Studying at the University of Verona

A.A. 2020/2021

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. For further information, please get in touch with Operational unit: Medicine Teaching and Student Services Unit

Definition of lesson periods
Period From To
LOGO 2^ anno - 1^semestre Oct 1, 2020 Nov 20, 2020
LOGO 1^ anno - 1^semestre Oct 5, 2020 Nov 20, 2020
LOGO 3^ anno - 1^semestre Oct 5, 2020 Nov 20, 2020
LOGO 2^ anno - 2^semestre Jan 7, 2021 Feb 26, 2021
LOGO 1^ anno - 2^semestre Jan 7, 2021 Feb 26, 2021
LOGO 3^ anno - 2^semestre Jan 7, 2021 Feb 26, 2021
Exam sessions
Session From To
LOGO SESSIONE INVERNALE Dec 1, 2020 Dec 23, 2020
LOGO SESSIONE ESTIVA Jul 1, 2021 Jul 30, 2021
LOGO SESSIONE AUTUNNALE Sep 1, 2021 Sep 30, 2021
Degree sessions
Session From To
LOGO SESSIONE AUTUNNALE Nov 1, 2021 Nov 30, 2021
LOGO SESSIONE PRIMAVERILE Mar 1, 2022 Apr 30, 2022
Holidays
Period From To
FESTIVITA' IMMACOLATA CONCEZIONE Dec 8, 2020 Dec 8, 2020
Vacanze Natalizie Dec 24, 2020 Jan 3, 2021
VACANZE PASQUALI Apr 2, 2021 Apr 5, 2021
Santo Patrono May 21, 2021 May 21, 2021
Vacanze Estive Aug 9, 2021 Aug 15, 2021
Other Periods
Description Period From To
LOGO 2^ anno - 1^semestre LOGO 2^ anno - 1^semestre Mar 1, 2021 Apr 30, 2021
LOGO 1^ anno - 1^semestre LOGO 1^ anno - 1^semestre Mar 1, 2021 Apr 30, 2021
LOGO 3^ anno - 1^semestre LOGO 3^ anno - 1^semestre Mar 1, 2021 Apr 30, 2021
LOGO 2^ anno - 2^semestre (1 periodo) LOGO 2^ anno - 2^semestre (1 periodo) May 3, 2021 Jun 11, 2021
LOGO 3^ anno - 2^semestre (1 periodo) LOGO 3^ anno - 2^semestre (1 periodo) May 3, 2021 Jun 11, 2021
LOGO 1^ anno - 2^semestre LOGO 1^ anno - 2^semestre May 3, 2021 Jun 11, 2021
LOGO 2^ anno - 2^semestre (2 periodo) LOGO 2^ anno - 2^semestre (2 periodo) Jun 14, 2021 Jul 16, 2021
LOGO 3^ anno - 2^semestre (2 periodo) LOGO 3^ anno - 2^semestre (2 periodo) Jun 14, 2021 Jul 16, 2021

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.

