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.

A.A. 2019/2020

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..

Definition of lesson periods
Period From To
LMSRPS - 2° ANNO 1° SEM. Oct 3, 2019 Feb 8, 2020
LMSRPS - 1° ANNO 1° SEM. Nov 14, 2019 Mar 14, 2020
LMSRPS - 2° ANNO 2° SEM. Apr 16, 2020 Jun 27, 2020
LMSRPS - 1° ANNO 2° SEM. Apr 16, 2020 Jun 27, 2020
Exam sessions
Session From To
Sessione invernale Lm Srps Mar 16, 2020 Apr 9, 2020
Sessione estiva Lm Srps Jul 1, 2020 Jul 31, 2020
Sessione autunnale Lm Srps Sep 1, 2020 Sep 30, 2020
Degree sessions
Session From To
Prima sessione Lm Srps Sep 15, 2020 Dec 15, 2020
Seconda sessione Lm Srps Mar 1, 2021 Apr 30, 2021
Holidays
Period From To
FESTIVITA' OGNISSANTI Nov 1, 2019 Nov 1, 2019
FESTIVITA' IMMACOLATA CONCEZIONE Dec 8, 2019 Dec 8, 2019
Vacanze di Natale Dec 23, 2019 Jan 6, 2020
VACANZE DI PASQUA Apr 10, 2020 Apr 15, 2020
FESTA DELLA LIBERAZIONE Apr 25, 2020 Apr 25, 2020
FESTIVITA' DEL LAVORO May 1, 2020 May 1, 2020
FESTIVITA' DEL SANTO PATRONO SAN ZENO May 21, 2020 May 21, 2020
Festa della Repubblica Jun 2, 2020 Jun 2, 2020
vacanze estive Aug 10, 2020 Aug 23, 2020
Other Periods
Description Period From To
Stage 2° anno Lm Srps Stage 2° anno Lm Srps Jun 15, 2020 Sep 15, 2020
Stage 1° anno Lm Srps Stage 1° anno Lm Srps Jul 1, 2020 Sep 30, 2020

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 F G L M P R S T V Z

Adamoli Davide

davide.adamoli@univr.it

Alga Maria Livia

marialivia.alga@univr.it

Amaddeo Francesco

francesco.amaddeo@univr.it 045 8124930

Biondani Cinzia

cinzia.biondani@ospedaleuniverona.it

Calabrese Massimiliano

massimiliano.calabrese@univr.it +39 045 812 4678

Cecchetto Simone

simone.cek@libero.it 0444/431354

Del Piccolo Lidia

lidia.delpiccolo@univr.it +39 045 812 4441

Furri Laura

laura.furri@univr.it 045 8027678

Gandolfi Marialuisa

marialuisa.gandolfi@univr.it +39 045 812 4943

Geroin Christian

christian.geroin@univr.it +39 045 812 4503

Landuzzi Maria Gabriella

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

Leardini Chiara

chiara.leardini@univr.it 045 802 8222

Manganotti Alessandro

alessandro.manganotti@ospedaleuniverona.it

Mansueti Nadia

nadia.mansueti@ospedaleuniverona.it

Mortari Luigina

luigina.mortari@univr.it 045 802 8652

Pancheri Loredana

info@loredanapancheri.it 0461264569

Peruzzi Marco

marco.peruzzi@univr.it 045 8028838

Picelli Alessandro

alessandro.picelli@univr.it +39 045 8124573

Poli Albino

albino.poli@univr.it 045 8027658

Sartori Riccardo

riccardo.sartori@univr.it +39 045 802 8140

Smania Nicola

nicola.smania@univr.it +39 045 8124573

Tamburin Stefano

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

Tardivo Stefano

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

Vale' Nicola

nicola.vale@univr.it +39 045 812 4573

Verlato Giuseppe

giuseppe.verlato@univr.it 045 8027628

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.

ModulesCreditsTAFSSD
8
B
(ING-INF/05 ,MED/01 ,SECS-S/02 ,SECS-S/05)
5
B
(MED/45 ,MED/48)
10
B
(IUS/07 ,IUS/09 ,MED/42 ,SECS-P/07)
3
E/F
(L-LIN/12)
Stage
15
B
-
ModulesCreditsTAFSSD
10
B
(L-LIN/01 ,MED/02 ,MED/48 ,M-FIL/05 ,SPS/08 ,SPS/09)
8
B/C
(MED/48 ,M-PED/01 ,M-PED/04)
Stage
15
B
-
Final exam
7
E
-

1° Year

ModulesCreditsTAFSSD
8
B
(ING-INF/05 ,MED/01 ,SECS-S/02 ,SECS-S/05)
5
B
(MED/45 ,MED/48)
10
B
(IUS/07 ,IUS/09 ,MED/42 ,SECS-P/07)
3
E/F
(L-LIN/12)
Stage
15
B
-

2° Year

ModulesCreditsTAFSSD
10
B
(L-LIN/01 ,MED/02 ,MED/48 ,M-FIL/05 ,SPS/08 ,SPS/09)
8
B/C
(MED/48 ,M-PED/01 ,M-PED/04)
Stage
15
B
-
Final exam
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

4S01896

Credits

8

The teaching is organized as follows:

Statistica per la ricerca sperimentale

Credits

2

Period

LMSRPS - 1° ANNO 1° SEM.

Academic staff

Giuseppe Verlato

Metodologia della ricerca sociale

Credits

2

Period

LMSRPS - 1° ANNO 1° SEM.

Academic staff

Elhassan Makil

Statistica medica ed epidemiologia

Credits

2

Period

LMSRPS - 1° ANNO 1° SEM.

Sistemi di gestione informatizzata dei dati nelle organizzazioni

Credits

2

Period

LMSRPS - 1° ANNO 1° SEM.

