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This course explores the full data analytics cycle and big data analysis. Topics include: models and technologies for decision-making; descriptive analytics; predictive analytics and data mining; fundamental concepts of neural networks and deep learning; big data specific technologies; emerging trends and impact of business analytics. Students are expected to have previous knowledge of statistics and basic programming skills.
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Topics in this course include: conceptual and historical introduction to the evaluation of programs and organizations; purposes and main sources of evaluation; basics of evaluation-- phases, methodology, advantages/limitations, and uses; stakeholders, areas, and levels of evaluation; epistemology and major evaluation approaches; types of evaluation according to different criteria.
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This course provides a study of the major movements, schools, genres, styles, writers and works in the history of cinema. It takes an in-depth look at the meaning of the language of cinema and how it relates to the humanities.
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This course explores the quantitative instruments needed to pose and analyze economic problems with the aid of a formal model. Topics include: concepts of matrices and algebra of matrices; analysis of dynamic economic models; differential and difference equations and systems; examination of the qualitative behavior of solutions.
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This course explores the concepts of heuristics and optimization as two means of problem-solving and analysis. Topics include: dynamic programming; linear programming; constrained Boolean satisfiability; constraints programming; search. Pre-requisites: Programming; Algorithms and Data Structures; Discrete Mathematics; Artificial Intelligence.
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This course offers a study of software system design using the C programming language. Topics include: basic data types and flow constructions; structure of a C application; pointer manipulation; dynamic data structures; memory leaks; concurrent tools; tools for detecting memory leaks; Linux kernel, processes, and filesystems; main libraries; concurrency. Pre-requisites: Programming; Systems Programming.
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This course is a study of human resources management and its effect on organizational success. It is divided into four units: managing employees for competitive advantage; work design and workforce planning; managing employee competences; managing employee attitudes and behaviors.
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This course offers a study of digital business and the emergence of the digital economy. It explores the use of technology to generate new business, the impact of digital business models on existing market sectors, as well as the growth of new digital business sectors. NOTE: This course is the same as BUS 138 but taught in the UC3M International School.
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This course explores topics in international accounting such as: the regulatory framework; accounting policies, estimates, and errors; fair value measurement; borrowing costs; government grants; intangible assets; financial reporting in hyperinflationary economies; foreign exchange rates; earnings per share. Pre-requisites: Introduction to Accounting; Financial Accounting.
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This course focuses on data science analysis, for use in both research and the labor market, using the latest techniques applied to machine learning. It discusses parallel programming, hybrid programming, and distributed programming especially for big data.
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