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. 2011/2012

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
I semestre Oct 3, 2011 Jan 31, 2012
II semestre Mar 1, 2012 Jun 15, 2012
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2012 Feb 29, 2012
Sessione estiva Jun 18, 2012 Jul 31, 2012
Sessione autunnale Sep 3, 2012 Sep 28, 2012
Degree sessions
Session From To
Sessione autunnale Oct 12, 2011 Oct 12, 2011
Sessione straordinaria Dec 15, 2011 Dec 15, 2011
Sessione invernale Mar 14, 2012 Mar 14, 2012
Sessione estiva Jul 18, 2012 Jul 18, 2012
Holidays
Period From To
Festa di Ognissanti Nov 1, 2011 Nov 1, 2011
Festa dell'Immacolata Concezione Dec 8, 2011 Dec 8, 2011
Vacanze Natalizie Dec 22, 2011 Jan 6, 2012
Vacanze Pasquali Apr 5, 2012 Apr 10, 2012
Festa della Liberazione Apr 25, 2012 Apr 25, 2012
Festa del Lavoro May 1, 2012 May 1, 2012
Festa del Patrono di Verona S. Zeno May 21, 2012 May 21, 2012
Festa della Repubblica Jun 2, 2012 Jun 2, 2012
Vacanze estive Aug 8, 2012 Aug 15, 2012

Exam calendar

Exam dates and rounds are managed by the relevant Science and Engineering 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 L M P R S V

Assfalg Michael

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

Astegno Alessandra

alessandra.astegno@univr.it 045802 7955

Bassi Roberto

roberto.bassi@univr.it 045 802 7916; Lab: 045 802 7915

Bettinelli Marco Giovanni

marco.bettinelli@univr.it 045 802 7902

Buffelli Mario Rosario

mario.buffelli@univr.it +39 0458027268
foto,  March 16, 2015

Cecchi Franco

franco.cecchi@univr.it 045 802 7964 - 7965

Crimi Massimo

massimo.crimi@univr.it 045 802 7924; Lab: 045 802 7050

Dall'Osto Luca

luca.dallosto@univr.it +39 045 802 7806

Delledonne Massimo

massimo.delledonne@univr.it 045 802 7962; Lab: 045 802 7058

Dell'Orco Daniele

daniele.dellorco@univr.it +39 045 802 7637

Dominici Paola

paola.dominici@univr.it 045 802 7966; Lab: 045 802 7956-7086

D'Onofrio Mariapina

mariapina.donofrio@univr.it 045 802 7801

Drago Nicola

nicola.drago@univr.it 045 802 7081

Furini Antonella

antonella.furini@univr.it 045 802 7950; Lab: 045 802 7043

Lampis Silvia

silvia.lampis@univr.it 045 802 7095

Marastoni Corrado

maraston@math.unipd.it

Marzola Pasquina

pasquina.marzola@univr.it 045 802 7816 (ufficio); 045 802 7614 (laboratorio)

Molesini Barbara

barbara.molesini@univr.it 045 802 7550
Foto,  April 9, 2014

Monaco Ugo Luigi

hugo.monaco@univr.it 045 802 7903; Lab: 045 802 7907 - 045 802 7082

Perduca Massimiliano

massimiliano.perduca@univr.it +39 045 802 7984

Romeo Alessandro

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

Spena Angelo

angelo.spena@univr.it 045 683 5623
Foto personale,  July 18, 2012

Vallini Giovanni

giovanni.vallini@univr.it 045 802 7098; studio dottorandi: 045 802 7095

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
12
B
(BIO/11)
6
C
(CHIM/02)
6
B
(BIO/18)

1° Year

ModulesCreditsTAFSSD
12
B
(BIO/04)
9
A
(CHIM/06)
6
A
(FIS/07)
12
A
(MAT/05 ,MAT/06)

2° Year

ModulesCreditsTAFSSD
12
B
(BIO/11)
6
C
(CHIM/02)
6
B
(BIO/18)

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

4S02690

Credits

12

Coordinatore

Corrado Marastoni

The teaching is organized as follows:

Statistica

Credits

4

Period

I semestre

Academic staff

Federico Di Palma

Matematica

Credits

8

Period

I semestre

Academic staff

Corrado Marastoni

Learning outcomes

Module: MATEMATICA
-------
This course aims at providing the students with the mathematical tools (set-theoretic and algebraic structures, differential and integral calculus in one or several real variables, ordinary differential equations) whose knowledge is indispensable for the achievement of the degree. A particular attention is paid to the concrete application of the learned notions.


