Studying at the University of Verona
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° E 2° SEMESTRE | Oct 1, 2018 | May 31, 2019 |
| LEZIONI 1° SEMESTRE 2°-3°-4°-5°-6° ANNO | Oct 1, 2018 | Dec 21, 2018 |
| LEZIONI I° SEMESTRE 1°ANNO | Oct 15, 2018 | Dec 21, 2018 |
| LEZIONI 2° SEMESTRE | Feb 18, 2019 | May 31, 2019 |
| Session | From | To |
|---|---|---|
| SESSIONE INVERNALE A.A. 2017/2018 E 1°SEMESTRE A.A. 2018/2019 | Jan 7, 2019 | Feb 15, 2019 |
| SESSIONE ESTIVA LAUREANDI | Jun 3, 2019 | Jul 5, 2019 |
| SESSIONE ESTIVA A.A. 2018/2019 | Jun 3, 2019 | Jul 26, 2019 |
| SESSIONE AUTUNNALE A.A. 2018/2019 | Sep 2, 2019 | Sep 27, 2019 |
| Session | From | To |
|---|---|---|
| SESSIONE INVERNALE | Mar 4, 2019 | Mar 15, 2019 |
| SESSIONE ESTIVA | Jul 15, 2019 | Jul 31, 2019 |
| SESSIONE AUTUNNALE | Oct 14, 2019 | Oct 25, 2019 |
| Period | From | To |
|---|---|---|
| FESTIVITA' OGNISSANTI | Nov 1, 2018 | Nov 1, 2018 |
| FESTIVITA' IMMACOLATA CONCEZIONE | Dec 8, 2018 | Dec 8, 2018 |
| VACANZE DI NATALE | Dec 24, 2018 | Jan 6, 2019 |
| VACANZE DI PASQUA | Apr 19, 2019 | Apr 28, 2019 |
| FESTA DELLA LIBERAZIONE | Apr 25, 2019 | Apr 25, 2019 |
| FESTIVITA' DEL LAVORO | May 1, 2019 | May 1, 2019 |
| FESTIVITA' DEL SANTO PATRONO SAN ZENO | May 21, 2019 | May 21, 2019 |
| FESTA DELLA REPUBBLICA | Jun 2, 2019 | Jun 2, 2019 |
| Description | Period | From | To |
|---|---|---|---|
| ATTIVITA' FACOLTATIVA O DI RECUPERO TIROCINIO | ATTIVITA' FACOLTATIVA O DI RECUPERO TIROCINIO | Oct 1, 2018 | Sep 30, 2019 |
| TIROCINIO 1°SEMESTRE ESCLUSI I PERIODI DI VACANZA | TIROCINIO 1°SEMESTRE ESCLUSI I PERIODI DI VACANZA | Oct 1, 2018 | Feb 17, 2019 |
| TIROCINIO 2°SEMESTRE ESCLUSI I PERIODI DI VACANZA | TIROCINIO 2°SEMESTRE ESCLUSI I PERIODI DI VACANZA | Feb 18, 2019 | Jul 26, 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
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.
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1° Year
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2° Year
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3° Year
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4° Year
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5° Year
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6° Year
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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.
Behavioural Sciences and Scientific Methodology - STATISTICA MEDICA (2018/2019)
Teaching code
4S02633
Teacher
Credits
4
Language
Italian
Scientific Disciplinary Sector (SSD)
MED/01 - MEDICAL STATISTICS
Period
LEZIONI 1° SEMESTRE 2°-3°-4°-5°-6° ANNO dal Oct 1, 2018 al Dec 21, 2018.
To show the organization of the course that includes this module, follow this link: Course organization
Learning outcomes
The course aims to introduce the basic theoretical tools of Quantitative Medicine. The course points to prepare students to:
- describe, interpret and communicate appropriately the information gathered on a collective of patients (or other experimental units);
- assess the reliability of the measurements in the biomedical field, in terms of sensitivity, specificity, accuracy and precision;
- generalize the observations collected on a limited number of subjects to the population of origin using elementary inferential techniques
- read critically the articles of the biomedical area
Program
Introduction: The purpose of the statistics in medicine.
Descriptive statistics
1) The measurement process and the different types of measurement scales
2) The statistical variables and their representation by means of frequency distributions: tables with one or two variables.
3) Graphical representation of a frequency distribution
4) Measures of position (mean, median, mode, percentiles, weighted average)
5) Measures of dispersion (range, interquartile deviation, deviation, variance, standard deviation, coefficient of variation)
Probability
1) Definitions of probability: classical, frequentist, subjectivist
2) The rules of calculation of probability: addition and product rule
3) Independent and conditional probability
4) The sensitivity and specificity of a diagnostic tool
5) ROC curves
6) Bayes theorem and its applications to differential diagnosis
7) Random variables
8) Normal Distribution
9) Population and sample. Introduction to the sampling theory
10) The sampling distribution of an estimator (sample mean)
Inferential Statistics
1) Point and interval estimates: confidence interval
2) The logic of hypothesis testing: the null and the alternative hypothesis; first and second type error; the power of a test
3) Comparison of a sample mean with a population mean: z-test and t-test
4) Comparison of two sample means: t-test for unpaired data and for paired data
5) Chi-square test
6) Correlation and regression
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Daniel WW, Cross CL | Biostatistica (Edizione 3) | Edises | 2019 | ||
| Verlato G, Zanolin ME | Esercizi di Statistica Medica, Informatica ed Epidemiologia | Libreria Cortina Editrice, Verona | 2000 |
Examination Methods
The exam is written and consists of multiple choice tests and exercises. The answers provided in the examination will be discussed with the student.
Bibliography
Free choice courses
Modules not yet included
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.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
Graduation
Attachments
| Title | Info File |
|---|---|
Fac-simile copertina della tesi di laurea
|
97 KB, 24/03/22 |
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Norme redazionali della tesi di laurea
|
305 KB, 24/03/22 |
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Regolamento esame finale
|
379 KB, 24/03/22 |
