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 2021/2022 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 H L M P R S T V Z

Accordini Simone

simone.accordini@univr.it +39 045 8027657

Ambrosi Elisa

elisa.ambrosi_01@univr.it +039 0458027288

Bertolani Jessica

jessica.bertolani@univr.it 045 8028572

Bevilacqua Anita

anita.bevilacqua@apss.tn.it

Calafà Laura

laura.calafa@univr.it +39 045 8028837

Canzan Federica

federica.canzan@univr.it 0458027253- 7288

Cavada Maria Luisa

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

Dalle Carbonare Luca Giuseppe

luca.dallecarbonare@univr.it +39 045 812 6062

Fumagalli Guido Francesco

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

Landi Stefano

stefano.landi@univr.it 045 802 8168

Palese Alvisa

alvisa.palese@dstb.uniud.it

Pancheri Loredana

info@loredanapancheri.it 0461264569

Ruzzenente Andrea

andrea.ruzzenente@univr.it +39 045 812 4464

Saiani Luisa

luisa.saiani@univr.it 045 8027253

Sartori Riccardo

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

Tardivo Stefano

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

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.

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S007231

Credits

3

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/02 - STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH

Period

Lm Sio BZ 1A 1S (Coorte 2021) dal Nov 15, 2021 al Mar 31, 2022.

To show the organization of the course that includes this module, follow this link:  Course organization

Learning outcomes

The course is aimed at providing the theoretical tools to assess the frequency of diseases in human populations and the associated risk factors, i.e. skills in epidemiology and biostatistics.
At the end of the course the student must demonstrate to have acquired knowledge and skills concerning the main designs of an observational epidemiological study and the statistical methods for the analysis of biomedical data, and to know how to interpret and communicate the results of an analysis in a clear and concise way.

Program

The course is structured in theoretical frontal lessons (30h).
The teaching material is made available to the students on the e-learning web page of the course (Moodle platform).

DESCRIPTIVE STATISTICS
- The measurement process in medicine: measurement scales, validity, precision and accuracy
- Statistical variables and frequency distributions
- How to summarize the distribution of one or more variables: measures of location and dispersion, contingency tables

PROBABILITY THEORY
- Definitions of probability
- Rules of probability calculation
- Independent and conditional probabilities
- Random variables
- Gauss, Student's T and chi-squared distributions
- How to assess the validity of a diagnostic tool: sensitivity and specificity, ROC curves

INFERENTIAL STATISTICS
- An outline of sampling theory
- Sample distribution of an estimator
- Confidence interval
- The logic of the statistical test: null hypothesis and alternative hypothesis, type I and type II errors, power of a statistical test, p-value, Z test, Student's T test and Pearson's chi-squared test

PRINCIPLES OF OBSERVATIONAL EPIDEMIOLOGY:
- Definition and objectives of epidemiology
- Measures of disease frequency: prevalence, cumulative incidence, incidence rate
- Measures of association: attributable risk, relative risk, odds ratio
- Design and analysis of an observational epidemiological study: cross-sectional, case-control and cohort designs
- Effect modification
- Causal interpretation of an empirical association: random variability, systematic variability (selection bias and information bias), confounding

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Examination Methods

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

Attachments

Title Info File
Doc_Univr_pdf 01.Guida alla stesura tesi di laurea 223 KB, 23/06/21 

Gestione carriere


Orario lezioni

Ultimo aggiornamento orario lezioni: 30/05/2022

Attachments


Stage

Attachments

Title Info File
Doc_Univr_pdf 00.Elenco sedi stage accreditate 376 KB, 23/06/21 
Doc_Univr_pdf 00.Guida allo stage 386 KB, 23/06/21 
Doc_Univr_msword 01.Modulo firma presenze 198 KB, 23/06/21 
Doc_Univr_docx 02.Progetto formativo 1296 KB, 23/06/21 
Doc_Univr_docx 03.Progetto formativo LOMBARDIA 1321 KB, 23/06/21 
Doc_Univr_msword 04.Modulo autoapprendimento per tutor 44 KB, 23/06/21 
Doc_Univr_msword 05.Modulo valutazione 104 KB, 23/06/21 

Area riservata studenti