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. 2016/2017

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
FISIO ROV 2^ ANNO - 1^ SEMESTRE Oct 3, 2016 Nov 30, 2016
FISIO ROV 1^ ANNO - 1^ SEMESTRE Oct 10, 2016 Dec 16, 2016
FISIO ROV 3^ ANNO - 1^ SEMESTRE Nov 7, 2016 Dec 16, 2016
FISIO ROV 3^ ANNO - 2^ SEMESTRE Dec 19, 2016 Feb 3, 2017
FISIO ROV 2^ ANNO - 2^ SEMESTRE Feb 20, 2017 Mar 31, 2017
FISIO ROV 1^ ANNO - 2^ SEMESTRE Mar 6, 2017 May 12, 2017
Exam sessions
Session From To
FISIO ROV SESSIONE INVERNALE 2 ANNO Dec 12, 2016 Jan 20, 2017
FISIO ROV SESSIONE INVERNALE 1 ANNO Jan 9, 2017 Feb 3, 2017
FISIO ROV SESSIONE INVERNALE 3 ANNO Feb 13, 2017 Feb 24, 2017
FISIO ROV SESSIONE INVERNALE 3 ANNO - 1 Apr 26, 2017 May 12, 2017
FISIO ROV SESSIONE ESTIVA 2 ANNO May 22, 2017 Jun 23, 2017
FISIO ROV SESSIONE ESTIVA 3 ANNO Jul 3, 2017 Jul 31, 2017
FISIO ROV SESSIONE ESTIVA 1 ANNO Jul 3, 2017 Jul 31, 2017
FISIO ROV SESSIONE AUTUNNALE 1 ANNO Sep 1, 2017 Sep 21, 2017
FISIO ROV SESSIONE AUTUNNALE 2 e 3 ANNO Sep 1, 2017 Sep 29, 2017
Degree sessions
Session From To
FISIO SESSIONE AUTUNNALE Nov 1, 2017 Nov 30, 2017
FISIO SESSIONE PRIMAVERILE Mar 1, 2018 Mar 31, 2018
Holidays
Period From To
Festa di Tutti i Santi Nov 1, 2016 Nov 1, 2016
Festa dell'Immacolata Dec 8, 2016 Dec 8, 2016
Vacanze Natalizie Dec 23, 2016 Jan 7, 2017
Vacanze Pasquali Apr 14, 2017 Apr 18, 2017
Festa della liberazione Apr 25, 2017 Apr 25, 2017
Festa dei Lavoratori May 1, 2017 May 1, 2017
Festa della Repubblica Jun 2, 2017 Jun 2, 2017
FESTA DEL SANTO PATRONO Aug 5, 2017 Aug 5, 2017
Vacanze Estive Aug 14, 2017 Aug 19, 2017
Other Periods
Description Period From To
FISIO ROV TIROCINIO 3^ ANNO - 1^ SEM (1 periodo) FISIO ROV TIROCINIO 3^ ANNO - 1^ SEM (1 periodo) Oct 3, 2016 Nov 4, 2016
FISIO ROV TIROCINIO 2^ ANNO - 1^ SEM FISIO ROV TIROCINIO 2^ ANNO - 1^ SEM Jan 23, 2017 Feb 17, 2017
FISIO ROV TIROCINIO 1^ ANNO - 1^ SEM FISIO ROV TIROCINIO 1^ ANNO - 1^ SEM Feb 6, 2017 Mar 3, 2017
FISIO ROV TIROCINIO 3^ ANNO - 1^ SEM (2 periodo) FISIO ROV TIROCINIO 3^ ANNO - 1^ SEM (2 periodo) Feb 27, 2017 Apr 7, 2017
FISIO ROV TIROCINIO 2^ ANNO - 2^ SEM (1 periodo) FISIO ROV TIROCINIO 2^ ANNO - 2^ SEM (1 periodo) Apr 3, 2017 May 12, 2017
FISIO ROV TIROCINIO 3^ ANNO - 2^ SEM (1 periodo) FISIO ROV TIROCINIO 3^ ANNO - 2^ SEM (1 periodo) May 15, 2017 Jun 16, 2017
FISIO ROV TIROCINIO 1^ ANNO - 2^ SEM FISIO ROV TIROCINIO 1^ ANNO - 2^ SEM May 15, 2017 Jun 23, 2017
FISIO ROV TIROCINIO 2^ ANNO - 2^ SEM (2 periodo) FISIO ROV TIROCINIO 2^ ANNO - 2^ SEM (2 periodo) Jun 26, 2017 Jul 21, 2017
FISIO ROV TIROCINIO 3^ ANNO - 2^ SEM (2 periodo) FISIO ROV TIROCINO 3^ ANNO - 2^ SEM (2 periodo) Sep 1, 2017 Sep 29, 2017

