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 |
---|---|---|
First semester | Sep 26, 2011 | Dec 22, 2011 |
Second semester | Feb 27, 2012 | May 25, 2012 |
Session | From | To |
---|---|---|
Sessione invernale | Jan 9, 2012 | Feb 24, 2012 |
Sessione saperi minimi logico-matematici (aprile) | Apr 1, 2012 | Apr 30, 2012 |
Sessione estiva | May 28, 2012 | Jul 6, 2012 |
Sessione autunnale | Aug 27, 2012 | Sep 21, 2012 |
Session | From | To |
---|---|---|
Sessione autunnale | Nov 24, 2011 | Nov 25, 2012 |
Sessione invernale | Apr 11, 2012 | Apr 13, 2012 |
Sessione estiva | Jul 26, 2012 | Dec 27, 2012 |
Period | From | To |
---|---|---|
Liberazione | Apr 25, 2011 | Apr 25, 2011 |
Festa di Ognissanti | Nov 1, 2011 | Nov 1, 2011 |
Immacolata | Dec 8, 2011 | Dec 8, 2011 |
Vacanze natalizie | Dec 23, 2011 | Jan 6, 2012 |
Vacanze Pasquali | Apr 5, 2012 | Apr 10, 2012 |
Festa dei Lavoratori | May 1, 2012 | May 1, 2012 |
Ricorrenza del Santo Patrono | May 21, 2012 | May 21, 2012 |
Vacanze estive | Aug 8, 2012 | Aug 15, 2012 |
Exam calendar
Exam dates and rounds are managed by the relevant Economics 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
Magazzini Laura
laura.magazzini@univr.it 045 8028525Study 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
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2° Year activated in the A.Y. 2012/2013
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3° Year activated in the A.Y. 2013/2014
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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.
Statistics (2012/2013)
Teaching code
4S00121
Credits
9
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/01 - STATISTICS
The teaching is organized as follows:
lezione
esercitazione
Learning outcomes
The course provides to students in economic and business sciences an introduction to probability and to descriptive and inferential statistics.
Prerequisite to the course is the mastering of a few basic mathematical concepts such as limit, derivative and integration at the level of an undergraduate first year introductory course in calculus.
Program
Descriptive Statistics: data collection and classification; data types; frequency distributions; histograms and charts; measures of central tendency; arithmetic mean, geometric mean and harmonic mean; median; quartiles and percentiles; fixed and varying base indices; Laspayres and Paasche indices; variability and measures of dispersion; variance and standard deviation; coefficient of variation; moments; indices of skewness and kurtosis; multivariate distributions; scatterplots; covariance; variance of the sum of more variables; method of least squares; least-squares regression line; Pearson’s coefficient of linear correlation r; Cauchy-Schwarz inequality; R-square coefficiente; deviance residual and deviance explained; multivariate frequency distributions; conditional distributions; chi-squared index of dependence; index of association C; Simpson’s paradox.
Probability: events, probability spaces and event trees; combinatorics; conditional probability; independence; Bayes theorem; discrete and continuous random variables; distribution function; expectation and variance; Markov and Tchebycheff inequalities; discrete uniform distribution; Bernoulli distribution; binomial distribution; Poisson distribution; geometric distribution; continuous uniform distribution; normal distribution; exponential distribution; multivariate discrete random variables; joint probability distribution; marginal and conditional probability distributions; independence; covariance; correlation coefficient; linear combinations of random variables; average of random variables; weak law of large numbers; Bernoulli’s law of large numbers for relative frequencies; central limit theorem.
Inferential Statistics: sample statistics and sampling distributions; chi-square distribution; Student-t distribution; Snedecors-F distribution; point estimates and estimators; unbiasedness; efficiency; consistency; estimate of the mean, of a proportion and of a variance; confidence intervals for a mean, for a proportion (large samples) and for a variance; hypothesis testing; one and two tails tests for a mean, for a proportion (large samples) and for a variance; hypothesis testing for differences in two means, two proportions (large samples) and two variances.
The course consists of a series of lectures (56 hours) and of twelve exercise classes (24 hours).
All classes are essential to a proper understanding of the topics of the course.
The working language is Italian.
Bibliography
Activity | Author | Title | Publishing house | Year | ISBN | Notes |
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lezione | M. R. Middleton | Analisi statistica con Excel | Apogeo, Milano | 2004 | ||
lezione | F. P. Borazzo, P. Perchinunno | Analisi statistiche con Excel | Pearson, Education | 2007 | ||
lezione | S. Bernstein, R. Bernstein | Calcolo delle Probabilita', Collana Schaum's, numero 110. | McGraw-Hill, Milano | 2003 | ||
lezione | E. Battistini | Probabilità e statistica: un approccio interattivo con Excel | McGraw-Hill, Milano | 2004 | ||
lezione | D. Piccolo | Statistica | Il Mulino | 2000 | 8815075968 | |
lezione | S. Bernstein, R. Bernstein | Statistica descrittiva, Collana Schaum's, numero 109 | McGraw-Hill, Milano | 2003 | ||
lezione | S. Bernstein, R. Bernstein | Statistica inferenziale, Collana Schaum's, numero 111. | McGraw-Hill, Milano | 2003 | ||
lezione | D. Piccolo | Statistica per le decisioni | Il Mulino | 2004 | 8815097708 | |
lezione | G. Cicchitelli | Statistica: principi e metodi (Edizione 2) | Pearson Italia, Milano | 2012 | Libro di testo |
Examination Methods
The course is considered completed if the candidate has passed the two parts of the written test.
Students must receive at least 15 out of 30 in both parts of the written test.
Teaching materials e documents
- 01) Informazioni sul corso (it, 51 KB, 27/09/12)
- 02) Vecchia offerta formativa: Commissioni di esame (it, 49 KB, 28/09/12)
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 |
---|---|
Tesi di laurea - Il credit scoring | Statistics - Foundational and philosophical topics |
La performance delle imprese che adottano politiche di Corporate Social responsibility | Various topics |
La previsione della qualita' dei vini: Il caso dell'Amarone | Various topics |
Proposte di tesi | Various topics |
Tesi in Macroeconomia | Various topics |
tesi triennali | Various topics |
Student mentoring
Linguistic training CLA
Gestione carriere
Internships
The curriculum of the three-year degree courses (CdL) and master's degree courses (CdLM) in the economics area includes an internship as a compulsory training activity. Indeed, the internship is considered an appropriate tool for acquiring professional skills and abilities and for facilitating the choice of a future professional outlet that aligns with one's expectations, aptitudes, and aspirations. The student can acquire further competencies and interpersonal skills through practical experience in a work environment.