Eugenio Cinquemani, Vittorio Perduca (TA)


11 sessions of 4 hours each (2 hours teaching and 2 hours practice per session)


The final grade will be determined on the basis of activities developed in the course and also on a final take-home exam. Evaluation will assess the assimilation of statistical concepts as well as technical skills.

Overview of the class

We will address the subject from the perspective of estimation.  In the beginning of the course, we will overview and discuss descriptive statistics and poll-based experiments to motivate the need for a probabilistic modelling framework and develop a feeling for statistical reasoning. Then, we will discuss commonly used methods of estimation and hypothesis testing (e.g. comparison of means, linear regression, analysis of variance), based on rigorous but simple mathematical developments and emphasis on conceptual issues, and work on their application to example problems in the practical sessions.

Course objectives

First aim is to develop the students’ critical thinking for the connection between statistical reasoning and real-world problems. Second aim is enabling students to determine appropriate methods for the analysis of different datasets, starting from a toolkit of common inference techniques.