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    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/2117/3503</link>
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    <pubDate>Tue, 21 May 2013 16:41:42 GMT</pubDate>
    <dc:date>2013-05-21T16:41:42Z</dc:date>
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      <itunes:email>webmaster.bupc@upc.edu</itunes:email>
      <itunes:name>Universitat Politècnica de Catalunya. Servei de Biblioteques i Documentació</itunes:name>
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      <title>Factor Analysis</title>
      <link>http://hdl.handle.net/2117/18051</link>
      <description>Title: Factor Analysis
Authors: Graffelman, Jan
Abstract: Factor analysis is a multivariate statistical method for data reduction that originated in psychometrics and has found applications in many branches of science. The method aims to describe the correlation structure between a large set of observed variables in terms of a few underlying latent variables called factors. Factor analysis employs a specific model, where observed variables are modelled as linear combinations of common factors plus a specific error term. This model can be estimated by using principal components, by using the iterative principal factor method, or by maximum likelihood. After estimation, factors may be rotated in order to improve their interpretation. An example of the application of factor analysis to a set of pollutants in an environmental monitoring study is discussed.</description>
      <pubDate>Tue, 05 Mar 2013 09:11:32 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/18051</guid>
      <dc:date>2013-03-05T09:11:32Z</dc:date>
      <itunes:author>Graffelman, Jan</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords />
      <itunes:summary>Factor analysis is a multivariate statistical method for data reduction that originated in psychometrics and has found applications in many branches of science. The method aims to describe the correlation structure between a large set of observed variables in terms of a few underlying latent variables called factors. Factor analysis employs a specific model, where observed variables are modelled as linear combinations of common factors plus a specific error term. This model can be estimated by using principal components, by using the iterative principal factor method, or by maximum likelihood. After estimation, factors may be rotated in order to improve their interpretation. An example of the application of factor analysis to a set of pollutants in an environmental monitoring study is discussed.</itunes:summary>
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    <item>
      <title>Competencias profesionales para el Grado en Ingeniería Informática</title>
      <link>http://hdl.handle.net/2117/6470</link>
      <description>Title: Competencias profesionales para el Grado en Ingeniería Informática
Authors: Sánchez Carracedo, Fermín; Sancho Samsó, María Ribera; Botella López, Pere; García Almiñana, Jordi; Aluja Banet, Tomàs; Navarro Guerrero, Juan José; Balcázar Navarro, José Luis
Abstract: Degrees in the EHEA (European Higher Education Area) must be designed based on professional skills, so that when the students finish their studies they become competent professionals in the labour market. In this paper we propose a weighted list of skills for a undergraduate degree in Informatics Engineering, classified into two groups: technical and generic. Technical skills are divided into five different itineraries:computer engineering, computer science, information systems, information technologies and software engineering.         Los planes de Estudios del EEES (Espacio&#xD;
Europeo de Educación Superior) deben ser diseñados a partir de competencias profesionales, de forma que al final de sus estudios el egresado se convierta en un profesional competente en el mercado laboral. En este artículo se propone una lista de competencias ponderada para un título de Grado en Ingeniería Informática clasificadas en dos grupos: transversales y técnicas. Dentro de las técnicas se definen cinco itinerarios distintos: computación, ingeniería de computadores, ingeniería del&#xD;
software, sistemas de información y tecnologías de la Información.</description>
      <pubDate>Thu, 25 Feb 2010 12:43:01 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/2117/6470</guid>
      <dc:date>2010-02-25T12:43:01Z</dc:date>
      <itunes:author>Sánchez Carracedo, Fermín; Sancho Samsó, María Ribera; Botella López, Pere; García Almiñana, Jordi; Aluja Banet, Tomàs; Navarro Guerrero, Juan José; Balcázar Navarro, José Luis</itunes:author>
      <itunes:explicit>no</itunes:explicit>
      <itunes:keywords>Especialidades, Itinerarios, Professional skills, Undergraduate degree in Informatics Engineering, Undergraduate degree in computing, Specialities, Itineraries&#xD;
Competencias profesionales, Grado en Ingeniería Informática</itunes:keywords>
      <itunes:summary>Degrees in the EHEA (European Higher Education Area) must be designed based on professional skills, so that when the students finish their studies they become competent professionals in the labour market. In this paper we propose a weighted list of skills for a undergraduate degree in Informatics Engineering, classified into two groups: technical and generic. Technical skills are divided into five different itineraries:computer engineering, computer science, information systems, information technologies and software engineering.         Los planes de Estudios del EEES (Espacio&#xD;
Europeo de Educación Superior) deben ser diseñados a partir de competencias profesionales, de forma que al final de sus estudios el egresado se convierta en un profesional competente en el mercado laboral. En este artículo se propone una lista de competencias ponderada para un título de Grado en Ingeniería Informática clasificadas en dos grupos: transversales y técnicas. Dentro de las técnicas se definen cinco itinerarios distintos: computación, ingeniería de computadores, ingeniería del&#xD;
software, sistemas de información y tecnologías de la Información.</itunes:summary>
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