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Ítem Predicción de la rugosidad superficial en texturizados por electroerosión usando redes bayesianas(Universidad Icesi, 2013-10-01) Correa Valencia, MaritzaA model for prediction of parameters that defined roughness surface [Ra] when this texture is produced by Electro Discharge Texturing [EDT] is presented. The non-linearity, instabilities and expensive experimentation in this process, are main causes for use predictive techniques by means of robust and reliable algorithms, for study factors that present characterization hard. Series of experiments were conducted to produce plane surface textures using a modified EDM machine ALIC-1. The data collected in experimental phase were used for trained Bayesian models with Naïve Bayes and Tree Augmented Naïve Bayes [TAN] classifiers. Results show acceptable behavior within the operating range, consistent with the physical phenomena governing EDT process. Find a surface roughness with particular specifications is demonstratedÍtem Aplicación de las teorías de la firma: operacionalización del CAPM para empresas de Colombia y latinoamericanas(Universidad Icesi, 2010-01-01) Buenaventura Vera, GuillermoTo calculate the CAPM, we need to know variables such as risk-free rate, beta and market premium. The calculation of these parameters is given generally for application in strong equity markets (near efficiency) which is not the case of emerging markets, for this reason, the paper proposes a methodology for calculating parameters of the CAPM for emerging countries to make recommendations to facilitate its implementation.