After being approved in the course, the student should have the ability to:

1. Know and apply bayesian statistical tools.
2. Solve problems of statistical inference.
3. Construct and implement bayesian models computationally, implement it using appropriate software, draw and correctly interpret the conclusions.
4. Analyze the results of the bayesian models.

Curricular Unit Form