Random experiments, events, axiomatic foundation of the concept of probability, finite sample spaces, probability of association of events, bounded probability, statistical independence, random variables (unidimensional and multidimensional, discrete and continuous), probability distribution and density functions, functions of a random variable, parameters of random distributions of variables (mean, dispersion and standard deviation, moments), probabilistic inequalities (Markov, Chebyshev, Jensen), probabilistic and moment-generating functions, some special one-dimensional distributions (binomial, Poisson, hypergeometric, geometric, uniform, normal, exponential, etc.). Elements of statistics (descriptive statistics, sampling theory and sampling distributions, point estimation methods, confidence intervals, hypothesis testing, linear regression).