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 2017/2018 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 H K L M O P R S T V W

Accordini Simone

simone.accordini@univr.it +39 045 8027657

Berenzi Paolo

paoloberenzi@gmail.com 0471416220

Bertini Giuseppe

giuseppe.bertini@univr.it 045-802-7682

Cavada Maria Luisa

luisa.cavada@claudiana.bz.it 0471/442620

Cicoira Mariantonietta

mariantonietta.cicoira@univr.it +39 045 812 7720

Conti Michela

michela.conti@univr.it 0458123295

Fabene Paolo

paolo.fabene@univr.it 0458027267

Fava Cristiano

cristiano.fava@univr.it +39 045 8124732

Gajofatto Alberto

alberto.gajofatto@univr.it +39 0458126765

Kustatscher Astrid

astrid.kustatscher@claudiana.bz.it

Landuzzi Maria Gabriella

mariagabriella.landuzzi@univr.it +39 045 802 8547

Liziero Luciano

luciano.liziero@univr.it 0429788181/85

Mazzariol Annarita

annarita.mazzariol@univr.it 045 8027690

Moretti Ugo

ugo.moretti@univr.it 0458027602; 0458124245

Pancheri Loredana

info@loredanapancheri.it 0461264569

Pilotto Sara

sara.pilotto@univr.it +390458128124

Polettini Aldo Eliano

aldo.polettini@univr.it 3337475432

Rossi Barbara

barbara.rossi@univr.it 045 8027222

Tardivo Stefano

stefano.tardivo@univr.it +39 045 802 7660

Valer Luisa

luisa.valer@claudiana.bz.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.

ModulesCreditsTAFSSD
8
B
MED/09 ,MED/13 ,MED/26 ,MED/34 ,MED/45
6
B/C
MED/18 ,MED/33 ,MED/41 ,MED/45
8
B
MED/06 ,MED/09 ,MED/10 ,MED/11 ,MED/17 ,MED/45
ModulesCreditsTAFSSD
4
B
MED/38 ,MED/40 ,MED/45 ,MED/47
8
B
MED/09 ,MED/18 ,MED/41 ,MED/45
4
A/B
MED/01 ,MED/45
6
A/B
MED/25 ,MED/45 ,M-PSI/01 ,SPS/07
5
A/B
IUS/07 ,MED/42 ,MED/45 ,SPS/07
Prova finale
7
E
-

2° Year

ModulesCreditsTAFSSD
8
B
MED/09 ,MED/13 ,MED/26 ,MED/34 ,MED/45
6
B/C
MED/18 ,MED/33 ,MED/41 ,MED/45
8
B
MED/06 ,MED/09 ,MED/10 ,MED/11 ,MED/17 ,MED/45

3° Year

ModulesCreditsTAFSSD
4
B
MED/38 ,MED/40 ,MED/45 ,MED/47
8
B
MED/09 ,MED/18 ,MED/41 ,MED/45
4
A/B
MED/01 ,MED/45
6
A/B
MED/25 ,MED/45 ,M-PSI/01 ,SPS/07
5
A/B
IUS/07 ,MED/42 ,MED/45 ,SPS/07
Prova finale
7
E
-

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

4S000084

Credits

4

Coordinatore

Simone Accordini

The teaching is organized as follows:

Statistica sanitaria e epidemiologia clinica

Credits

2

Period

INF BZ - 3° anno 1° sem

Academic staff

Simone Accordini

Metodologia dell'infermieristica basata sulle evidenze

Credits

2

Period

INF BZ - 3° anno 1° sem

Academic staff

Maria Luisa Cavada

Learning outcomes

------------------------
MM: METODOLOGIA DELL'INFERMIERISTICA BASATA SULLE EVIDENZE
------------------------
This course focused on the elements of evidence-based practice. Focus is placed on the cyclical process of identifying clinical questions, searching and appraising the evidence for potential solutions/innovations. Integration of the existing evidence with clinical judgment, patient preferences, inter-professional perspectives, and other resources forms the basis for the clinical decision-making process that is inherent in improving patient, population, and organizational outcomes.
------------------------
MM: STATISTICA SANITARIA E EPIDEMIOLOGIA CLINICA
------------------------
The aim of the course "Health statistics and clinical epidemiology" is to provide the theoretical and practical tools for assessing the frequency of diseases in human populations and the associated risk factors. The course therefore aims to provide expertise in epidemiology and bio-statistics. At the end of the course, the student must demonstrate to have understood the basic bio-statistical methods applied to epidemiology and the elements of an epidemiological study.

