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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
Cecchi Franco
franco.cecchi@univr.it 045 802 7964 - 7965
Gnaccarini Claudio
claudio.gnaccarini@univr.it
Marastoni Corrado
maraston@math.unipd.it
Mazzi 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 7943
Spena Angelo
angelo.spena@univr.it 045 683 5623
Vallini 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 enrolment year.
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1° Year
| Modules | Credits | TAF | SSD |
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2° Year
| Modules | Credits | TAF | SSD |
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3° Year
| 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 P-Z] (2010/2011)
Teaching code
4S02690
Credits
12
The teaching is organized as follows:
Matematica
Credits
8
Period
I semestre
Academic staff
Ida Germana
Minelli
Learning outcomes
Module: STATISTICA
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This course aims to provide the students with the fundamental of descriptive statistics, inferential statistics and probability theory.
Module: MATEMATICA
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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.
Program
Module: STATISTICA
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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.
Module: MATEMATICA
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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.
Bibliography
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| D. OLIVIERI | Istituzioni di statistica | CEDAM | 2005 | Testo adatto a chi intende approfondire l'uso della statistica in ambito applicativo. | |
| Navidi | Probabilità e statistica per l'ingegneria e le scienze | McGraw-Hill | 2011 | 978-8-88-3866334-5 | Testo generale. Contiene più di quanto richiesto nel corso |
| Bland | Statistica Medica | Apogeo | Testo adatto a chi intende approfondire l'uso della staitistica nelle discipline mediche. |
Examination Methods
Module: STATISTICA
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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.
Module: MATEMATICA
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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.
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.
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.
