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This course offers a study of spatial and tourism planning. Topics include: planning and tourism-- concept and need for regional planning and tourism; territorial planning methodology and tourism; key concepts in regional planning and tourism; the different modalities of planning; tourist planning in Spain.
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This course is divided into four thematic blocks: how to take a collective decision; does majority rule make good decisions; electoral competition; collective action problems and application to lobbying. Topics include: how to make collective decisions for a group of individuals with heterogeneous needs and preferences; typical failures of different voting rule; designing a voting rule that makes rational decisions and satisfies some minimal democratic requirement; how governments and electoral competition work; why economic competition and electoral competition are so different in nature; the role and influence of interest groups in the political process.
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This course offers a study of basic Machine Learning techniques, when to use Machine Learning on real problems, how to determine which technique is appropriate for each problem, and to apply the techniques in a practical way to real problems. Topics include: classification and prediction techniques; non-supervised techniques; reinforcement-based techniques; relational learning; methodological aspects.
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This course offers a study of the following topics: entrepreneurship and tourism; business opportunities in tourism sectors-- identification and evaluation; evolution of business trends in tourism sectors; innovative business ideas and value propositions-- generation and analysis of initial viability; business plan-- design, structure, and purpose; elaboration of the business plan.
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This course focuses on how operating systems function as expanded machines, their components, major entities (processes, memory, files, etc.), and relation to the software and hardware of the computer. It explores how to use a program's operating system, the difference between processes and threads, including the main scheduling policies used, how to develop applications with multiple processes or threads using communication and synchronization mechanisms between them, as well as concurrent programming mechanisms.
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This course offers an introduction to statistical modeling. Topics include: introduction to statistical inference; confidence intervals for a single sample; test of hypotheses for a single sample; statistical inference for two samples; analysis of variance; goodness of fit tests.
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This course offers a study of the theory of social movements including features of social movements and key components for the emergence and development of social movements. It examines the history of social movements in three periods: 19th and 20th centuries (up to the 1960s); 1960s-1980s; 1990 to present. Finally, this course discusses specific social movements such as labor, racial and cultural rights, nationalism, feminism, environmentalism, LGBT, etc.
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This course examines historical changes and the role of health and disease in the contemporary world. Topics include: health and disease in the Middle Ages and Renaissance-- modern medicine in context; scientific knowledge of disease; from public hygiene to social medicine; official medicine and folk medicine; prevention of disease; institutions; other medicines; current challenges.
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This course offers an introduction to materials technology. Topics include: ferrous alloys; non-ferrous alloys; fundamentals of forming by casting; casting techniques; fundamentals of forming by plastic deformation; deformation techniques; powder technology; processing of ceramics; processing of polymers; processing of polymer matrix composites; fracture; fatigue; creep; friction and wear; corrosion of metals; welding; adhesives; surface treatments and coatings; non-destructive testing.
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