Probabilistic Inference and Forecasting in the Sciences (6 credits)
  (G. D'Agostini)

The course will cover th foundamental aspects of probability theory
and its application to inference and forecasting, mainly in Physics,
although the ideas and methods presented are of general applications
in all 'sciences', including e.g. forensic science and artificial
intelligence. A typical application will be the quantification of
uncertainty in measurements. Exact methods (when possible) will
be presented, but also numerical and Monte Carlo based methods
will be described.
For further details see the seb site of the course:
  https://www.roma1.infn.it/~dagos/dott-prob_38/index.html