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
Lm Sio BZ 1A 1S (Coorte 2021) Nov 15, 2021 Mar 31, 2022
Lm Sio BZ 2A 1S (Coorte 2020) Feb 1, 2022 Sep 30, 2022
Lm Sio BZ 1A 2S (Coorte 2021) Apr 1, 2022 Dec 31, 2022
Lm Sio BZ 2A 2S (Coorte 2020) Oct 1, 2022 Dec 31, 2022

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 Enrollment FAQs

Academic staff

A B C D F G H L M P R S T V Z

Accordini Simone

symbol email simone.accordini@univr.it symbol phone-number +39 045 8027657

Ambrosi Elisa

symbol email elisa.ambrosi_01@univr.it symbol phone-number +039 0458027288

Bevilacqua Anita

symbol email anita.bevilacqua@apss.tn.it symbol phone-number +39 0461 902469

Calafà Laura

symbol email laura.calafa@univr.it symbol phone-number +39 045 8425337

Canzan Federica

symbol email federica.canzan@univr.it symbol phone-number 0458027253- 7288

Cavada Maria Luisa

symbol email luisa.cavada@claudiana.bz.it symbol phone-number 0471/442620

Dalle Carbonare Luca Giuseppe

symbol email luca.dallecarbonare@univr.it symbol phone-number +39 045 812 6062

Fumagalli Guido Francesco

symbol email guido.fumagalli@univr.it symbol phone-number 045 802 7605 (dipartimento)

Landi Stefano

symbol email stefano.landi@univr.it symbol phone-number 045 802 8168

Pais Dei Mori Luigi

symbol email luigi.paisdeimori@univr.it

Palese Alvisa

symbol email alvisa.palese@dstb.uniud.it

Ruzzenente Andrea

symbol email andrea.ruzzenente@univr.it symbol phone-number +39 045 812 4464

Saiani Luisa

symbol email luisa.saiani2@gmail.com symbol phone-number 3478268049

Sartori Riccardo

symbol email riccardo.sartori@univr.it symbol phone-number +39 045 802 8140

Tardivo Stefano

symbol email stefano.tardivo@univr.it symbol phone-number +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 enrollment year.

2° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
7
B
MED/45 ,MED/47 ,M-PSI/06 ,SPS/09
8
B
BIO/14 ,MED/18 ,MED/40 ,MED/41 ,MED/45
Stage
30
B
-
Final exam
7
E
-
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
7
B
MED/45 ,MED/47 ,M-PSI/06 ,SPS/09
8
B
BIO/14 ,MED/18 ,MED/40 ,MED/41 ,MED/45
Stage
30
B
-
Final exam
7
E
-

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

7

Coordinator

Simone Accordini

Language

Italian

The teaching is organized as follows:

STATISTICA PER LA RICERCA SPERIMENTALE

Credits

3

Period

Lm Sio BZ 1A 1S (Coorte 2021)

Academic staff

Simone Accordini

BASI METODOLOGICHE PER LA RICERCA APPLICATA

Credits

2

Period

Lm Sio BZ 1A 1S (Coorte 2021)

Academic staff

Luisa Saiani

EPIDEMIOLOGIA E SANITA' PUBBLICA

Credits

2

Period

Lm Sio BZ 1A 1S (Coorte 2021)

Academic staff

Stefano Tardivo

Learning outcomes

The teaching aims to provide descriptive and inferential statistics fundaments, students will learn to recognize the most frequently study designs used in epidemiology and in the medical literature. The course will also cover the subject of clinical risk and patient safety as well as logics of health management and services planning.
STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH (STATISTICA PER LA RICERCA SPERIMENTALE): Learning outcomes: The course aims 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.
METHODOLOGICAL BASES FOR APPLIED RESEARCH (BASI METODOLOGICHE PER LA RICERCA APPLICATA): Learning outcomes:
The course provides knowledge and methods to analyze the research process (qualitative-quantitative approaches), develop a research protocol, develop the skills necessary to critically appraise or assess the validity and the generalizalibilty of a research article or a clinical practice guideline and trasform a clinical question in one or more research questions.
HYGIENE AND PUBLIC HEALTH (EPIDEMIOLOGIA E SANITA’ PUBBLICA): Learning outcomes:
- Provide students with epidemiological tools for observational studies
- Provide students with the tools to analyze the health needs of the population.
- Provide students with the data collection paths and data evaluation tools
- Provide students with indicators for health planning.

