FUNDAMENTALS OF PROBABILITY AND STATISTICS

Academic year 2020/2021 Syllabus of previous years
Official course title FUNDAMENTALS OF PROBABILITY AND STATISTICS
Course code CM0549 (AF:336756 AR:177594)
Modality On campus classes
ECTS credits 0
Degree level Master's Degree Programme (DM270)
Educational sector code SECS-S/01
Period 1st Semester
Course year 1
Where VENEZIA
Spazio Moodle Link allo spazio del corso
Contribution of the course to the overall degree programme goals
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.
Expected learning outcomes
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.
Pre-requirements
None.
Contents
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.
Referral texts
Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2019). OpenIntro statistics.
Teaching language
English
This programme is provvisional and there could still be changes in its contents.
Last update of the programme
30/09/2020