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 F G L M N P R S T U V Z

Adamoli Davide

davide.adamoli@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

Cunico Laura

laura.cunico@univr.it

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

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

Niero Mauro

mauro.niero@univr.it

Pancheri Loredana

info@loredanapancheri.it 0461264569

Peruzzi Marco

marco.peruzzi@univr.it 045 8028838

Poli Albino

albino.poli@univr.it 045 8027658

Romano Gabriele

gabriele.romano@univr.it 045 8027631

Sartori Riccardo

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

Selmo Laura

laura.selmo@univr.it

Smania Nicola

nicola.smania@univr.it +39 045 8124573

Ubbiali Marco

marco.ubbiali79@gmail.com 3391127947

Verlato Giuseppe

giuseppe.verlato@univr.it 045 8027628

Virga Mariano

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

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:

Sistemi di gestione informatizzata dei dati nelle organizzazioni

Credits

2

Period

1°anno 1°semestre LMSR

Academic staff

Davide Adamoli

Statistica medica ed epidemiologia

Credits

2

Period

1°anno 1°semestre LMSR

Metodologia della ricerca sociale

Credits

2

Period

1°anno 1°semestre LMSIO

Academic staff

Mauro Niero

Statistica per la ricerca sperimentale

Credits

2

Period

1°anno 1°semestre LMSR

Academic staff

Giuseppe Verlato

Learning outcomes

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MM: STATISTICA PER LA RICERCA SPERIMENTALE
------------------------
The student will learn to: 1.Measure disease frequency by computing prevalence and incidence 2.Evaluate the health effects of risk factors, by computing risk difference, relative risk and odds ratio 3.Compare mortality among populations with different age-sex structure by direct and indirect standardization 4.Assess a cause-effect relation in the epidemiological field. 5.Describe characteristics, indications, usefulness and limitations of main epidemiological studies (cross-sectional, cohort and case-control studies) 6.Read and critically appraise articles in the epidemiological field.
------------------------
MM: METODOLOGIA DELLA RICERCA SOCIALE
------------------------

------------------------
MM: STATISTICA MEDICA ED EPIDEMIOLOGIA
------------------------
The course aims to provide some knowledge of the subject, in order to give to the student the capacity to calculate and interpret some descriptive and inferential statistics, including those most common in the scientific literature.
------------------------
MM: SISTEMI DI GESTIONE INFORMATIZZATA DEI DATI NELLE ORGANIZZAZIONI
------------------------
Give an advanced knowledge and metodology of information systems used in enterprises and database implementation. Implement an actual database throgh an office application.

Program

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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
------------------------
Data, information and computer representation of information. Binary logic and advanced server architecture used in organizations: RAID technology, business continuity, disaster recovery. Project of a database: requirements analysis, conceptual project, logical project, implementation. ER Entity-Relationship model. Redundancy and integrity in a database. Implemetation of a database: SQL language, SQL query. Examples and exercises. Utilization of opensource "Base" application in the LibreOffice suite and implementation. Students can choose also Microsoft Access. Italian legislative decree n.196/2003 and B annex: personal data handling and data security. Holder, Responsible, Appointee of data handling. Minimum security measures.

Bibliography

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
Colton T Statistica in medicina Piccin Editore, Padova 1991
Fowler J, Jarvis P, Chevannes M Statistica per le Professioni Sanitarie EdiSES srl, Napoli 2006

Examination Methods

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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
------------------------
Written exam and oral presentation of a database project.

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.

Gestione carriere


Internships


Graduation


Stage

Attachments

Title Info File
Doc_Univr_pdf 00.Guida di tirocinio 1001 KB, 24/06/21 
Doc_Univr_docx 01.Libretto di tirocinio 166 KB, 24/06/21 
Doc_Univr_docx 02.Cartellino 16 KB, 24/06/21 
Doc_Univr_docx 03.Piano di Autoapprendimento 18 KB, 24/06/21 
Doc_Univr_docx 04.Gli obiettivi 20 KB, 24/06/21 
Doc_Univr_docx 05.Il diario riflessivo 15 KB, 24/06/21 
Doc_Univr_docx 06.Report di tirocinio 17 KB, 24/06/21 
Doc_Univr_docx 07.Scheda di valutazione 13 KB, 24/06/21 
Doc_Univr_docx 1.1.Copertina libretto 109 KB, 24/06/21 
Doc_Univr_docx Progetto formativo 1296 KB, 24/06/21 
Doc_Univr_docx Progetto formativo Regione Lombardia 1321 KB, 24/06/21 

Orario lezioni

Attachments

Title Info File
Doc_Univr_pdf orario SECONDO semestre PRIMO anno 2022 221 KB, 25/05/22 
Doc_Univr_pdf orario SECONDO semestre SECONDO anno 2022 216 KB, 13/05/22 

Area riservata studenti


Attività seminariali/a scelta dello studente

La Commissione Didattica organizza l'offerta di attività didattiche opzionali, realizzabili con lezioni, seminari, corsi interattivi a piccoli gruppi, tirocini fra i quali lo studente esercita la propria personale opzione, fino al conseguimento di un numero complessivo di 6 CFU.

Le attività formative a scelta dello studente si concludono con un esame, che, in quanto tale, concorre al completamento delle certificazioni di profitto requisito per accedere all'esame finale.

Il materiale didattico relativo alle suddette attività didattiche saranno messe a disposizione nello spazio moodle riservato allo stage.