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 G I L M N O P R S T V Z

Albanese Massimo

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

Aragno Anna Maria Rosa

anna.aragno@univr.it +39 045 812 2330

Bernardelli Stefano

bernardelli.stefano@alice.it 045 8122139

Boaretti Marzia

marzia.boaretti@univr.it 045 8027661

Brondino Margherita

margherita.brondino@univr.it +39 045 802 8549

Cisterna Barbara

barbara.cisterna@univr.it +39 045 802 7564

Colognato Patrizia

patrizia.colognato@univr.it 045 8027504

Dando Ilaria

ilaria.dando@univr.it +39 045 802 7169

Darra Francesca

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

Fabrizi Gian Maria

gianmaria.fabrizi@univr.it +39 0458124461

Fantin Francesco

francesco.fantin@univr.it +39 045 812 3577

Girelli Massimo

massimo.girelli@univr.it +39 0458027106

Isoli Sara

sara.isoli@univr.it

Landuzzi Maria Gabriella

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

Laudanna Carlo

carlo.laudanna@univr.it 045-8027689

Majorano Marinella

marinella.majorano@univr.it 0458028372

Marchioni Daniele

daniele.marchioni@univr.it +39 045 812 7669

Marcon Alessandro

alessandro.marcon@univr.it +39 045 802 7668

Melloni Chiara

chiara.melloni@univr.it +39 045802 8119

Minuz Pietro

pietro.minuz@univr.it +39 045 812 4414

Nadalet Sylvain Giovanni

sylvain.nadalet@univr.it +39 045 8028848

Olivieri Mario

mario.olivieri@univr.it 045 8124921

Pelizzari Nicola

nicola.pelizzari@univr.it

Perlini Cinzia

cinzia.perlini@univr.it +39 0458126691

Piacentini Giorgio

giorgio.piacentini@univr.it +39 045 812 7120

Sacchetto Luca

luca.sacchetto@univr.it +39 045 812 7538

Santandrea Elisa

elisa.santandrea@univr.it +39 045 802 7148

Simonati Alessandro

alessandro.simonati@univr.it +39 0458126625/4883

Smania Nicola

nicola.smania@univr.it +39 045 8124573

Tagliaro Franco

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

Trabetti Elisabetta

elisabetta.trabetti@univr.it 045/8027209

Turco Alberto

alberto.turco@univr.it 0458027189

Veronese Sheila

sheila.veronese@univr.it

Zamboni Giulia

giulia.zamboni@univr.it 0458124301

Zanolin Maria Elisabetta

elisabetta.zanolin@univr.it +39 045 802 7654

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
6
A/B
(MED/07 ,MED/36 ,MED/42 ,MED/44 ,MED/45)
8
A/B
(FIS/07 ,MED/32 ,MED/50 ,M-FIL/05)
6
A
(BIO/10 ,BIO/13 ,MED/03)
4
A
(MED/04 ,MED/09)
3
E/F
(L-LIN/12)

1° Anno

TeachingsCreditsTAFSSD
6
A/B
(MED/07 ,MED/36 ,MED/42 ,MED/44 ,MED/45)
8
A/B
(FIS/07 ,MED/32 ,MED/50 ,M-FIL/05)
6
A
(BIO/10 ,BIO/13 ,MED/03)
4
A
(MED/04 ,MED/09)
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

4S000162

Credits

5

The teaching is organized as follows:

Statistica medica e epidemiologia clinica

Credits

2

Period

LOGO 2^ anno - 1^semestre

Academic staff

Maria Elisabetta Zanolin

Informatica applicata

Credits

2

Period

LOGO 2^ anno - 1^semestre

Academic staff

Alessandro Marcon

Psicometria

Credits

1

Period

LOGO 2^ anno - 1^semestre

Academic staff

Margherita Brondino

Learning outcomes

APPLIED INFORMATICS MODULE Training objectives: The course aims to provide students with basic knowledge on the functioning of a computer and on the storage and management of health data. Students will use the spreadsheet for data synthesis and representation and will retrieve information from bibliographic databases. MODULE PSYCHOMETRY Educational objectives: This module provides two educational objectives related to data collection using the questionnaire tool. The first objective concerns the construction of a questionnaire, the adaptation of an already existing instrument and the different methods of administration. The second objective envisages an introduction to the statistical package R aimed at acquiring the basic skills necessary for the analysis of the data collected through a questionnaire and verification of its psychometric properties. MODULE OF MEDICAL STATISTICS AND CLINICAL EPIDEMIOLOGY Educational objectives: The educational path aims to make students able to: describe and interpret information regarding a set of data; know and interpret the main frequency and association measures in the epidemiological field.

