Probability (2018/2019)

Course code
Name of lecturer
Francesco Giuseppe Cordoni
Francesco Giuseppe Cordoni
Number of ECTS credits allocated
Academic sector
Language of instruction
II semestre dal Mar 4, 2019 al Jun 14, 2019.

Lesson timetable

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Learning outcomes

The course introduces basic concepts of probability theory, with particular emphasis on its formal description starting from its axiomatization due to A. Kolmogorov.

The course aims to provide the notions needed in order to understand and apply in complete autonomy the theory that lies behind probability in various problems of both physics and daily life.

No special notions will be required, the student must have learned the mathematical methodology on which the first year of the bachelor degree is based.


1) Probability spaces: introduction to different notions of probability, probability axiomatization, recalls of measure theory, sample space and events, first consequences of the axioms of probability, conditional probability, Bayes theorem and total probability theorem, independence of events;

2) Discrete random variables: definition and motivation of the notion of random variable, discrete random variables, mean and variance of random variables and functions of random variable, notable random variables and their properties: Bernoulli, binomial, Poisson, geometric and hypergeometric, joint laws and covariance;

3) Continuous random variables: definition of (absolutely) continuous random variables, mean, variance and moments of continuous random variable, notable random variables and their properties: uniform, normal, exponential, Gamma, Beta, Cauchy and Maxwell-Boltzmann , joint density function, conditional expectation and multivariate Gaussian laws;

4) Convergence and approximation: Markov and Chebyshev's inequality, law (weak and strong) of large numbers, convergence in law and probability, central limit theorem.

Reference books
Author Title Publisher Year ISBN Note
P. Baldi Calcolo delle Probabilità McGraw Hill 2007 9788838663659

Assessment methods and criteria

The final exam consists of a written exam followed, in case the written exam is passed, by an oral examination .