Program

------------------------
MM: METODOLOGIA DELL'INFERMIERISTICA BASATA SULLE EVIDENZE
------------------------
• The model and the elements of EBP process • Formulating an Answerable Question using the ‘P I C O’ principle • Searching evidence in scientific databases (eg. PubMed) to identify and to propose solutions/ innovations to clinical • Understanding results from quantitative evidence: RCT’s, cross.-sectional and observational studies, systematic reviews and meta-analysis • Understanding results from qualitative studies • Understanding the Clinical Practice Guidelines and their relevance in the nursing practice • Integrating clinical judgment, patient preferences and other available resources as a basis for clinical decision-making • The Evidence Hierarchy: definitions and examples
------------------------
MM: STATISTICA SANITARIA E EPIDEMIOLOGIA CLINICA
------------------------
The course is structured in theoretical frontal lessons (24h). Collection and organization of biomedical data: - stages of a statistical research; - population, sample and statistical units; - measurement process and measurement scales; - validity, accuracy and precision of a measuring instrument; - absolute, relative and cumulative frequencies; - one and two-way frequency tables. Graphical representation of biomedical data: - pie chart; - bar chart; - histogram; - cumulative frequency polygon. Measures of location and dispersion: - mode; - percentiles and median; - simple and weighted arithmetic mean; - range; - interquartile range; - deviance, variance and standard deviation; - coefficient of variation. An introduction to probability theory: - definition of probability; - axiomatic theory of probabilities; - rules of probability calculation; - independent and conditional probabilities; - Bernoulli and Gauss distributions. Diagnostic and screening tests: - sensitivity and specificity. The objects of epidemiology: - outcome; - measures of disease frequency (prevalence, cumulative incidence, incidence rate); - determinant. The occurrence relationship: - measures of absolute effect (attributable risk); - measures of relative effect (relative risk, odds ratio). The epidemiological studies: - ecological study; - cross-sectional study; - case-control study; - cohort study; - clinical trial. An introduction to statistical inference: - point estimate; - confidence interval; - statistical test.

Bibliography

Reference texts
Author Title Publishing house Year ISBN Notes
Lantieri PB, Risso D, Ravera G Elementi di Statistica Medica McGraw-Hill 2007
Jekel JF, Katz DL, Elmore JG, Wild DMG Epidemiologia, Biostatistica e Medicina Preventiva Elsevier-Masson 2009
Verlato G, Zanolin ME Esercizi di Statistica Medica, Informatica ed Epidemiologia Libreria Cortina Editrice, Verona 2000
Fowler J, Jarvis P, Chevannes M Statistica per le Professioni Sanitarie EdiSES srl, Napoli 2006

Examination Methods

The final test consists of 2 written exams, one for each unit. To pass the final test, the student must get a score of not less than 18/30 in each exam. The final mark (in thirtieths) is the average of the 2 scores.
------------------------
MM: METODOLOGIA DELL'INFERMIERISTICA BASATA SULLE EVIDENZE
------------------------
Written exam composed by different kind of questions such as open and close question to test: • evidence based nursing knowledge • critical thinking skills Appraising a research article using open questions
------------------------
MM: STATISTICA SANITARIA E EPIDEMIOLOGIA CLINICA
------------------------
The final test is a written exam with short answer questions and multiple choice questions. The aim of the test is to verify the knowledge of all the topics discussed. The final evaluation is expressed in thirtieths.

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.

Graduation


Gestione carriere


Orario lezioni

Carissime Studentesse,

Carissimi Studenti,

di seguito un promemoria relativo alle modalità di erogazione della didattica per il corso di studio A.A. 2021-2022 in Infermieristica (triennale) e Scienze Infermieristiche ed Ostetriche (LM).

Il 29 giugno 2021 il Senato Accademico ed il Consiglio di Amministrazione hanno approvato le Linee guida per l’erogazione della didattica dei corsi di studio A.A. 2021-2022, che prevedono il graduale ritorno all’erogazione della didattica in presenza (previa verifica GREEN PASS) affiancato da organizzazione logistica, modalità̀, metodologie e tecnologie didattiche già̀ adottate dallo scorso anno.

In considerazione della peculiarità del corso professionalizzante, che prevede la presenza obbligatoria sia per le lezioni frontali che numerosi laboratori pratici in presenza, si ricorda che non sarà possibile ottenere la frequenza richiesta solamente con la frequenza streaming o tramite lezioni registrate. La gestione delle presenze in aula/streaming verrà quindi garantita dai coordinatori, in un piano di presenze che dovrà essere seguito dallo studente.

Nei giorni in cui i coordinatori proporranno allo studente la frequenza in streaming si sottolinea l’importanza di avere il video acceso ed una postura ed un abbigliamento consono alla lezione universitaria. In mancanza di questi elementi, la frequenza non verrà conteggiata.  La registrazione della lezione non potrà considerarsi come sostitutiva ma come elemento di supporto didattico. Non varrà quindi come frequenza.

Sperando che, anche grazie all’importantissima campagna vaccinale in corso, si possa tornare quanto prima ad una situazione pre-COVID-19, vi auguro buon lavoro!

In fede

Prof. Paolo F Fabene


Guida ai programmi degli insegnamenti

Guida ai programmi degli insegnamenti

Attachments

Title Info File
Doc_Univr_pdf Guida ai programmi degli insegnamenti 1598 KB, 08/11/21 
Doc_Univr_pdf Guida ai programmi degli insegnamenti - inglese 1310 KB, 02/09/21 

Linee guida per riconoscimento cfu

Lo studente che intende chiedere il riconoscimento di moduli o insegnamenti pregressi dovrà presentare domanda, entro il 30 novembre dell’anno accademico in corso, seguendo le indicazioni indicate al link seguente: https://www.univr.it/it/i-nostri-servizi/segreterie-studenti/gestione-carriere-studenti-medicina-e-chirurgia/riconoscimento-crediti-acquisiti-da-una-carriera-pregressa-medicina

Attachments

Title Info File
Doc_Univr_pdf linee guida per riconoscimento cfu 295 KB, 09/11/21 

Area riservata studenti