FUNDAMENTALS OF PROBABILITY AND STATISTICS

Anno accademico 2020/2021 Programmi anni precedenti
Titolo corso in inglese FUNDAMENTALS OF PROBABILITY AND STATISTICS
Codice insegnamento CM0549 (AF:346475 AR:177594)
Modalità Per la modalità didattica vedi gli orari delle lezioni
Crediti formativi universitari 0
Livello laurea Laurea magistrale (DM270)
Settore scientifico disciplinare SECS-S/01
Periodo I Semestre
Anno corso 1
Sede VENEZIA
Spazio Moodle Link allo spazio del corso
Inquadramento dell'insegnamento nel percorso del corso di studio
The objective of this course is to allow students to recap and/or acquire knowledge and understanding of the main probabilistic and statistical concepts and their use in different disciplines.
In particular, the aim is to provide knowledge of analysis and management of data in order to enable students to develop the necessary skills to structure, process, and statistically analyze data to solve inferential problems.
Risultati di apprendimento attesi
Online lectures with no pre-requirements and exercises. The study and analysis of the reference texts and the suggested materials will allow students to:
1) know and use the main statistical tools necessary for the analysis of various phenomena in their manifestations;
2) know how to interpret a phenomena and provide a related summary;
3) critically evaluate the different scenarios in decision-making processes and in the management of uncertainty.
Prerequisiti
None.
Contenuti
The full course program is as follows:
1) Introduction to statistical methodology.
2) Descriptive statistics in order to be able to interpret and summarize a phenomena through the application of statistical tools (data collection, frequency distributions, statistical indices).
3) Probability theory and random variables as an introduction to statistical inference (basic concepts, conditional probability and stochastic independence, Bayes theorem, common probability distributions).
4) Statistical inference to critically evaluate the different scenarios in a decision-making context (point and interval estimation, hypothesis testing).
5) Study cases: interactions among variables, connection and linear regression.

The program may be subject to changes or addictions.
Testi di riferimento
Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2019). OpenIntro statistics.
Lingua di insegnamento
Inglese
Il programma è ancora provvisorio e potrà subire modifiche.
Data ultima modifica programma
30/09/2020