Sampling techniques for big data

The aim of the course is to introduce the most typical sampling methods to select a sub sample from a Big dataset. In addition, the theory of optimal design will be developed to enable students to select the most informative observations. The course will develop theoretical and computational aspects concerning its implementation.

At the end of the course students will be able to select a sample of informative observations from a Big Dataset, using software R.