Spain

This course covers statistical inference in one population, key concepts in hypothesis testing, issues of comparing two populations, concepts of the simple linear regression model, and use of statistical software to perform analyses. Prerequisite: introductory course in statistics.

This course examines population health and well-being consequences of demographic changes from an interdisciplinary approach, including sociological, demographic, economic, and political science, particularly in developed countries.

This course provides a study of the basic principles of language and models for the analysis of languages. It covers the conceptual and methodological instruments used to analyze the morphosyntactic, semantic, and discursive structures and functions of language.

This course discusses advanced concepts in machine learning. Topics include: nonlinear classification and regression; Kernel methods; Ensemble methods; Gaussian Processes for classification and regression; unsupervised learning; graphical models; latent variable models; Bayesian non-parametrics; multi-task learning; transfer learning. 

This course offers an introduction to neuropsychology and the primary methods used within the field. Topics include: attention; memory; perception and movement; executive function; neuropsychological rehabilitation.