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..

Definition of lesson periods
Period From To
I semestre Oct 1, 2020 Jan 29, 2021
II semestre Mar 1, 2021 Jun 11, 2021
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2021 Feb 26, 2021
Sessione estiva d'esame Jun 14, 2021 Jul 30, 2021
Sessione autunnale d'esame Sep 1, 2021 Sep 30, 2021
Degree sessions
Session From To
Sessione Estiva Jul 15, 2021 Jul 15, 2021
Sessione Autunnale Oct 15, 2021 Oct 15, 2021
Sessione Invernale Mar 15, 2022 Mar 15, 2022
Holidays
Period From To
Festa dell'Immacolata Dec 8, 2020 Dec 8, 2020
Vacanze Natalizie Dec 24, 2020 Jan 3, 2021
Epifania Jan 6, 2021 Jan 6, 2021
Vacanze Pasquali Apr 2, 2021 Apr 5, 2021
Festa del Santo Patrono May 21, 2021 May 21, 2021

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering 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 S

Accordini Simone

simone.accordini@univr.it +39 045 8027657

Baruffi Maria Caterina

mariacaterina.baruffi@univr.it

Bicego Manuele

manuele.bicego@univr.it +39 045 802 7072

Bombieri Cristina

cristina.bombieri@univr.it 045-8027284

Bombieri Nicola

nicola.bombieri@univr.it +39 045 802 7094

Cicalese Ferdinando

ferdinando.cicalese@univr.it +39 045 802 7969

Combi Carlo

carlo.combi@univr.it 045 802 7985

Constantin Gabriela

gabriela.constantin@univr.it 045-8027102

Cozza Vittoria

vittoria.cozza@univr.it

Daducci Alessandro

alessandro.daducci@univr.it +39 045 8027025

Delledonne Massimo

massimo.delledonne@univr.it 045 802 7962; Lab: 045 802 7058

Franco Giuditta

giuditta.franco@univr.it +39 045 802 7045

Fummi Franco

franco.fummi@univr.it 045 802 7994

Giacobazzi Roberto

roberto.giacobazzi@univr.it +39 045 802 7995

Giugno Rosalba

rosalba.giugno@univr.it 0458027066

Laudanna Carlo

carlo.laudanna@univr.it 045-8027689

Liptak Zsuzsanna

zsuzsanna.liptak@univr.it +39 045 802 7032

Malerba Giovanni

giovanni.malerba@univr.it 045/8027685

Marcon Alessandro

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

Maris Bogdan Mihai

bogdan.maris@univr.it +39 045 802 7074

Perduca Massimiliano

massimiliano.perduca@univr.it +39 045 802 7984

Sala Pietro

pietro.sala@univr.it 0458027850

Salvagno Gian Luca

gianluca.salvagno@univr.it 045 8124308-0456449264

Spoto Nicola Fausto

fausto.spoto@univr.it +39 045 8027940

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.

Modules Credits TAF SSD
Between the years: 1°- 2°
English b2 level
4
F
-
Between the years: 1°- 2°
Other activities
2
F
-
Between the years: 1°- 2°

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

4S004562

Coordinatore

Simone Accordini

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

MED/01 - MEDICAL STATISTICS

Period

I semestre dal Oct 1, 2020 al Jan 29, 2021.

Learning outcomes

The course aims at providing the students with the theoretical and practical tools needed to evaluate the frequency of diseases in human populations and the associated risk factors, i.e. expertise in epidemiology, biostatistics and information technology applied to the analysis of biomedical data. Knowledge and understanding: Knowledge and skills concerning the main designs of epidemiological studies, the statistical methods for the analysis of biomedical data and the programming syntax of a statistical software (STATA). Applied knowledge and understanding: a) To know the statistical techniques used for the analysis of biomedical data; b) to perform data analysis using a statistical software (STATA); c) to interpret the results obtained. Making judgements: Ability to choose the appropriate statistical methods in relation to the type of data and the design of the study. Communication skills: Ability to communicate the results of an analysis of biomedical data clearly and concisely. Lifelong learning skills: Ability to apply autonomously the statistical and epidemiological methodologies learned during the course on various biomedical problems.

