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
Lezioni CLID VERONA 2 ANNO 1 SEMESTRE Oct 2, 2019 Nov 29, 2019
Lezioni CLID VERONA 1 anno 1 SEMESTRE Oct 7, 2019 Dec 20, 2019
Lezioni CLID VERONA 3 ANNO 1 SEMESTRE Nov 4, 2019 Dec 20, 2019
Lezioni CLID VERONA 2 SEMESTRE Mar 2, 2020 May 8, 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

B C D F G L M N O P R S T V

Burro Roberto

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

Canova Giacomo Sebastiano

giacomosebastiano.canova@aulss8.veneto.it

Cardobi Nicolo'

nicolo.cardobi@univr.it

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

Dell'Orco Daniele

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

Faccioni Fiorenzo

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

Fumagalli Guido Francesco

guido.fumagalli@univr.it 045 802 7605 (dipartimento)

Fumene Feruglio Paolo

paolo.fumeneferuglio@univr.it +39 0458027680

Gerosa Roberto

roberto.gerosa@univr.it 0458124863

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

Lora Riccardo

riccardo.lora@univr.it 045 802 7606

Luciano Umberto

umberto.luciano@univr.it +39 045 807 4251

Maffeis Claudio

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

Malchiodi Luciano

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

Mansueto Giancarlo

giancarlo.mansueto@univr.it 0458124301

Meyer Anja

anja.meyer@univr.it

Murgia Maria

maria.murgia@aovr.veneto.it

Nadalet Sylvain Giovanni

sylvain.nadalet@univr.it +39 045 8028848

Olivieri Mario

mario.olivieri@univr.it 045 8124921

Polettini Aldo Eliano

aldo.polettini@univr.it 3337475432

Righi Elda

elda.righi@univr.it

Sboarina Andrea

andrea.sboarina@univr.it +39 045 802 7645

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

Signoretto Caterina

caterina.signoretto@univr.it 045 802 7195

Trevisiol Lorenzo

lorenzo.trevisiol@univr.it +39 045 812 4023

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
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° Year

ModulesCreditsTAFSSD
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)

2° Year

ModulesCreditsTAFSSD
4
B
(MED/28 ,MED/50)
7
B/C
(MED/28 ,MED/38 ,MED/50 ,M-PSI/04)

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

4

Coordinatore

Francesca Locatelli

The teaching is organized as follows:

Statistica sanitaria ed epidemiologica clinica

Credits

2

Period

Lezioni CLID VERONA 1 anno 1 SEMESTRE

Academic staff

Francesca Locatelli

Sistemi di elaborazione delle informazioni

Credits

2

Period

Lezioni CLID VERONA 1 anno 1 SEMESTRE

Academic staff

Andrea Sboarina

Learning outcomes

------------------------
MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
------------------------
The aim of the course 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.
------------------------
MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
------------------------
The module aims to provide knowledge on the basic concepts of: information, its representation and its processing systems. The course also aims to provide basic skills regarding on numerical data processing (using Excel) and research of scientific evidences (bibliographic research using biomedical databases such as MedLine and Cochrane Lybrary). These skills will be useful both for the preparation of the thesis and in a perspective of lifelong learning.

Program

------------------------
MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
------------------------
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.
------------------------
MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
------------------------
Introduction to the course. The concepts of: data, information and information processing systems. Information coding and structuring. From data to information (Exercises with Excel). Information processing. The hardware infrastructures. The software infrastructures. The software applications. Web applications for the research of biomedical evidences (Exercises with PubMed and Cochrane).

Examination Methods

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MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA 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.
------------------------
MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
------------------------
The exam consists of two written tests. One test (mainly aimed to verify the student skills) will consist of exercises which have to be taken with the aid of a computer connected to the university network. The other test (mainly aimed to verify the student knowledges) will consist of questions with free-text answers and/or multiple-choice questions. Each exercise /question of both tests will be associated with a score (reported in the text of the exam). The maximum score achievable for each test is 16 points. In order to pass the course, the student must obtain a minimum score of 9 points in each test. The final grade corresponds to the sum of the scores obtained in the two tests up to a maximum of 30. In order to obtain the grade of excellence (30 cum laude) the student should provide correct and comprehensive answers for all the questions of the two tests (the sum of the scores obtained for the two tests should be 32 points).

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Giuliani D, Dickson MM Analisi statistica con Excel 2015
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
Glantz SA Statistica per Discipline Biomediche (Edizione 6) McGraw-Hill 2007 9788838639258
Sciuto, Buonanno, Mari Introduzione ai sistemi informatici 5/ed McGraw-Hill 2014 9788838668326

Type D and Type F activities

Academic year

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.

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.