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

Carbone Silvia

Concato Davide

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

Fumagalli Guido Francesco

guido.fumagalli@univr.it 045 802 7605 (dipartimento)

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

Narduzzi Pamela

pamela.narduzzi@apss.tn.it

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

Trabetti Elisabetta

elisabetta.trabetti@univr.it 045/8027209

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)
3
E/F
(L-LIN/12)
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)
ModulesCreditsTAFSSD
7
A/B/C
(MED/43 ,MED/44 ,M-PSI/06 ,SECS-P/10 ,SPS/07)
8
A/B
(MED/09 ,MED/10 ,MED/11 ,MED/12 ,MED/48)
6
B
(MED/06 ,MED/09 ,MED/24 ,MED/48)
Prova finale
7
E
(-)

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)
3
E/F
(L-LIN/12)
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° Year

ModulesCreditsTAFSSD
7
A/B/C
(MED/43 ,MED/44 ,M-PSI/06 ,SECS-P/10 ,SPS/07)
8
A/B
(MED/09 ,MED/10 ,MED/11 ,MED/12 ,MED/48)
6
B
(MED/06 ,MED/09 ,MED/24 ,MED/48)
Prova finale
7
E
(-)

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

4S01837

Credits

8

Coordinatore

Elisabetta Trabetti

The teaching is organized as follows:

Biochimica

Credits

2

Period

TERP ROV 1^ ANNO - 1^ SEMESTRE

Academic staff

Giovanni Gotte

Fisica applicata

Credits

2

Period

FISIO ROV 1^ ANNO - 1^ SEMESTRE

Academic staff

Renzo Antolini

Statistica medica

Credits

2

Period

FISIO ROV 1^ ANNO - 1^ SEMESTRE

Academic staff

Francesca Locatelli

Biologia applicata

Credits

2

Period

CLID LEZ 1A 1S

Academic staff

Elisabetta Trabetti

Learning outcomes

------------------------
MM: BIOCHIMICA
------------------------
Basic knowledge of general and organic chemistry preparatory for biochemistry. Structure-function relationship of the most important biological macromolecules and of the metabolic regulation at the molecular level. Cross-talk between the different biochemical pathways and the energy level changes associated.
------------------------
MM: 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.
------------------------
MM: STATISTICA MEDICA
------------------------
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
------------------------
MM: BIOLOGIA APPLICATA
------------------------
The course aims to give basic knowledge about living organism characteristic: procariots, eucariots, viruses, through the acquisition of the fundamental concepts of biology and of the structural, functional and molecular principles of cellular processes. Moreover, it aims to provide the basic knowledge on the fundamental concepts of genetics and transmission of hereditary characters.

Program

------------------------
MM: BIOCHIMICA
------------------------
PREPARATORY CHEMISTRY (several notions are included in the basic knowledge required)
1. Atomic structure and periodic properties of the elements: matter composition, atom, atomic particles; atomic theory; quantum numbers, and orbitals; electronic configuration, periodic table and chemical reactivity of the elements; electronic affinity, electronegativity.
2. The chemical bond: molecules and ions; ionic and covalent bond; intermolecular forces; hydrogen bond.
3. Solutions and acid-base reactions: concentration of the solutions, acid-base theories of Arrhenius and Brőnsted-Lowry; hydracids, hydroxides, oxyacids; acid-base reactions; pH and buffer solutions.
4. Organic chemistry notions: carbon atom properties; hybrid orbitals; organic compounds classification: functional groups; hydrocarbons; alcohols, ethers, thiols, amines, aldehydes and ketones; carboxylic acids, esters, anhydrides.

