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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
I semestre | Oct 4, 2010 | Jan 31, 2011 |
II semestre | Mar 1, 2011 | Jun 15, 2011 |
Session | From | To |
---|---|---|
Sessione straordinaria | Feb 1, 2011 | Feb 28, 2011 |
Sessione estiva | Jun 16, 2011 | Jul 29, 2011 |
Sessione autunnale | Sep 1, 2011 | Sep 30, 2011 |
Session | From | To |
---|---|---|
Sessione autunnale | Oct 13, 2010 | Oct 13, 2010 |
Sessione straordinaria | Dec 16, 2010 | Dec 16, 2010 |
Sessione invernale | Mar 16, 2011 | Mar 16, 2011 |
Sessione estiva | Jul 20, 2011 | Jul 20, 2011 |
Period | From | To |
---|---|---|
All Saints | Nov 1, 2010 | Nov 1, 2010 |
National holiday | Dec 8, 2010 | Dec 8, 2010 |
Christmas holidays | Dec 22, 2010 | Jan 6, 2011 |
Easter holidays | Apr 22, 2011 | Apr 26, 2011 |
National holiday | Apr 25, 2011 | Apr 25, 2011 |
Labour Day | May 1, 2011 | May 1, 2011 |
Local holiday | May 21, 2011 | May 21, 2011 |
National holiday | Jun 2, 2011 | Jun 2, 2011 |
Summer holidays | Aug 8, 2011 | Aug 15, 2011 |
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.
Academic staff
Cecchi Franco
franco.cecchi@univr.it 045 802 7964 - 7965Gnaccarini Claudio
claudio.gnaccarini@univr.itMarastoni Corrado
maraston@math.unipd.itMazzi Ulderico
ulderico.mazzi@univr.itMinelli Ida Germana
Monaco Ugo Luigi
hugo.monaco@univr.it 045 802 7903; Lab: 045 802 7907 - 045 802 7082Nodari Luca
045 802 7943Spena Angelo
angelo.spena@univr.it 045 683 5623Vallini Giovanni
giovanni.vallini@univr.it 045 802 7098; studio dottorandi: 045 802 7095Study 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 enrollment year.
1° Year
Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2011/2012
Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2012/2013
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
Mathematics and statistics [Cognomi F-O] - STATISTICA (2010/2011)
Teaching code
4S02690
Teacher
Credits
4
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/06 - PROBABILITY AND STATISTICS
Period
I semestre dal Oct 4, 2010 al Jan 31, 2011.
Learning outcomes
This course aims to provide the students with the fundamental of descriptive statistics, inferential statistics and probability theory.
Program
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.
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. |
Examination Methods
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, the student have to get a positive mark in both the tests.
Teaching materials e documents
- 0.1 - Informazioni sul corso (pdf, it, 78 KB, 14/12/10)
- 0.2 - Concetti introduttivi. (pdf, it, 89 KB, 08/11/10)
- 1.1 - Statistica descrittiva I - Serie monovariate: principali rappresentazioni e definizioni di frequenze (pdf, it, 164 KB, 08/11/10)
- 1.2 - Statistica descrittiva II - Serie monovariate: indici sintetici (posizione, variabilità, simmetria e curtosi) e box-plot. (pdf, it, 233 KB, 08/11/10)
- 1.3 - Statistica descrittiva III - Serie bivariate: rappresentazioni tabellari e grafiche, indici sintetici e retta di regressione. (pdf, it, 276 KB, 19/01/11)
- 2.1 - Probabilità I - Calcolo delle probabilità: definizioni introduttive, definzioni di probabilità (classica, assiomatica), probabilità condizionata (pdf, it, 139 KB, 15/11/10)
- 2.2 - Probabilità II - Variabili casuali discrete: definizioni introduttive , valore atteso, varianza, principali vv.cc. (pdf, it, 156 KB, 06/12/10)
- 2.3 - Probabilità III - Variabili casuali continue: indici sinteitici, principali vv.cc., Teorema del limite centrale, distribuzione limite. (pdf, it, 391 KB, 23/11/10)
- 3.1 - Inferenza I - Teoria della stima: problema della stima, proprietà di uno stimatore, stima puntuale, stima per intervallo. (pdf, it, 221 KB, 06/12/10)
- 3.2 - Inferenza II - Test di ipotesi: costruzione di un test, test sul valore atteso, test di aderenza alla distribuzione, test di indipendenza del Pearson. (pdf, it, 240 KB, 24/01/11)
- 8.1 - Esercitazione I - Statistica Descrittiva - Serie Monovariata (pdf, it, 1969 KB, 19/01/11)
- 8.2 - Esercitazione II - Teoria delle probabilità. (pdf, it, 6876 KB, 27/01/11)
- 8.3 - Esercitazione III - Inferenza I: teoria della stima. (pdf, it, 14189 KB, 27/01/11)
- 8.4 - Esercitazione IV - Descrittiva III: serie bivariate e regressione. (pdf, it, 1296 KB, 27/01/11)
- 8.5 - Esercitazione V - Inferenza II: test di ipotesi. (pdf, it, 821 KB, 27/01/11)
- 9.1 - Esercizi proposti - (v3.0) (pdf, it, 587 KB, 19/01/11)
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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Graduation
List of thesis 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 |
Dinamiche della metilazione del DNA e loro contributo durante il processo di maturazione della bacca di vite. | Various topics |
Il problema della donazione degli organi | 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 modes and venues
As stated in the Didactic Regulations, there is no generalised obligation of attendance. Individual lecturers are, however, free to require a minimum number of hours of attendance for eligibilitỳ for the profit exam of the teaching they teach. In such cases, attendance of teaching activities is monitored in accordance with procedures communicated in advance to students.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which is composed of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma cluster, and Villa Lebrecht and Villa Eugenia located in the San Floriano di Valpolicella cluster.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.