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.

A.A. 2021/2022

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
1 e 2 SEMESTRE PROFESSIONI SANITARIE Oct 1, 2021 Sep 30, 2022
1 SEMESTRE PROFESSIONI SANITARIE Oct 1, 2021 Dec 23, 2021
2 SEMESTRE PROFESSIONI SANITARIE Jan 10, 2022 Sep 30, 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 Enrolment FAQs

Academic staff

A B C D F G L M O P S T Z

Aleotti Renata

renata.aleotti@apss.tn.it 0461-364187 364174 o 0464 582475

Baccini Francesca

francesca.baccini@apss.tn.it 0464-403146

Bisoffi Zeno

zeno.bisoffi@sacrocuore.it +390456013326

Bonetti Martina

martina.bonetti@apss.tn.it

Burro Roberto

roberto.burro@univr.it +39 045 802 8911

Campolongo Fulvio

fulvio.campolongo@apss.tn.it

Cazzoletti Lucia

lucia.cazzoletti@univr.it 045 8027656

Faccioni Fiorenzo

fiorenzo.faccioni@ospedaleuniverona.it +39 045 812 4251 - 4868

Gotte Giovanni

giovanni.gotte@univr.it 0458027694

Lombardo Giorgio

giorgio.lombardo@univr.it +39 045 812 4867

Mantovani William

william.mantovani@univr.it

Marchiori Mattia

mattia.marchiori@univr.it

Mariotti Raffaella

raffaella.mariotti@univr.it 0458027164

Pancheri Loredana

info@loredanapancheri.it 0461264569

Pedrolli Carlo

carlo.pedrolli@apss.tn.it 0461903519

Purgato Marianna

marianna.purgato@univr.it +039045 8124884

Scapini Patrizia

patrizia.scapini@univr.it 0458027556

Schweiger Vittorio

vittorio.schweiger@univr.it +39 045 812 4311

Signoretto Caterina

caterina.signoretto@univr.it 045 802 7195

Tam Enrico

enrico.tam@univr.it +39 045 8425149

Trabetti Elisabetta

elisabetta.trabetti@univr.it 045/8027209

Trevisiol Lorenzo

lorenzo.trevisiol@univr.it +39 045 812 4023

Zancanaro Carlo

carlo.zancanaro@univr.it 045 802 7157 (Medicina) - 8425115 (Scienze Motorie)

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.

ModulesCreditsTAFSSD
9
A/B
(MED/28 ,MED/50 ,M-PSI/01)
6
A/B
(MED/04 ,MED/28 ,MED/36)
7
A/B
(MED/07 ,MED/17 ,MED/42 ,MED/44 ,MED/45)
3
E/F
(L-LIN/12)

1° Year

ModulesCreditsTAFSSD
9
A/B
(MED/28 ,MED/50 ,M-PSI/01)
6
A/B
(MED/04 ,MED/28 ,MED/36)
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S000290

Credits

5

Scientific Disciplinary Sector (SSD)

-

Learning outcomes

Training objectives: The course covers the fundamental concepts of medical statistics, in particular descriptive statistics, and an introduction to inferential statistics, hypothesis verification concepts and confidence intervals. Turn a clinical care problem into one or more questions to be asked in the clinical/welfare literature, through the use of databases. A special focus will be on the interpretation of the data using as a tool an information processing software with the aim of highlighting the particularities of use in the clinical-medical field. INFORMATION PROCESSING SYSTEMS MODULE Training objectives: History of the evolution of information processing systems, study of a software tool for information processing with the aim of highlighting the particularities of use in the clinical-medical field. DESCRIPTIVE HEALTH STATISTICS FORM Training objectives: The course covers the fundamental concepts of medical statistics, in particular descriptive statistics, to the concepts of hypothesis verification and confidence intervals. In addition, the course also presents the basic concepts of epidemiology, illustrating prevalence, incidence and association measures. At the end of the course students should be able to:  describe the data, through central trend measures and variability;  appropriately interpret and communicate information about a collective of experimental units or patients, collected as part of clinical or epidemiological research in relation to biomedical phenomena;  know how to construct and interpret a graphical representation of synthesis of the collected data;  know and use the main frequency and association measures in the epidemiological field. Although computational formulas and methods are also presented, special attention will be paid to the interpretation of the data.

Educational offer 2021/2022

The details (teacher, program, exam methods, etc.) will be published in the academic year of delivery of the course. To consult the course sheet of a previous academic year, select the teaching plan of an academic year of enrollment prior to yours.

Methodology for evidence-based practice (2021/2022)

Type D and Type F activities

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.

Gestione carriere


Graduation


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.