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 |
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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.
Academic staff
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.
1° Year
Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2022/2023
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
Epidemiology, statistics and research (2021/2022)
The teaching is organized as follows:
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
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MM: STATISTICA PER LA RICERCA SPERIMENTALE
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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).
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MM: BASI METODOLOGICHE PER LA RICERCA APPLICATA
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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
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MM: EPIDEMIOLOGIA E SANITA' PUBBLICA
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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
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.
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MM: STATISTICA PER LA RICERCA SPERIMENTALE
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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.
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MM: BASI METODOLOGICHE PER LA RICERCA APPLICATA
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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.
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MM: EPIDEMIOLOGIA E SANITA' PUBBLICA
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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.
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 |
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00.Guida allo stage | pdf, it, 543 KB, 05/10/22 |
01.Modulo firma presenze | msword, it, 198 KB, 23/06/21 |
02.Progetto formativo SEDE BOLZANO | octet-stream, it, 1297 KB, 05/10/22 |
02.Progetto formativo SEDE VERONA | octet-stream, it, 1297 KB, 05/10/22 |
03.Progetto formativo LOMBARDIA - SEDE BOLZANO | octet-stream, it, 1324 KB, 05/10/22 |
03.Progetto formativo LOMBARDIA - SEDE VERONA | octet-stream, it, 1323 KB, 05/10/22 |
04.Modulo autoapprendimento per tutor | msword, it, 44 KB, 23/06/21 |
05.Modulo valutazione | msword, it, 104 KB, 23/06/21 |
FEB24_discussione report_programmazione | pdf, it, 111 KB, 10/01/24 |
MAG-GIU24_discussione report_programmazione | pdf, it, 112 KB, 09/05/24 |
MAR24_discussione report_programmazione | pdf, it, 110 KB, 14/02/24 |
Offerta Formativa | pdf, it, 168 KB, 18/06/24 |
Ottobre / Novembre 2024_ discussione report | pdf, it, 188 KB, 08/10/24 |
Sessione valutazione Stage 2 dicembre 2024 | pdf, it, 441 KB, 19/11/24 |
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