Module: STATISTICA
-------
This course aims to provide the students with the fundamental of descriptive statistics, inferential statistics and probability theory.

Program

Module: MATEMATICA
-------
Algebra. Sets, relations and functions. Real numbers. Linear algebra (affine geometry).
Functions of one real variable. Generalities. The topology of the real line, of the extended real line and of affine spaces. Limits, continuity and local behaviour. Derivation. Drawing the graph of a function. Integration.
Functions of several real variables and differential equations. Functions of two or more real variables: generalities, partial derivatives, differential. Ordinary differential equations: the linear case, the separable variables case.


Module: STATISTICA
-------
Part I) descriptive statistics.
Univariate statistics: main chart (pie chart, bar chart, histogram e box-plot), measures of location (mean, mode and median), measure of spread (range, interquartile range, variance, standard deviation), measure of asymmetry (third moment, skewness index, Pearson's skewness coefficient) measure of kurtosis (fourth moment, kurtosis, excess kurtosis).
Bivariate statistics: main representations (contingency tables e shattered plots), main measures (mean, variance and covariance), correlation analysis (linear regression and Pearson's correlation coefficient).

Part II) Probability theory
Probability: probability definition (classic and modern), event taxonomy (independent events, mutually exclusive events, complementary event, union event and intersection event). Conditional probability. Probability of notable events.
Random variables: discrete random variable (discrete probability distribution, expected value and variance), continuous random variable (probability density function, expected value and variance), main continuous distributions (uniform, gaussian, standard normal and chi-square).main discrete distributions (binomial and Bernoulli), central limit theorem, Chebyshev’s inequality, convergence in law of random variables and limit random variable.

Part III) Inferential Statistics.
Estimation theory: estimation problem, main properties of an estimator (unbiased, consistency and efficiency). point estimation (expected value and variance), interval estimation (expected value and variance).
Hypothesis test: Problem statement (first type and second type error, theoretical distribution), testing process, chi-square based independence test.

Part IV) Laboratory
Spreadsheet fundamental: scope and main software. Cells main properties: value, format, absolute and relative reference. Calc for basic statistics: single and double entry table, bar plot, shatter plot and linear regression plot.

Examination Methods

Module: MATEMATICA
-------
Written test


Module: STATISTICA
-------
The exam requires two tests. The former test is composed by close questions while the latter is composed by open questions and exercises. To pass the exam, a student has to get a positive mark in both the tests.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
D. OLIVIERI Istituzioni di statistica CEDAM 2005 Testo ad un livello di approfondimento superiore a quello presente nel corso
Navidi Probabilità e statistica per l'ingegneria e le scienze McGraw-Hill 2011 978-8-88-3866334-5 Testo adatto a chi intende approfondire l'uso della statistica in ambito applicativo
Bland Statistica Medica Apogeo   Testo adatto a chi intende approfondire l'uso della staitistica nelle discipline mediche

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.

Graduation

List of theses and work experience proposals

theses proposals Research area
Studio delle proprietà di luminescenza di lantanidi in matrici proteiche Synthetic Chemistry and Materials: Materials synthesis, structure-properties relations, functional and advanced materials, molecular architecture, organic chemistry - Colloid chemistry
Multifunctional organic-inorganic hybrid nanomaterials for applications in Biotechnology and Green Chemistry Synthetic Chemistry and Materials: Materials synthesis, structure-properties relations, functional and advanced materials, molecular architecture, organic chemistry - New materials: oxides, alloys, composite, organic-inorganic hybrid, nanoparticles
Stampa 3D di nanocompositi polimerici luminescenti per applicazioni in Nanomedicina Synthetic Chemistry and Materials: Materials synthesis, structure-properties relations, functional and advanced materials, molecular architecture, organic chemistry - New materials: oxides, alloys, composite, organic-inorganic hybrid, nanoparticles
Dinamiche della metilazione del DNA e loro contributo durante il processo di maturazione della bacca di vite. Various topics
Risposte trascrittomiche a sollecitazioni ambientali in vite Various topics
Studio delle basi genomico-funzionali del processo di embriogenesi somatica in vite Various topics

Attendance

As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance is not mandatory. However, professors may require students to attend lectures for a minimum of hours in order to be able to take the module exam, in which case the methods that will be used to check attendance will be explained at the beginning of the module. 
Please refer to the Crisis Unit's latest updates for the mode of teaching.

Gestione carriere


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.