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.

Study Plan

A.A. 2025/2026 A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2014/2015 A.A. 2013/2014

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 enrollment year.

1° Year

ModulesCreditsTAFSSD
4
A
BIO/10 ,BIO/13
6
A
BIO/09 ,BIO/16 ,BIO/17
9
A/B
MED/28 ,MED/50 ,M-PSI/01 ,M-PSI/04
8
A/B
MED/04 ,MED/28 ,MED/36 ,MED/50
5
B
MED/12 ,MED/50
7
A/B
MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45
3
E/F
L-LIN/12
2
F
INF/01
1
F
MED/50
15
B
MED/50

2° Year  activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
4
B
MED/28 ,MED/50
5
A/B
BIO/14 ,MED/41 ,MED/45
5
B/C
MED/28 ,MED/38 ,MED/50
8
B/C
MED/28 ,MED/29 ,MED/50
3
A/B
FIS/07 ,MED/28
10
B
MED/28 ,MED/50
1
F
MED/50
22
B
MED/50

3° Year  activated in the A.Y. 2020/2021

ModulesCreditsTAFSSD
5
A/B
IUS/07 ,MED/42 ,SPS/07
9
B
MED/28 ,MED/50
1
F
MED/50
4
A/B
ING-INF/05 ,MED/01
4
B
MED/43 ,MED/50
6
D
-
3
F
-
23
B
MED/50
Prova finale
7
E
-
ModulesCreditsTAFSSD
4
A
BIO/10 ,BIO/13
6
A
BIO/09 ,BIO/16 ,BIO/17
9
A/B
MED/28 ,MED/50 ,M-PSI/01 ,M-PSI/04
8
A/B
MED/04 ,MED/28 ,MED/36 ,MED/50
5
B
MED/12 ,MED/50
7
A/B
MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45
3
E/F
L-LIN/12
2
F
INF/01
1
F
MED/50
15
B
MED/50

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Methodology for evidence-based practice (2020/2021)

Teaching code

4S000290

Credits

4

Coordinator

Francesca Locatelli

Language

Italian

MoodleMoodle Seminars 0

The teaching is organized as follows:

STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA

Credits

2

Period

Lezioni 1 Anno1 semestre CLID VR

Academic staff

Francesca Locatelli

Lessons timetable
SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Credits

2

Period

Lezioni 1 Anno1 semestre CLID VR

Academic staff

Andrea Sboarina

Lessons timetable

Learning outcomes

Il corso copre i concetti fondamentali della statistica medica, in particolare la statistica descrittiva, e un’introduzione alla statistica inferenziale, ai concetti di verifica d’ipotesi e intervalli di confidenza. Una particolare attenzione sarà dedicata all’interpretazione dei dati utilizzando anche come strumento un software di elaborazione dell’informazione con l’intento di evidenziarne le particolarità d’uso nel campo clinico-medico.

MODULO SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI Obiettivi formativi: Storia dell’evoluzione dei sistemi di elaborazione dell’informazione, studio di uno strumento software di elaborazione dell’informazione con l’intento di evidenziarne le particolarità d’uso nel campo clinico-medico.

MODULO STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA Obiettivi formativi: Il corso copre i concetti fondamentali della statistica medica, in particolare la statistica descrittiva, e un’introduzione alla statistica inferenziale, ai concetti di verifica d’ipotesi e intervalli di confidenza. Inoltre il corso presenta anche i concetti base dell’epidemiologia, illustrando prevalenza, incidenza e le misure di associazione. Alla fine del corso gli studenti dovrebbero essere in grado di: descrivere i dati, per mezzo di misure di tendenza centrale e di variabilità; interpretare e comunicare in modo appropriato le informazioni riguardanti un collettivo di unità sperimentali o pazienti, raccolte nell’ambito di una ricerca clinica o epidemiologica in relazione a fenomeni biomedici; saper costruire ed interpretare una rappresentazione grafica di sintesi dei dati raccolti; conoscere e utilizzare le principali misure di frequenza e di associazione in campo epidemiologico. Sebbene siano presentate anche formule e metodi computazionali, una particolare attenzione sarà dedicata all’interpretazione dei dati.

Program

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MM: STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
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Collection and organization of biomedical data: stages of a statistical research; population, sample and statistical units; measurement process and measurement scales; absolute, relative and cumulative frequencies; one and two-way frequency tables.
Graphical representation of biomedical data.
Measures of position and dispersion.
Introduction to probability theory: definition of probability; axiomatic theory of probabilities; Bernoulli and Gauss distributions. The objects of epidemiology: outcome; measures of disease occurrence; determinant. The association measures. The epidemiological studies: ecological study; cross-sectional study; case-control study; cohort study; clinical trial.
Introduction to statistical inference: point estimate; confidence interval; statistical test.

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MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
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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).

Bibliography

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
Glantz SA Statistica per Discipline Biomediche (Edizione 6) McGraw-Hill 2007 9788838639258
Jekel JF, Katz DL, Elmore JG, Wild DMG Epidemiologia, Biostatistica e Medicina Preventiva Elsevier-Masson 2009
Armitage P, Berry G Statistica medica. Metodi statistici per la ricerca in medicina (Edizione 3) McGraw-Hill Libri Italia, Milano 1996
Sciuto, Buonanno, Mari Introduzione ai sistemi informatici 5/ed McGraw-Hill 2014 9788838668326

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.
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MM: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
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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). The two tests will be delivered in presence mode. The remote mode is however guaranteed for all students who request it in the academic year 2020/21

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE