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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| Lezioni 1 Semestre CLID VR | Oct 1, 2018 | Dec 21, 2018 |
| Lezioni 2 Semestre CLID VR | Mar 4, 2019 | May 3, 2019 |
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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
+39 045 812 4251/4024
elisa.artegiani@univr.it
giacomosebastiano.canova@aulss8.veneto.it
nicolo.cardobi@univr.it
anja.meyer@univr.it
maria.murgia@aovr.veneto.it
alessia.pardo@univr.it
elda.righi@univr.it
annarita.signoriello@univr.it
gialuca.trifiro@univr.it
ROMINA.VITA@libero.it
marghe.viviani@gmail.com
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 |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1° Year
| Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2019/2020
| Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2020/2021
| Modules | Credits | TAF | SSD |
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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.
Methodology for evidence-based practice (2020/2021)
The teaching is organized as follows:
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
| 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
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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
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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.
Graduation
Attachments
| Title | Info File |
|---|---|
Risultati Prova Pratica - 7 Novembre 2022 - Laurea in Igiene Dentale
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63 KB, 08/11/22 |
Gestione carriere
Orario Lezioni
Si pubblicano gli orari delle lezioni relativi al 1^anno -1° semestre:
La frequenza in aula delle lezioni è obbligatoria ed è prevista per tutti e tre gli anni di corso.
Per gli studenti l’accesso in aula richiederà obbligatoriamente la preventiva prenotazione del posto tramite l’App UNIVR Lezioni.
1 ANNO: Aula 3 Lente didattica
2-3 ANNO: Aula 5 lente - e Aule Piastra Odontoiatrica
Attachments
| Title | Info File |
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LEZIONI IGIENE DENTALE 1ANNO 1 SEMESTRE AA 2022-23
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27 KB, 22/09/22 |
Calendario Esami
in questa pagina verranno pubblicati i calendari degli esami del Corso di Laurea.
Attachments
| Title | Info File |
|---|---|
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CALENDARIO ESAMI CLID 1 ANNO 1 SEMESTRE 2021-22 SESSIONE INVERNALE
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566 KB, 13/12/22 |
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CALENDARIO ESAMI CLID 1 ANNO 2 SEMESTRE 2022-23 SESSIONE INVERNALE
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469 KB, 13/01/23 |
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CALENDARIO ESAMI CLID 2 ANNO 1 SEMESTRE 2022-23 SESSIONE INVERNALE
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543 KB, 21/12/22 |
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CALENDARIO ESAMI CLID 2 ANNO 2 SEMESTRE 2022-23 SESSIONE INVERNALE
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627 KB, 22/12/22 |
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CALENDARIO ESAMI CLID 3 ANNO 1 SEMESTRE 2022-23 SESSIONE INVERNALE
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536 KB, 18/01/23 |