BIOCHEMISTRY
1. Constitutive elements of the living matter: polymeric structure of the biological macromolecules.
2. Protein structure and function: aminoacid classification, buffering power, peptide bond, levels of protein structure; fibrous and globular proteins; hemoglobin and myoglobin: structure, function, factors influencing the oxygen bond; hemoglobin variants; enzymes: classification, role in the chemical reactions, regulation of the enzymatic activity.
3. Vitamins: hydro- and lypo-soluble vitamins; co-enzymes.
4. Bio-energetics: metabolism; chemical transformations in the cell; spontaneous and non-spontaneous reactions of the metabolic reactions; ATP as “energy exchange coin”; biologically relevant redox reactions.
5. Carbohydrates structure and metabolism: mono- and disaccharides; polysaccharides; glycoconjugates; glycolysis and its regulation; gluconeogenesis; hints of the penthose phosphate pathway; synthesis of the glycogen.
6. Citric acid cycle and oxidative phosphorylation: mitochondria; acetyl-CoA synthesis; citric acid cycle control; respiratory chain and electron transport; ATP synthesis.
7. Lipids structure and metabolism: structural lipids and biological membranes; cholesterol; stock-reserve lipids; lipids digestion and fatty acid β-oxydation; keton bodies formation; hints of fatty acids biosynthesis.
8. Aminoacid metabolism: hints of gluco- and keto-forming aminoacids; transamination and oxidative deamination; the urea cycle.

------------------------
MM: 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.

------------------------
MM: 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

------------------------
MM: BIOLOGIA APPLICATA
------------------------
•Characteristics of the living beings
•Chemistry of living organisms and biological molecules
•Prokaryotic and eukaryotic cell: organization of the cell; internal membranes and compartmentalization; organelles, characteristics and functions: nucleus, ribosomes, RER, REL, Golgi, lysosomes, peroxisomes, cytoskeleton, cell wall, extracellular matrix. Animal and plant cells. Mitochondria and plastids (chloroplasts, amyloplasts, chromoplasts) and endosymbiont theory.
•Biological membranes: structure and proposed models; passage of materials across cell membranes: passive transport (facilitated diffusion and simple), osmosis, directly and indirectly active transport, co-transport. Exocytosis and endocytosis. Anchoring, tight and gap cell junctions in animal and plant cells.
•Cell communication: types of cellular communication: endocrine, paracrine, autocrine and iuxtacrine. Sending and receiving the signal.
•Organization of DNA in chromosomes, mitosis and meiosis. DNA and proteins, nucleosomes, heterochromatin, euchromatin, chromosome condensation. The cell cycle and its regulation. Mitosis, meiosis and sexual reproduction
•DNA and its role in heredity. DNA structure and replication.
•Gene expression: transcription, genetic code and translation. Gene definition.
•DNA mutations and mutagenesis
•Hereditary character transmission and Mendel’s laws; definition of phenotype, genotype, locus, gene, dominant and recessive allele, homozygosity and heterozygosity. Segregation and independent assortment. Independence and association. Crossing-over and recombination. Genetic determination of sex. Gene interactions. Incomplete dominance, condominance, multiple alleles, epistasis and polygeny.
•The human genome: karyotype analysis and pedigrees; autosomal recessive, autosomal dominant, X-linked diseases.

Examination Methods

------------------------
MM: BIOCHIMICA
------------------------
Written test: 10 multiple choice questions (2 points each), plus 2 open questions (0 to 5 points each)
------------------------
MM: 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 conduct of the written test.
------------------------
MM: STATISTICA MEDICA
------------------------
The exam consists of a written test consisting of multiple-choice tests and exercises.
------------------------
MM: BIOLOGIA APPLICATA
------------------------
Written test (multiple choice questions and open-ended questions)

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
Raven PH - Johnson GB Biologia Cellulare + Genetica e Biologia Molecolare Piccin 2012
A. Fiecchi, M. Galli Kienle, A. Scala Chimica e propedeutica biochimica Edi-Ermes  
Luciano BINAGLIA, Bruno GIARDINA CHIMICA e PROPEDEUTICA BIOCHIMICA (con CD-ROM) Ediz. Mc Graw-Hill  
Solomon, Berg, Martin Elementi di Biologia (Edizione 6) EdiSES 2013
Sadava et al. Elementi di Biologia e genetica Bologna, Zanichelli 2014
Docente del corso Fisica: dispense del docente  
Docente del corso Materiale didattico: slides delle lezioni e articoli suggeriti nel programma 2021
Verlato G, Zanolin ME Esercizi di Statistica Medica, Informatica ed Epidemiologia Libreria Cortina Editrice, Verona 2000
Douglas G. Altman Practical Statistics for Medical Research 1990
Lantieri PB, Risso D., Rovida S., Ravera G. Statistica medica ed elementi di informatica. McGraw-Hill Libri Italia srl Milano 1994

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

Attachments

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

Area riservata studenti


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.