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. 2009/2010

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
1st Semester Oct 1, 2009 Jan 31, 2010
2nd Semester Mar 1, 2010 Jun 15, 2010
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2010 Feb 28, 2010
Sessione estiva Jun 16, 2010 Jul 31, 2010
Sessione autunnale Sep 1, 2010 Sep 30, 2010
Degree sessions
Session From To
Sessione autunnale Oct 14, 2009 Oct 14, 2009
Sessione straordinaria Dec 16, 2009 Dec 16, 2009
Sessione invernale Mar 10, 2010 Mar 10, 2010
Sessione estiva Jul 21, 2010 Jul 21, 2010
Holidays
Period From To
Festa di Ognissanti Nov 1, 2009 Nov 1, 2009
Festa dell'Immacolata Concezione Dec 8, 2009 Dec 8, 2009
Vacanze Natalizie Dec 21, 2009 Jan 6, 2010
Vacanze Pasquali Apr 2, 2010 Apr 6, 2010
Festa della Liberazione Apr 25, 2010 Apr 25, 2010
Festa del Lavoro May 1, 2010 May 1, 2010
Festa del Santo Patrono May 21, 2010 May 21, 2010
Festa della Repubblica Jun 2, 2010 Jun 2, 2010
Vacanze Estive Aug 9, 2010 Aug 15, 2010

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 G L M P R S V

Assfalg Michael

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

Bassi Roberto

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

Bettinelli Marco Giovanni

marco.bettinelli@univr.it 045 802 7902

Bossi Alessandra Maria

alessandramaria.bossi@univr.it 045 802 7946 (Studio) - 045 802 7833 (Laboratorio)

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

Delledonne Massimo

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

Dominici Paola

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

Drago Nicola

nicola.drago@univr.it 045 802 7081

Furini Antonella

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

Giorgetti Alejandro

alejandro.giorgetti@univr.it 045 802 7982

Gobbi Bruno

bruno.gobbi@univr.it

Lampis Silvia

silvia.lampis@univr.it 045 802 7095

Marastoni Corrado

maraston@math.unipd.it

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

1° Year

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

2° Year

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

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:

Matematica (i)

Credits

8

Period

1st Semester

Academic staff

Corrado Marastoni

Statistica (i)

Credits

4

Period

1st Semester

Academic staff

Bruno Gobbi

Learning outcomes

Module: MATEMATICA (I)
-------
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 (I)
-------
The course aims to provide a methodology of quantitative analysis based on observation, collection and processing of collective phenomena. In particular, the issues are treated on analysis of data, the design and construction of in-vestigations and trials in different sectors, for descriptive, interpretative and decision-making purposes.

Program

Module: MATEMATICA (I)
-------
[Part 1: Algebra.] Sets, relations and functions. Real numbers. Linear algebra (affine geometry).
[Part 2: 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.
[Part 3: 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 (I)
-------
Statistics and its applications: content and applications of statistics, the origin and the evolution of statistics, the statistical sources and the graphical repre-sentations.

The means: the arithmetic mean, the harmonic mean, the geometric mean, the square mean, the cubic mean and power means; the median, the other medium position: quartiles, percentiles quantiles; the mode; final comments.

The index numbers and other statistical reports: the comparison of statistical data, statistical reports, indices ratios, the based fixed and mobile index num-bers, the change of the basis of the index numbers, the index numbers for the monetary adjustment.

The indices of variability: the variability; ranges of variation, the range, the difference range; difference from an average; the average of the deviations, the average of the squares, the variance, the variance of a linear transforma-tion, of the sum of variables, of groups of variables; standardization; relative indices of variability.

The study of relations between phenomena, the phases of the analytical repre-sentation, the bivariate model, the method of least squares, the linear regres-sion, the linear correlation coefficient, other considerations about the linear correlation coefficient, the regression line in the weighted distributions, the co-efficient of determination, the significance of the linear correlation coefficient.

Relations between mutabilities, the observed distribution of two phenomena, distribution theory, the comparison between the observed and the theoretical model, a measure of the connection.

Examination Methods

Module: MATEMATICA (I)
-------
Written test


Module: STATISTICA (I)
-------
Written test

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
Biologia e proprietà immunologiche delle cellule staminali fetali Various topics
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

Gestione carriere


Modalità di frequenza

Come riportato al punto 25 del Regolamento Didattico per l'A.A. 2021/2022, non è previsto un obbligo generalizzato di frequenza. I singoli docenti sono tuttavia liberi di richiedere un minimo di ore di frequenza per  l’ammissibilità̀ all’esame di profitto dell’insegnamento di cui sono titolari. In tal caso il controllo della frequenza alle attività didattiche è stabilito secondo modalità preventivamente comunicate agli 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.