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
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.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

B C D L M N P R S Z

Bertoldi Mariarita

symbol email mita.bertoldi@univr.it symbol phone-number 0458027671

Burro Roberto

symbol email roberto.burro@univr.it symbol phone-number +39 045 802 8743

Carrara Elena

symbol email elena.carrara@univr.it

Ciccocioppo Rachele

symbol email rachele.ciccocioppo@univr.it symbol phone-number 045 8124466

D'Agostino Antonio

symbol email antonio.dagostino@univr.it symbol phone-number +39 045 812 4023

Darra Francesca

symbol email francesca.darra@univr.it symbol phone-number +39 045 812 7869

Locatelli Francesca

symbol email francesca.locatelli@univr.it symbol phone-number +39 045 8027655

Lombardo Giorgio

symbol email giorgio.lombardo@univr.it symbol phone-number +39 045 812 4867

Maffeis Claudio

symbol email claudio.maffeis@univr.it symbol phone-number +39 045 812 7664

Malchiodi Luciano

symbol email luciano.malchiodi@univr.it symbol phone-number +39 045 812 4855

Mariotti Raffaella

symbol email raffaella.mariotti@univr.it symbol phone-number 0458027164

Monaco Maria Grazia Lourdes

symbol email mariagrazialourdes.monaco@univr.it symbol phone-number +390458123946-4283

Nadalet Sylvain Giovanni

symbol email sylvain.nadalet@univr.it symbol phone-number +39 045 8425348

Pardo Alessia

symbol email alessia.pardo@univr.it

Pizzini Francesca Benedetta

symbol email francescabenedetta.pizzini@univr.it symbol phone-number 00390458124301

Raniero Dario

symbol email dario.raniero@univr,.it symbol phone-number 0458027503

Sangalli Antonella

symbol email antonella.sangalli@univr.it symbol phone-number +39 045 8027207

Scapini Patrizia

symbol email patrizia.scapini@univr.it symbol phone-number 0458027556

Schweiger Vittorio

symbol email vittorio.schweiger@univr.it symbol phone-number +39 045 812 4311

Signoretto Caterina

symbol email caterina.signoretto@univr.it symbol phone-number 045 802 7195

Zerman Nicoletta

symbol email nicoletta.zerman@univr.it symbol phone-number + 39 045 812 4251 - 4857

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

ModulesCreditsTAFSSD
9
A/B
MED/28 ,MED/50 ,M-PSI/01 ,M-PSI/04
8
A/B
MED/04 ,MED/28 ,MED/36 ,MED/50
7
A/B
MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45
3
E/F
L-LIN/12

2° Year  activated in the A.Y. 2014/2015

ModulesCreditsTAFSSD
4
B
MED/28 ,MED/50

3° Year  activated in the A.Y. 2015/2016

ModulesCreditsTAFSSD
Prova finale
7
E
-
ModulesCreditsTAFSSD
9
A/B
MED/28 ,MED/50 ,M-PSI/01 ,M-PSI/04
8
A/B
MED/04 ,MED/28 ,MED/36 ,MED/50
7
A/B
MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45
3
E/F
L-LIN/12

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

4S000290

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.

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 soon also via the Univr app.

Gestione carriere


Graduation

Documents

Title Info File
File pdf 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


Calendario Esami

in questa pagina verranno pubblicati i calendari degli esami del Corso di Laurea.

 

 

 

 

 

Documents


Student login and resources