Program

------------------------
MM: STATISTICA PER LA RICERCA SPERIMENTALE
------------------------
DESCRIPTIVE STATISTICS: - measurement of a statistical variable (measurement scales, validity, precision and accuracy); - univariate and bivariate distributions (contingency tables); - how to summarize the distribution of a statistical variable (measures of central tendency and measures of dispersion). PROBABILITY: - elements of probability theory (definitions of probability, axiomatic theory of probabilities, rules of probability calculation, independent and conditional probabilities, probability estimates); - expected events; - discrete random variables (Bernoulli distribution); - continuous random variables (Gauss, Student's T and chi-squared distributions); - standardised normal deviate; - validity of a diagnostic test (sensitivity, specificity and ROC curves); - performance of a diagnostic test (positive predictive value and negative predictive value). INFERENTIAL STATISTICS: - an outline of sampling theory; - point estimation (sampling distribution of a mean and a proportion); - interval estimation (confidence interval of a mean and a proportion); - statistical hypothesis test (null and alternative hypotheses, test statistic, regions of rejection and non-rejection of the null hypothesis, type I and type II errors, power of a statistical test); - statistical significance test (p-value); - Z and Student's T tests; - Pearson's chi-squared test; - relationship between confidence interval and hypothesis testing. PRINCIPLES OF THE OBSERVATIONAL EPIDEMIOLOGICAL RESEARCH: - definition and objectives of the epidemiological research; - statistical variables of interest in the epidemiological research (outcome and determinant); - measures of disease frequency (prevalence, cumulative incidence and incidence rate); - the occurrence relation and measures of association (attributable risk, relative risk and odds ratio); - design and analysis of the observational epidemiological studies (ecological, cross-sectional, case-control, cohort); - effect modification; - causal interpretation of an empirical association: random variability, systematic variability (selection and information bias), confounding. The module is structured in frontal lessons during which the topics listed in the program are presented and discussed, exercises are solved and results of statistical analyses of biomedical data are interpreted. The didactic material (slides of the lessons, exercises with solutions) is made available to the students on the e-learning web page of the course (Moodle platform).
------------------------
MM: BASI METODOLOGICHE PER LA RICERCA APPLICATA
------------------------
The research process - Selection and definition of the problem, questions research hypotheses, research design - Sample selection - Classification of research studies (experimental and observational studies mixed method ) - Data collection methods
------------------------
MM: EPIDEMIOLOGIA E SANITA' PUBBLICA
------------------------
EVALUATION TOOLS • indicators of the health status of the population (rates, indices, mortality, morbidity, causes of death, causes of illness, avoidable mortality) • population structure indicators (birth rate, aging index, Lexis curve, family composition, population distribution in the area) • indicators of use of healthcare facilities (number and size of hospital facilities in Italy, hospitalization rates, hospital discharge cards, consumption of drugs, number of services and efficiency of facilities) • performance evaluation indicators (Il Programma Nazionale Esiti (PNE); Sistema di Valutazione delle Performance dei Sistemi Sanitari Regionali) PROGRAMMING TOOLS applied to specific problems: • needs assessment • evaluation of resources • tools for analyzing the effectiveness of resource allocation MANAGEMENT OF CLINICAL RISK IN HOSPITAL AND TERRITORIAL CONTEXTS THE POLICY FOR OBJECTIVES AND THE BUDGET MANAGEMENT HISTORY PROCESS

