Carlos III University of Madrid

This course offers a critical study of the conditions of cultural production, its formalization as a changing ideological foundation, and the mechanisms of selection, transmission, and reception throughout various historical periods. It explores how classical ideas were preserved and transformed in medieval and Renaissance Europe. This course also discusses the role of gender, education, and politics in shaping culture, from cathedral schools and early universities to humanist learning. It examines how culture was produced and shared and how intellectuals connected knowledge, power, and creativity across the centuries. 

Pre-requisites: Culture in Its Historical Dimension 

This course offers a study of Spain’s history during the Modern Age, from the late Middle Ages to the Enlightenment. It explores political, social, and cultural transformations that shaped Spain’s rise and decline as an empire. This course focuses on the reigns of the Catholic Monarchs and the Habsburgs, Golden Age culture, and Bourbon reformism. It also discusses Spain’s global legacy and its lasting impact on today’s society. 

This course discusses the phenomenon of disinformation and practical skills for verifying information in digital media. Students use specialized sources, tools, and techniques to analyze news, images, videos, and social media content. This course emphasizes ethical and responsible practices in detecting and countering false information (fake news). 

This course examines the historical evolution of communication technologies and their impact on society. It explores topics such as the internet, mobile communication, digital inequality, privacy, and artificial intelligence. This course focuses on developing critical and ethical perspectives toward the use of digital media and understanding the social, economic, and educational effects of digitalization. 

This course offers a study of the key concepts and methods of Statistical Learning by focusing on regression and classification in high-dimensional settings. Students model and analyze complex data, apply supervised and unsupervised learning techniques, and use computational tools for data analysis. This course puts special emphasis on problem formulation, variable selection, and practical implementation using modern software. 

Pre-requisites: Basics of Statistics