At the end of the training program, the student must be able to:
Translate, into probabilistic terms, the problems that arise in experimental contexts under uncertainty.
Calculate the main measurements and functions associated with the random variables that describe an experiment, as well as their associated probabilities.
Describe samples of experimental data.
Interpret the results obtained through inferential techniques from observed samples.
Calculate and interpret the measurements associated with a stochastic process.
Describe the behavior of a queue based on its associated parameters.
