

massimo.albanese@univr.it +39 045 812 4251/4024

Bottani Emanuela

emanuela.bottani@univr.it 045 802 7608

Burro Roberto

roberto.burro@univr.it +39 045 802 8911

Chiarini Anna Maria

anna.chiarini@univr.it +39 045 802 7646

Ciccocioppo Rachele

rachele.ciccocioppo@univr.it 045 8124466

D'Agostino Antonio

antonio.dagostino@univr.it +39 045 812 4023

Darra Francesca

francesca.darra@univr.it +39 045 812 7869

Dell'Orco Daniele

daniele.dellorco@univr.it +39 045 802 7637

Faccioni Fiorenzo

fiorenzo.faccioni@ospedaleuniverona.it +39 045 812 4251 - 4868

Lleo'Fernandez Maria Del Mar

maria.lleo@univr.it 045 8027194

Locatelli Francesca

francesca.locatelli@univr.it 045 8027655

Lombardo Giorgio

giorgio.lombardo@univr.it +39 045 812 4867

Maffeis Claudio

claudio.maffeis@univr.it +39 045 812 7664

Malchiodi Luciano

luciano.malchiodi@univr.it +39 045 812 4855

Nadalet Sylvain Giovanni

sylvain.nadalet@univr.it +39 045 8028848

Olivieri Mario

mario.olivieri@univr.it 045 8124921

Pizzini Francesca Benedetta

francescabenedetta.pizzini@univr.it 00390458124301

Polettini Aldo Eliano

aldo.polettini@univr.it 3337475432

Righi Elda

elda.righi@univr.it

Scapini Patrizia

patrizia.scapini@univr.it 0458027556

Schweiger Vittorio

vittorio.schweiger@univr.it +39 045 812 4311

Scupoli Maria

mariateresa.scupoli@univr.it 045-8027405 045-8128425

Zerman Nicoletta

nicoletta.zerman@univr.it + 39 045 812 4251 - 4857

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.

TeachingsCreditsTAFSSD
9
A/B
(MED/28 ,MED/50 ,M-PSI/01)
6
A/B
(MED/04 ,MED/28 ,MED/36)
7
A/B
(MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45)
3
E/F
(L-LIN/12)

1° Anno

TeachingsCreditsTAFSSD
9
A/B
(MED/28 ,MED/50 ,M-PSI/01)
6
A/B
(MED/04 ,MED/28 ,MED/36)
7
A/B
(MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45)
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

4S000290

Credits

5

Scientific Disciplinary Sector (SSD)

-

Learning outcomes

Training objectives: The course covers the fundamental concepts of medical statistics, in particular descriptive statistics, and an introduction to inferential statistics, hypothesis verification concepts and confidence intervals. Turn a clinical care problem into one or more questions to be asked in the clinical/welfare literature, through the use of databases. A special focus will be on the interpretation of the data using as a tool an information processing software with the aim of highlighting the particularities of use in the clinical-medical field. INFORMATION PROCESSING SYSTEMS MODULE Training objectives: History of the evolution of information processing systems, study of a software tool for information processing with the aim of highlighting the particularities of use in the clinical-medical field. DESCRIPTIVE HEALTH STATISTICS FORM Training objectives: The course covers the fundamental concepts of medical statistics, in particular descriptive statistics, to the concepts of hypothesis verification and confidence intervals. In addition, the course also presents the basic concepts of epidemiology, illustrating prevalence, incidence and association measures. At the end of the course students should be able to:  describe the data, through central trend measures and variability;  appropriately interpret and communicate information about a collective of experimental units or patients, collected as part of clinical or epidemiological research in relation to biomedical phenomena;  know how to construct and interpret a graphical representation of synthesis of the collected data;  know and use the main frequency and association measures in the epidemiological field. Although computational formulas and methods are also presented, special attention will be paid to the interpretation of the data.

Educational offer 2020/2021

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.

Methodology for evidence-based practice (2020/2021)

Tipologia di Attività formativa D e F

Academic year

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.