Probability spaces.
Independence and conditional probability.
Bayes' rule.
Random variables. Distribution, mass and probability density functions.
Discrete and continuous parametric models.
Multivariate regression.
Learning activities and methodology
Teaching presentations accompanied by electronic material, such as digital presentations
e-learning activities
Theoretical-practical lessons, synchronous teaching tutorials
Team work
Individual student work
Home works and
Assessment System
% end-of-term-examination 0
% of continuous assessment (assigments, laboratory, practicals...) 100
