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 |
---|---|---|
LEZ 1A 1S - ID - VR | Oct 7, 2013 | Dec 20, 2013 |
LEZ 1A 2S - ID - VR | Mar 3, 2014 | Apr 30, 2014 |
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 Enrollment 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 enrollment year.
1° Year
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2° Year activated in the A.Y. 2014/2015
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3° Year activated in the A.Y. 2015/2016
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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 - STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA (2015/2016)
Teaching code
4S000290
Teacher
Credits
2
Language
Italian
Scientific Disciplinary Sector (SSD)
MED/01 - MEDICAL STATISTICS
Period
lez 3 anno 1 semestre CLIDVR dal Nov 16, 2015 al Jan 29, 2016.
Location
VERONA
To show the organization of the course that includes this module, follow this link: Course organization
Learning outcomes
The course is aimed at enabling the student to:
- estimate accuracy and precision of measurements performed in the biomedical field;
- properly synthetize and summarize the information collected on a series of patients;
- compute the probability of a single event or several events
- generalize findings from samples to the original population
Program
INTRODUCTION
The role of Statistics in Health Professions.
DESCRIPTIVE STATISTICS
Different measurement scales – Statistical variables and their presentation through frequency distributions: one-entry or double-entry tables – Measures of central tendency: mean (arithmetic, geometric, weighted), median, mode, percentiles – Measures of dispersion: range, interquartile range, sum of squares, variance (mean square), standard deviation, variation coefficient
PROBABILITY
Classic, frequentist, subjective interpretations of probability – Sum and product rules of probability – Independent and dependent events and conditional probability – Sensitivity, specificity, positive and negative predictive value of a diagnostic test – ROC curves – Bayes theorem and its application to differential diagnosis – Random variables – Theoretical probability distributions: normal distribution
SAMPLING
Populations and samples - Common sampling designs – Sampling distribution of an estimator (sample mean)
STATISTICAL INFERENCE
Point and interval estimates: confidence interval – Logical structure of hypothesis testing: null and alternative hypotheses; acceptance and rejecton regions; type I and type II error; power of a statistical test – Comparing a sample mean to a population mean: z-test and t-test – Comparing the means of two independent or dependent samples: unpaired or paired t-test – Comparing proportions from two independent samples: chi-square test – Correlation and regression
Examination Methods
The written examination will consists of about 25 multiple choice questions with 5-8 possible answers, and one exercise of Statistical Inference on a simple data set. Wrong answers to the written examination will be orally discussed with the student.
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.
Gestione carriere
Graduation
Documents
Title | Info File |
---|---|
Esame di Stato - Esiti prova pratica_13 Novembre 2023 - | pdf, it, 714 KB, 13/11/23 |
Orario Lezioni
Si pubblicano gli orari definitivi delle lezioni relativi al 2° semestre:
La frequenza in aula delle lezioni è obbligatoria ed è prevista per tutti e tre gli anni di corso.
1 ANNO: Aula 3 Lente didattica
2-3 ANNO: Aula 5 lente - e Aule Piastra Odontoiatrica
Documents
Title | Info File |
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LEZIONI IGIENE DENTALE 1ANNO 1 SEMESTRE AA 2023-24 | pdf, it, 34 KB, 26/09/23 |
LEZIONI IGIENE DENTALE 1ANNO 2 SEMESTRE AA 2023-24 | pdf, it, 44 KB, 05/03/24 |
LEZIONI IGIENE DENTALE 2ANNO 1 SEMESTRE AA 2023-24 | pdf, it, 36 KB, 29/09/23 |
LEZIONI IGIENE DENTALE 2ANNO 2 SEMESTRE AA 2023-24 | pdf, it, 33 KB, 05/03/24 |
LEZIONI IGIENE DENTALE 3 ANNO 1 SEMESTRE AA 2023-24 | pdf, it, 30 KB, 26/10/23 |
Calendario Esami
in questa pagina verranno pubblicati i calendari degli esami del Corso di Laurea.
Documents
Title | Info File |
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CALENDARIO ESAMI CLID 1 ANNO 1 SEMESTRE 2023-24 SESSIONE INVERNALE | pdf, it, 99 KB, 01/12/23 |
CALENDARIO ESAMI CLID 1 ANNO 2 SEMESTRE 2023-24 SESSIONE INVERNALE | pdf, it, 72 KB, 19/12/23 |
CALENDARIO ESAMI CLID 2 ANNO 1 SEMESTRE 2023-24 SESSIONE INVERNALE | pdf, it, 93 KB, 21/12/23 |
CALENDARIO ESAMI CLID 3 ANNO 1 SEMESTRE 2023-24 SESSIONE INVERNALE | pdf, it, 90 KB, 20/12/23 |