Program

------------------------
MM: STATISTICA MEDICA E EPIDEMIOLOGIA CLINICA
------------------------
MEDICAL STATISTICS • Collection and presentation of data: measurement, types of variables and measurement scales; sensitivity and specificity of a measurement procedure; one-way and two-way tables; absolute and relative frequencies; cumulative frequencies. • Measure of position: mode, median, quantiles, reference range, arithmetic and weighted mean. • Measures of spread: range, standard deviation, coefficient of variation, interquartile range. - Basic notions of inferential statistics (confidence intervals and hypotesis testing) - The Normal distribution EPIDEMIOLOGY • Introduction to epidemiology: definition of epidemiology; outcome, occurrence parameter, determinant. • Measure of occurrence: incidence, cumulative incidence, prevalence. • Measure of association: attributable risk, relative risk, odds ratio; confounding and effect modifiers. • Diagnostic and screening tests: sensitivity, specificity, positive predictive value of a screening test. • Design of Health studies: introduction to cross sectional studies, cohort studies, case-control studies, clinical trial ∗ Lantieri PB, Risso D, Ravera G (2007) Statistica. McGraw-Hill Libri Italia srl: Milano ∗ Swinscow TDV, Campbell MJ. Le basi della Statistica per scienze bio-mediche. Edizioni Minerva Medica S.p.A., Torino, 2004. ∗ Fowler J, Jarvis P, Chevannes M (2006) Statistica per le professioni sanitarie. EdiSES srl, Napoli ∗ Verlato G, Zanolin ME (2000) Esercizi di Statistica Medica, Informatica ed Epidemiologia. Editrice Libreria Cortina Verona. ∗ Lopalco PL, Tozzi AE. Epidemiologia facile.(2003) Il Pensiero Scientifico Editore, Roma.
------------------------
MM: INFORMATICA APPLICATA
------------------------
The course is structured in frontal lectures (20 h). 1) Collection, archiving and management of health data - functioning and components of a computer - data sources - construction of a questionnaire - data coding - data matrix (table) - identification keys 2) Using Microsoft Excel spreadsheet - loading data - formatting - cell formats - using and creating formulas - descriptive statistics - graphs - Pivot tables 3) Retrieval of bibliographic information from PubMed - Boolean operators - simple search - complex search - Single Citation Matcher - Medical Subject Headings
------------------------
MM: PSICOMETRIA
------------------------
A brief description of the program: L1. How to write the items of a questionnaire, to collect data and prepare a database; L2. Preparation of the database (continue), coding of the variables and transformation of the reverse; L3. Analysis of the quality of the data and of the scale; L4. Introduction of : JAMOVI descriptive statistics and reliability of the scale; L5. Exploratory factor analysis reference: Chiorri, C. (2011). Teoria e tecnica psicometrica. Milano: McGraw-Hill.

Examination Methods

------------------------
MM: STATISTICA MEDICA E EPIDEMIOLOGIA CLINICA
------------------------
Written exam with multiple-choice tests and exercises; if this test is passed, then an oral interview will be carried out (optional).
------------------------
MM: INFORMATICA APPLICATA
------------------------
The final exam consists of a practical computer exercise and a written test (or an oral test in case of remote teaching) with multiple-choice and open questions. A remote oral test is guaranteed for all students who will ask for it in the 2020/21 academic year. The objectives of the test are to verify the knowledge of the topics discussed, to verify the ability to perform calculations and to produce data visualisations with the support of a spreadsheet, and to verify the ability to perform a bibliographic search. The final evaluation is expressed in 30ths.
------------------------
MM: PSICOMETRIA
------------------------
Written exam in two parts: the first is composed of 6 items with multiple choice the second part is composed of exercises on Excel and JAMOVI

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
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
Lilienfield A, Lilienfield DE Fondamenti di Epidemiologia. (Edizione 1) Piccin 1986
K.J. Rothman Epidemiologia Idelson-Gnocchi 2007
Lopalco, Pier Luigi e Tozzi, Alberto Eugenio Epidemiologia facile Il pensiero scientifico 2003 ISBN 88-490-0081-2
Fowler J, Jarvis P, Chevannes M Statistica per le Professioni Sanitarie EdiSES srl, Napoli 2006
Corrao, Salvatore Conoscere e usare Pubmed : guida al più noto sistema di ricerca bibliografica in campo biomedico Il pensiero scientifico 2008 978-88-490-0256-0
Simona Villani, Paola Borrelli Excel & statistica medica. Guida pratica per le professioni sanitarie Medea 2013 978-88-6693-048-8
Bassi, Chiara Pubmed : istruzioni per l’uso Il Pensiero scientifico 2010 978-88-490-0335-2
Carlo Chiorri Teoria e tecnica psicometrica. Costruire un test psicologico McGraw-Hill Education 2011

Corsi Elettivi

Academic year

Course not yet included

Career prospects


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