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Applied Mathematics: An Innovative Course in Applied Mathematics and Science for an Undergraduate Curriculum in Computing Disciplines
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A common denominator in systems engineering programs, is the disconnection between mathematics and science with the general professional guideline, circularly proposed for their students. To reduce the existing gap, we designed, developed and implemented an Applied Mathematics course at Universidad El Bosque, Colombia, aiming to educate our students on deciding when to apply analytical tools based on mathematics or physics of Descartes, Leibniz and Newton, or when to apply, instead, other mathematical and scientific tools best suited to address complex environments, where information systems are to be developed and deployed. This paper describes the purpose, the focus and the students' perception, corresponding to the course's development and the topics covered in it, supplementing them with relative findings per the role it exposes within the academic curriculum.
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La acción del ingeniero debería ser comprendida en razón y coherencia con su contexto histórico, político, social, cultural, económico y tecnológico. Por eso tiene sentido incorporar la historia y la filosofía en la formación de los ingenieros, particularmente en una institución regida por el modelo biopsicosocial.
El texto expone los resultado de una investigación histórica y teórica sobre los orígenes de la bioética. Introduce los conceptos de revolución inadvertida, nuevo saber ético, entre otros. Se estructura en introducción, tres capítulos, conclusión y bibliografía. Primera edición. El manuscrito de la obra recibió el Premio Iberoamericano de Ética Elena Gil, otorgado por el Centro Félix Varela en el año 2005.
Editorial Acuario, Ciudad de La Habana, 2007, 199 páginas.
10th ed. Includes index.
Whereas Volume 1 introduced the NetLogo platform as a means of prototyping simple models, this second volume focuses on the advanced use of NetLogo to connect both data and theories, making it ideal for the majority of scientific communities. The authors focus on agent-based modeling of spatialized phenomena with a methodological and practical orientation, demonstrating how advanced agent-based spatial simulation methods and technics can be implemented. This book provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content. Illustrates advanced concepts and methods in agent-based spatial simulation Features practical examples developed, and commented on, in a unique platform Provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content.
A state-of-the-art description of the theory and applications of the various entropy optimization principles is given. These principles include Jaynes’ maximum entropy principle (MaxEnt), Kullback’s minimum cross-entropy principle (MinxEnt), generalised maximum entropy and minimum cross-entropy principles, inverse entropy optimization principles, minimum interdependence principle, minimax entropy principle and finally, the dual entropy optimization principles. The relation between information-theoretic entropy and thermodynamic entropy is specially recalled in the context of the more general relationship that exist between what are designated as primary and secondary entropies.
Part I. Introduction: Networks, Relations, and Structure: 1. Relations and networks in the social and behavioral sciences 2. Social network data: collection and application Part II. Mathematical Representations of Social Networks: 3. Notation 4. Graphs and matrixes Part III. Structural and Locational Properties: 5. Centrality, prestige, and related actor and group measures 6. Structural balance, clusterability, and transitivity 7. Cohesive subgroups 8. Affiliations, co-memberships, and overlapping subgroups Part IV. Roles and Positions: 9. Structural equivalence 10. Blockmodels 11. Relational algebras 12. Network positions and roles Part V. Dyadic and Triadic Methods: 13. Dyads 14. Triads Part VI. Statistical Dyadic Interaction Models: 15. Statistical analysis of single relational networks 16. Stochastic blockmodels and goodness-of-fit indices Part VII. Epilogue: 17. Future directions.
Traducción de: General System Theory. Foundations, Development, Applications