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 2015/2016 No calendar yet available

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 N P R S T Z

Bazzoni Flavia

flavia.bazzoni@univr.it +39 045 802 7128

Bodini Alessandro

alessandro.bodini@univr.it +39 045 812 7124

Buffelli Mario Rosario

mario.buffelli@univr.it +39 0458027268

Concato Davide

Conforti Anita

anita.conforti@univr.it 045 8027602

Dal Prà Ilaria Pierpaola

ilaria.dalpra@univr.it +39 045 802 7161

Darra Francesca

francesca.darra@univr.it +39 045 812 7869

Ferrari Marcello

marcello.ferrari@univr.it +39 045 8124262

Ferrari Maria Gloria

gloria.ferrari@apss.tn.it +039 0464 453148

Fiorio Mirta

mirta.fiorio@univr.it +39 0458425133

Francesconi Denis

Fratta Pasini Anna Maria

annamaria.frattapasini@univr.it +39 045 8124749

Ghirotto Luca

luca.ghirotto@univr.it

Gotte Giovanni

giovanni.gotte@univr.it 0458027694

Grisenti Rolly

grisenti@science.unitn.it

Locatelli Francesca

francesca.locatelli@univr.it 045 8027655

Mantovani William

william.mantovani@univr.it

Mottes Monica

monica.mottes@univr.it +39 045 8027 184

Raffaeta' Roberta

Romeo Luciano

luciano.romeo@univr.it 045 8124295 - 8124969

Sala Francesco

francesco.sala@univr.it +39 045 812 2695 (segreteria)

Salviati Alessandro

alessandro.salviati@univr.it +39 0458124285

Savazzi Silvia

silvia.savazzi@univr.it +39 0458027691

Sbarbati Andrea

andrea.sbarbati@univr.it +39 045 802 7266

Signoretto Caterina

caterina.signoretto@univr.it 045 802 7195

Tassinari Giancarlo

giancarlo.tassinari@univr.it +39 0458027153

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
7
A/B
BIO/16 ,BIO/17 ,MED/48
6
A/B
BIO/09 ,MED/48
6
A/B
BIO/09 ,M-PSI/01
5
A/B
M-DEA/01 ,MED/36 ,MED/42 ,MED/48
5
A/B
MED/34 ,MED/48 ,M-PED/01
8
A/B
BIO/10 ,BIO/13 ,FIS/07 ,MED/01
3
E/F
L-LIN/12

1° Year

ModulesCreditsTAFSSD
7
A/B
BIO/16 ,BIO/17 ,MED/48
6
A/B
BIO/09 ,MED/48
6
A/B
BIO/09 ,M-PSI/01
5
A/B
M-DEA/01 ,MED/36 ,MED/42 ,MED/48
5
A/B
MED/34 ,MED/48 ,M-PED/01
8
A/B
BIO/10 ,BIO/13 ,FIS/07 ,MED/01
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

4S01837

Credits

8

Coordinatore

Monica Mottes

Location

ROVERETO

The teaching is organized as follows:

BIOLOGIA APPLICATA

Credits

2

Period

TPALL 1° ANNO 1° SEMESTRE AA 2015/16

Academic staff

Not yet assigned

STATISTICA MEDICA

Credits

2

Period

FISIO ROV 1^ ANNO - 1^ SEMESTRE

Academic staff

Francesca Locatelli

FISICA APPLICATA

Credits

2

Period

FISIO ROV 1^ ANNO - 1^ SEMESTRE

Academic staff

Renzo Antolini

BIOCHIMICA

Credits

2

Period

TERP ROV 1^ ANNO - 1^ SEMESTRE

Academic staff

Not yet assigned

Learning outcomes

Module: STATISTICA MEDICA
-------
To collect and synthesize data from a clinical or epidemiological research, give a summary measure and be able to interpret the main statistical results, knowing how to construct and interpret a graphical representation of the summary of the results. Knowing how to interpret confidence intervals and major statistical tests.


