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..

For the year 2022/2023 No calendar yet available

Exam calendar

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 F M N P R V

Artegiani Elisa

elisa.artegiani@univr.it

Assfalg Michael

michael.assfalg@univr.it +39 045 802 7949

Bertoldi Mariarita

mita.bertoldi@univr.it 0458027671

Busti Fabiana

fabiana.busti@univr.it +39 045 812 6633

Cazzoletti Lucia

lucia.cazzoletti@univr.it 045 8027656

Fiammengo Roberto

roberto.fiammengo@univr.it 0458027038

Mazzali Gloria

gloria.mazzali@aovr.veneto.it +39 045 807 3577

Nardon Chiara

chiara.nardon@univr.it

Piccinelli Fabio

fabio.piccinelli@univr.it +39 045 802 7097

Pietrobelli Angelo

angelo.pietrobelli@univr.it +39 045 812 7125

Pogliaghi Silvia

silvia.pogliaghi@univr.it 045 8425128

Romeo Alessandro

alessandro.romeo@univr.it +39 045 802 7974-7936; Lab: +39 045 802 7808

Verlato Giuseppe

giuseppe.verlato@univr.it 045 8027628

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
C
AGR/15 ,CHIM/08
1 module among the following
9
C
MED/12 ,MED/13 ,MED/14
1 module among the following
6
C
MED/35
Training
7
F
-
Final exam
4
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°

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

4S010589

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

MED/01 - MEDICAL STATISTICS

Period

Not yet assigned

Learning objectives

The course in theoretical and applied Medical Statistics andEpidemiology aims at providing students with basic statistical knowledge, necessary to correctly interpret quantitative data from groups of individuals, by separating general mathematical laws from inter-individual variability. For this purpose, the main concepts of descriptive statistics, probability theory and inferential statistics will be presented, along with the main elements of descriptive, analytic and evaluative epidemiology. The illustration of statistical and epidemiological theory will be integrated with computer practice, where students will be asked to solve simple exercises by using a spreadsheet or freely available simple statistical software. Statistical and epidemiological methods will be applied to the health sciences, with particular focus on human nutrition. On completion of the course, the student should be able to appropriately describe the information collected on a group of patients, generalize the information provided by a sample to the source population, estimate disease frequency in human populations and evaluate related risk factors, particularly in the nutritional field.

Examination methods The exam consists of a written verification also with exercises of the level of knowledge on the course topics.
To pass the exam, students will have to prove their understanding of basic statistical and epidemiological concepts. In addition, students will be asked to solve simple exercises in the nutritional field, by applying statistical-epidemiological methods. Students will be asked not only to correctly perform.

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.

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