Carlos III University of Madrid

This course examines the main directions of contemporary literary movements. It analyzes the relationship between literature and the primary artistic manifestations of contemporary culture, with special attention to audiovisual media. Topics include: writing, gender and identity; identity and images of the other; memory of harm and its representation.

This course offers an in-depth empirical analysis of key issues in contemporary world politics. It examines challenges of international cooperation in response to various growing global issues in the 21st century. Topics include: China and US relations; Post-Soviet Russia and the reconfiguration of Eurasian geopolitics; the European Union and the challenges of a common foreign and security policy.  

This course is a survey of current world geography and the relationship between society and the environment. Topics of study include: techniques for analyzing geographic information; resources, risks, and environmental problems; the demographics of overpopulation and migration; geographical plot techniques; urban spaces; networks and transportation systems; the geographic dimension to globalization; geopolitical theory; and current territorial conflicts.

This course is divided into two parts: Linear algebra and optimization of several variable functions. Part one offers a study of the properties of matrices and determinants and systems of linear equations. Part two discusses the concept of continuity and calculus of several variables (partial derivatives), among other topics. Students solve linear systems of equations, describe the properties of functions, and approximate a function of several variables. They address economic problems by means of abstract models, interpret and classify different solutions, and apply appropriate conclusions to social contexts.

This course offers a study of the fundamentals of data protection and the principles of cybersecurity. Topics include cryptographic techniques to ensure the confidentiality, integrity, and authenticity of data, analysis of vulnerabilities, threats, and attacks in systems and networks, and design and implementation of appropriate defense, detection, and response measures. This course also explores the legal and regulatory frameworks related to data protection and how to apply them in practice.  

This course explores the foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. It focuses on critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. This course also delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.

The curriculum and format are designed specifically for students who have not previously taken statistics or computer science courses. Students with some prior experience in either statistics or computing are welcome to enroll and often find that this course offers a new perspective that blends computational and inferential thinking. Students who have taken several statistics or computer science courses should instead take a more advanced course.

This course provides a study of Spanish artistic movements from the 16th century to today. It analyzes the stylistic characteristic of the Renaissance, Baroque, Romanticism, Cubism, and Surrealism. Particular attention is given to Spanish art within the European context, as well as aspects of patronage or the art market. The course includes examination of fundamental artists such as El Greco, Velázquez, Goya, Picasso, or Dalí, and their works in relation with artists from other areas of Europe.

This course provides a rigorous introduction to programming, abstraction, and the structure of programs. It is designed for students who wish to deepen their understanding of computer science concepts in the context of data science. The primary programming language used is Python; however, the course emphasizes foundational programming ideas, not just language-specific syntax.

It is recommended, but not strictly required, that students have taken a Foundations of Data Science course. There is no formal programming-related prerequisite for this course; students do not need to be familiar with any particular programming language before starting the course.