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 exam consists of three tests, one for each module, based on the didactic contents of the whole teaching. The exam is passed if the student receives a positive evaluation (greater than or equal to 18/30) for all three tests. The final grade is calculated as the weighted average on the credits of the individual modules.
------------------------
MM: STATISTICA PER LA RICERCA SPERIMENTALE
------------------------
The final examination is a written test (duration of the test: 2 hours). The written test covers potentially all the topics listed in the program and is structured in groups of questions related to solving exercises and understanding the theory. Items are formulated as short answer questions and multiple-choice questions. The questions in the written test aim to assess the ability: - to calculate probabilities and epidemiological measures, and to perform basic inferential statistical analyses, critically using the methodological tools learnt during the course; - to identify the design of an observational epidemiological study and to justify its choice in a research context described in the examination text; - to identify the presence of effect modification and confounding using descriptive analyses of contingency tables. Each question is assigned a score. The grade of the test (expressed in thirtieths) is given by the sum of the scores obtained by correctly answering the individual questions. The test is considered passed if the student gains a minimum grade of 18/30.
------------------------
MM: BASI METODOLOGICHE PER LA RICERCA APPLICATA
------------------------
The final examination will consist of multiple choice and open questions to assess students' understanding of the EBP and research concepts covered in the course and their ability to apply critical appraisal skills to the assessment and interpretation of clinical evidence.
------------------------
MM: EPIDEMIOLOGIA E SANITA' PUBBLICA
------------------------
The final test is a written exam with short answer questions The aim of the test is to verify the knowledge of all the topics discussed. The final evaluation is expressed in thirtieths.

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

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 also via the Univr app.

Gestione carriere


Stage

Documents

Title Info File
File pdf 00.Guida allo stage pdf, it, 543 KB, 05/10/22
File msword 01.Modulo firma presenze msword, it, 198 KB, 23/06/21
File octet-stream 02.Progetto formativo SEDE BOLZANO octet-stream, it, 1297 KB, 05/10/22
File octet-stream 02.Progetto formativo SEDE VERONA octet-stream, it, 1297 KB, 05/10/22
File octet-stream 03.Progetto formativo LOMBARDIA - SEDE BOLZANO octet-stream, it, 1324 KB, 05/10/22
File octet-stream 03.Progetto formativo LOMBARDIA - SEDE VERONA octet-stream, it, 1323 KB, 05/10/22
File msword 04.Modulo autoapprendimento per tutor msword, it, 44 KB, 23/06/21
File msword 05.Modulo valutazione msword, it, 104 KB, 23/06/21
File pdf FEB24_discussione report_programmazione pdf, it, 111 KB, 10/01/24
File pdf MAG-GIU24_discussione report_programmazione pdf, it, 112 KB, 09/05/24
File pdf MAR24_discussione report_programmazione pdf, it, 110 KB, 14/02/24
File pdf Offerta Formativa pdf, it, 168 KB, 18/06/24
File pdf Ottobre / Novembre 2024_ discussione report pdf, it, 188 KB, 08/10/24
File pdf Sessione valutazione Stage 2 dicembre 2024 pdf, it, 441 KB, 19/11/24

Graduation

Documents

Title Info File
File pdf Guida alla stesura tesi di laurea pdf, it, 305 KB, 18/06/24

Student login and resources


Modalità e sedi di frequenza

La frequenza è obbligatoria.

Maggiori dettagli in merito all'obbligo di frequenza vengono riportati nel Regolamento del corso di studio disponibile alla voce Regolamenti nel menu Il Corso. Anche se il regolamento non prevede un obbligo specifico, verifica le indicazioni previste dal singolo docente per ciascun insegnamento o per eventuali laboratori e/o tirocinio.

È consentita l'iscrizione a tempo parziale. Per saperne di più consulta la pagina Possibilità di iscrizione Part time.

La sede di svolgimento delle lezioni e degli esami è Scuola provinciale superiore di sanità - Claudiana