Academic staff

Davide Adamoli

Learning outcomes

EPIDEMIOLOGY AND STATISTICS The course aims to provide knowledge and insights about the main techniques of descriptive and inferential statistics, epidemiological studies and related measures of frequency and association of diseases in order to critically evaluate scientific articles. The course also aims to provide theoretical and practical knowledge regarding social research methods, with an in-depth analysis of the questionnaire tool, and the use of information systems and databases in the organization. STATISTICS FOR EXPERIMENTAL RESEARCH At the end of the course, the student must be able to: 1. Measure the prevalence and incidence of a disease 2. Evaluate the impact of risk factors on health, calculate the attributable risk and the relative risk ratio 3. Compare the mortality rate in populations with different age and gender through direct and indirect standardization 4. Identify the link between cause and effect from an epidemiological perspective 5. Describe the characteristics, indications, advantages and disadvantages of the main types of epidemiological studies (transversal, cohort, case-control) 6. Critically evaluate epidemiological articles. METHODOLOGY OF SOCIAL RESEARCH The course aims to increase the knowledge of social research methods, with particular reference to questionnaires as well as the theoretical and practical knowledge required to construct and manage a questionnaire in the health sector. MEDICAL STATISTICS AND EPIDEMIOLOGY The course aims to increase the knowledge of the analysis and interpretation of descriptive and inferential statistical procedures most commonly utilized in the scientific literature. COMPUTERIZED DATA MANAGEMENT SYSTEMS IN ORGANIZATIONS The course aims to provide the most advanced knowledge on the methodology to develop information systems in the organization environment and carry out database design. A further aim is to implement a database through the use of a computerized data management system.

Program

------------------------
MM: STATISTICA PER LA RICERCA SPERIMENTALE
------------------------
INTRODUCTION TO EPIDEMIOLOGY Definition of Epidemiology: epidemiology as the science of prevention. Epidemiologic transition during the XX century. Outcome, parameter of occurrence, determinant, occurrence relation MEASURES OF DISEASE FREQUENCY The disease as a status or an event: prevalence and incidence Cumulative incidence and incidence rate Relation between incidence, duration and prevalence MEASURES OF ASSOCIATION Risk Difference, Relative Risk, Etiologic fraction, Odds Ratio STANDARDIZATION Direct and indirect standardization CAUSAL RELATIONSHIP IN EPIDEMIOLOGY Deterministic and probabilistic approach to cause-effect relationship. Hill’s causal criteria, Rothman’s “causal pie model”. Confounder and effect modifier. MAIN ERRORS IN EPIDEMIOLOGIC STUDIES Random error Systematic error: information, selection and confounding bias. MAIN TYPES OF EPIDEMIOLOGIC STUDIES Cross-sectional study Cohort study Case-control study Ecological study Controlled clinical trials
------------------------
MM: METODOLOGIA DELLA RICERCA SOCIALE
------------------------

------------------------
MM: STATISTICA MEDICA ED EPIDEMIOLOGIA
------------------------
Probability distribution Normal distribution Standard normal distribution table for computing the area under the curve Inferential statistic Confidence intervals Confidence intervals with small samples: the t distribution Introduction to the hypothesis tests Hypothesis test of a single mean Paired sample t-test One-tailed and two-tailed hypothesis test Comparison of two means Type I and Type II errors, power of test Correlation: Pearson correlation coefficient. The regression analysis.
------------------------
MM: SISTEMI DI GESTIONE INFORMATIZZATA DEI DATI NELLE ORGANIZZAZIONI
------------------------

Examination Methods

------------------------
MM: STATISTICA PER LA RICERCA SPERIMENTALE
------------------------
The written examination will consist of about 25 multiple choice questions with 5-8 possible answers, and one exercise of Epidemiology on a simple data set. Wrong answers to the written examination will be orally discussed with the student.
------------------------
MM: METODOLOGIA DELLA RICERCA SOCIALE
------------------------

------------------------
MM: STATISTICA MEDICA ED EPIDEMIOLOGIA
------------------------
The final evaluation of the profit will be made through a written test with exercises; if this test is passed, then an oral interview will be carried out.
------------------------
MM: SISTEMI DI GESTIONE INFORMATIZZATA DEI DATI NELLE ORGANIZZAZIONI
------------------------

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Dunn G, Everitt B Biostatistica Clinica Il pensiero scientifico editore 1999
W. W. Daniel, C. L. Cross Biostatistica Concetti di base per l’analisi statistica delle scienze dell’area medico-sanitaria (Edizione 3) EdiSES 2019 9788833190419
Jekel JF, Katz DL, Elmore JG, Wild DMG Epidemiologia, Biostatistica e Medicina Preventiva Elsevier-Masson 2009
Corbetta Piergiorgio La ricerca sociale: Metodologia e tecniche (Edizione 2015) Mulino  
Norman G, Streiner D Biostatistica: quello che avreste voluto sapere... (Edizione 2) Ambrosiana 2015
Verlato G, Zanolin ME Esercizi di Statistica Medica, Informatica ed Epidemiologia Libreria Cortina Editrice, Verona 2000
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 Statistica per le Professioni Sanitarie EdiSES srl, Napoli 2006

Type D and Type F activities

Modules not yet included

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.

Stage

Attachments

Title Info File
pdf 00.Guida di tirocinio 1001 KB, 24/06/21 
docx 01.Libretto di tirocinio 166 KB, 24/06/21 
docx 02.Cartellino 16 KB, 24/06/21 
docx 03.Piano di Autoapprendimento 18 KB, 24/06/21 
docx 04.Gli obiettivi 20 KB, 24/06/21 
docx 05.Il diario riflessivo 15 KB, 24/06/21