Program

The course is structured in theoretical lessons (32h) and in practical lessons (24h) on the use of a statistical software (STATA) for the quantitative analysis of biomedical data, which are provided in dual mode (face to face and remote).
The teaching material is made available to the students on the e-learning web page of the course (Moodle platform).

1. Introduction to epidemiology
- Definition and key features
- Traditional classification of epidemiology
- John Snow and cholera outbreaks in London

2. Measures of occurrence
- Outcomes
- Prevalence
- Cumulative incidence
- Incidence rate

3. Measures of association and public health impact
- Determinants
- Epidemiological associations
- Attributable risk (AR) and AR%
- Relative risk (RR) and Odds ratio (OR)
- Effect modification

4. Types of epidemiological studies
- Ecological studies
- Cross-sectional studies
- Cohort studies
- Case-control studies
- Experimental studies

5. Causal interpretation of an empirical association
- Statistical vs. causal associations
- Causal models in epidemiology
- Validity of a study (random error, bias, confounding)
- Types of bias
- Methods to control confounding
- Hill’s positive criteria for causality

6. Health prevention, screening and diagnostic tests
- Primary, secondary, tertiary prevention
- Validity and performance of a diagnostic test

7. Principles of inference
- Principles of sampling
- Point estimate and sampling distribution
- Confidence interval
- Hypothesis test
- Test of significance

8. Stratified analysis
- Effect modification vs. confounding
- Stratum-specific estimates
- Testing homogeneity
- Pooled estimate
- Testing the stratified null hypothesis of no association

9. Basic statistical models in epidemiological research
- Linear regression model
- Logistic regression model

10. Statistical methods for survival analysis
- Kaplan-Meier non-parametric estimator
- Cox regression model

Reference texts
Author Title Publishing house Year ISBN Notes
Marubini E, Valsecchi MG Analysing Survival Data from Clinical Trials and Observational Studies John Wiley & sons 1995
Pearce N A short Introduction to Epidemiology (Edizione 2) 2005 https://vula.uct.ac.za/access/content/group/9c29ba04-b1ee-49b9-8c85-9a468b556ce2/DOH/Module%202%20(Bio_Epi)/Epidemiology/EPIDEMIOLOGY/Pearce.pdf
Hennekens CH, Buring JE Epidemiology in Medicine Lippincott Williams & Wilkins 1987
McCullagh P, Nelder JA Generalized Linear Models (Edizione 2) Chapman and Hall/CRC 1989
Rothman KJ, Greenland S, Lash TL Modern Epidemiology (Edizione 3) Lippincott Williams & Wilkins 2008
Glantz SA Statistica per Discipline Biomediche (Edizione 6) McGraw-Hill 2007 9788838639258

Examination Methods

The final test is a written exam in presence (computer lab). The test is the same for attending and non-attending students.
The remote exam is however guaranteed for all students who request it in the academic year 2020/21.
The aim of the test is to verify the knowledge of all the topics discussed and the ability to solve a biomedical problem by analyzing health data using the statistical software STATA.
The commands, results and interpretation of the analysis are reported in written form. In addition, students have to answer some questions to ascertain the understanding of theory.
The final evaluation is expressed in thirtieths.

Type D and Type F activities

I semestre From 10/1/20 To 1/29/21
years Modules TAF Teacher
1° 2° Matlab-Simulink programming D Bogdan Mihai Maris (Coordinatore)
II semestre From 3/1/21 To 6/11/21
years Modules TAF Teacher
1° 2° Introduction to 3D printing D Franco Fummi (Coordinatore)
1° 2° Python programming language D Vittoria Cozza (Coordinatore)
1° 2° HW components design on FPGA D Franco Fummi (Coordinatore)
1° 2° Rapid prototyping on Arduino D Franco Fummi (Coordinatore)
1° 2° Protection of intangible assets (SW and invention)between industrial law and copyright D Roberto Giacobazzi (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinatore)
1° 2° The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. D Nicola Fausto Spoto (Coordinatore)

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


Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Career management


Area riservata studenti