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This course analyzes the forms in which contemporary narratives construct social imaginaries that contribute to the development of identities and perspectives, as well as discussing contemporary narrative theories.
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This course on machine learning applications is divided into 3 thematic blocks: techniques for data adapting and cleaning; natural language processing; recommendations systems.
Recommended prerequisites: Calculus I and II, Linear Algebra, Probability and Data Analysis, Programming and Data Structures and Algorithms, Statistical Learning, Machine Learning I and II.
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This course provides a study of the international art trade. Topics include: the international art market; international art auctions; international art loans; black market; international thefts of works of art; illegal export of works of art.
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COURSE DETAIL
The class presents a historical analysis of economic events and changes. Topics include: modern economic growth; population and natural resources; markets and institutions; technological change and economic growth; the modern firm; globalization; the modern state and economic growth.
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This courses analyzes the ways in which culture and science, as particular forms of culture, interacted and mutually shaped one another throughout history. Topics include: science and technology in culture; space as cultural and scientific matter; time as cultural and scientific matter; the cultural impact of the Scientific Revolution; Industrial Revolution, Romanticism, and the concept of nature; the crisis of science and its cultural import; science and culture in a digital environment.
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COURSE DETAIL
This course examines the roll of databases in an Information System. Topics include: data life cycle; data modeling-- describing data at different levels; components of a database management system (DBMS); relational data model; use of a declarative query language-- SQL; data governance and information management roles; managing unstructured data-- SQL and noSQL databases.
COURSE DETAIL
COURSE DETAIL
This course provides research training for students through placement in a laboratory at Carlos III University of Madrid. Students carry out an original research project under the supervision and guidance of assigned faculty members. The specific topic studied depends on the faculty in charge of the laboratory in which each student is assigned. At the conclusion of the program, students submit their final work (paper, presentation, report, etc.) as instructed by their lab supervisors
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