IPLUSO 22156

Data Organisation and Processing

• ApresentaçãoPresentation

  The Curricular Unit of Organization and Treatment of Data comprises the consolidation and expansion of the students' knowledge in this area. Such as, the initiation to the didactic approach of the Organization and Treatment of Data in Pre-school education and in Basic Education. In addition to the proposed objectives directly related to the study of Organization and Data Processing defined in the Form of this Curricular Unit, it is expected that students develop their communication, cooperation, mathematical research skills and the use of technological tools.
• ProgramaProgramme

  Statistics Importance and critical analysis of statistical studies Descriptive statistics and inferential statistics Probability Events Target population Constitution of a sample Representativeness of a sample Qualitative variables and variable variables Data organization and descriptive analysis Measures of central location Measures of dispersion Frequency - Absolute, relative, cumulative and percentage. Frequency table Types of Graphics Diagrams - Venn, Carroll diagrams, Extremes and Quartiles Results presentation
• ObjectivosObjectives

  It is intended that the student understands data analysis as a relevant competency in their training, that is interested, autonomous and critical when faced with real problems. The student must be able to plan the whole process that precedes the data analysis itself, which includes sample composition, definition of variables of interest, data collection and choice of statistical procedures according to the objectives. The student should also acquire knowledge and master fundamental concepts related to techniques of descriptive statistical analysis and develop skills in the application of these concepts in real practical situations. It is intended to develop in the student the ability to find in their reality problems that can be solved by the application of the concepts learned and through a logical and structured reasoning. The ability to interpret the results of the analyzes and communicate them in a clear and concise manner will also be developed.
• BibliografiaBibliography

  Bell, J (1993). Como realizar um projecto de investigação: um guia para a pesquisa em Ciências Sociais e da Educação. Gradiva. Lisboa. Martins, E. (2000) Introdução às Probabilidades e à Estatística. Dep. de Estatística e Investigação Operacional da Faculdade de Ciências da Universidade de Lisboa. Martins, E.; Loura, L.; Mendes, M. (2007). Análise de dados: texto de apoio para professores do 1º ciclo. Ministério de Educação. Direção Geral de Inovação e Desenvolvimento Curricular. Lisboa. Martins, F. (2017). Educação Pré-Escolar e Literacia Estatística. Psicossoma. ISBN 978994754 Pedrosa, A. (2016). Introdução Computacional à Probabilidade e Estatística. Porto Editora. ISBN 978-972-0-01990-5 Ponte, J. P.; Martins, M. E. G. (2011). Análise e tratamento de dados. Ministério da Educação. Direção Geral de Inovação e Desenvolvimento Curricular. Lisboa Reis, E. (1994) Estatística descritiva. Edições Sílabo. Santos, C. (2007). Manual de Auto-aprendizagem Estatística Descritiva. Edições Sílabo.
• MetodologiaMethodology

  Methodologies centered on "learning by doing" make the student the center of learning. Thus, the teacher appears as the mediator between the knowledge (the contents) and the different forms of access to the same, expressed in the methodologies.
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  6
• NaturezaNature

  Mandatory
• EstágioInternship

  Não