Module: BIOCHIMICA
-------
DA INSERIRE ...............................................................


Module: FISICA APPLICATA
-------
The course aims to provide:
• the foundations of the experimental method, which is the basis of modern science and technology disciplines
• basic knowledge (physical quantities and physical laws) of mechanical phenomena, with examples and bioscience applications(biomechanics).
At the end of the course students will apply their knowledge to solve physics problems.


Module: BIOLOGIA APPLICATA
-------
To provide an evolutionary view of human biology, focusing on molecular and
cellular processes shared by all living organisms. To teach the laws of genetic transmission. Students are expected to be able to understand the
consequences of various changes (e.g. mutations) occurring at the cellular level; they should also be able to recognize the different patterns of inheritance. Examples of specific genetic diseases will be discussed

Program

Module: STATISTICA MEDICA
-------
Use of statistics in health data

Collection and presentation
Measurement procedure and Variable types
Precision and accuracy of a measurement procedure
Tables 1 and 2 entries
Absolute and relative frequencies
Cumulative frequencies
Graphical representation of the data

Position and dispersion measures
Mode
Quantiles and median
Simple and weighted mean
Range and standard deviation
Coefficient of variation

Introduction to probability
Definition of probability
Rule of addition and multiplication
Independent and conditional probability

Introduction to statistical inference
The concept of statistical inference
Inference techniques:
Binomial and Gauss distribution, confidence intervals and Hypothesis testing

Diagnostic and screening test:Sensitivity, specificity, positive predictive value of screening


Module: BIOCHIMICA
-------
DA INSERIRE ...............................................................


Module: FISICA APPLICATA
-------
Physical quantities and their measurement.
Definition of a physical quantity. Unit consistency and conversions. Standards and units. Uncertainty and significant figures.
The foundation of classical mechanics.
Forces and motion. Newton’s laws of motion and their application. Motion description: displacement, velocity and acceleration. Work and kinetic energy. Potential energy and energy conservation. Momentum. Torque and angular momentum.
Biomechanics.
Lever systems in the human body. Equilibrium in the human body. Elements of mechanics of movement.


Module: BIOLOGIA APPLICATA
-------
The historical bases of modern biology. General biology of prokaryotes. The evolution of eukaryotes; characteristics of the e. cell; cell cycle and its regulation, mitosis. The molecular bases of inheritance: DNA (structure, replication, other features). Definition of gene. The informational pathway: transcription (in prokaryotes and eukaryotes); mRNA processing, the regulation of gene expression. Chromatin and chromosomes, normal and pathologic human karyotype. Gene dosage and X chromosome inactivation in mammals. Sex determination in the developing embryo.
Mutations: various types; how , where and when do they happen. Mutagens, DNA repair mechanisms.
Somatic mutations and cancer. Sexual reproduction, meiosis, human gametogenesis. Mendel’s laws of inheritance. Association and recombination. Human genetics, how to construct and interpret a pedigree. Genetics of blood groups (AB0, Rh). Examples of autosomal inheritance (dominant and recessive) and X-linked inheritance. Examples of mendelian diseases in man.

Bibliography

Reference texts
Author Title Publishing house Year ISBN Notes
Reece Urry Cain Wasserman Minorsky Jackson Campbell Biologia e Genetica (Edizione 1) Pearson 2015 9788865189320

Examination Methods

Module: STATISTICA MEDICA
-------
The exam consists of a written test consisting of multiple-choice tests and exercises.


Module: BIOCHIMICA
-------
DA INSERIRE ...............................................................


Module: FISICA APPLICATA
-------
Written exam consisting in simple problem solving. After passing the written test an oral examination will assess the understanding of the main concepts and examine the development of the written test.


Module: BIOLOGIA APPLICATA
-------
Written exam with multiple choice quizzes followed by oral discussion

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.

Graduation

Attachments

Title Info File
Doc_Univr_pdf Guida per la stesura della tesi 87 KB, 02/11/21 

Gestione carriere


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