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ISLA Santarém 15890

Integration of Information Systems

Information Systems Technology and Programming
  • ApresentaçãoPresentation
       The Information Systems Integration and Business Intelligence (BI) course unit aims to prepare students to understand and implement information systems integration processes within modern organizations, while utilizing Business Intelligence tools to analyze data and generate key insights for strategic decision-making. This course unit combines theoretical and practical concepts, emphasizing the use of current and emerging technologies in the field of data integration and analysis.
  • ProgramaProgramme
       1. Information system integration 2. Types of integration 3. Technologies for IS integration 4. Data Warehouses 4.1 Introduction to data warehouses 4.2 Fundamental concepts in data warehousing 4.3 Data warehouse design 5. OLAP 5.1 General considerations 5.2 OLAP architectures 5.3 OLAP operations 6. Data Mining 6.1 Introduction to Data Mining 6.2 Types of Data Mining problems 6.3 Common Data Mining techniques 6.4 Model evaluation 6.5 Data Mining methodologies 7. Business Intelligence tools 7.1 Open-source tools - Usage 7.2 Proprietary tools - Usage
  • ObjectivosObjectives
       - Describe the importance of the need for integration. - Distinguish between current types of integration. - Explain the implications of system integration for organizations. - Plan system integration within an organization. - Detail the key technologies and levels of integration. - Identify international standards for system integration. - Recognize and apply the main languages ¿¿that support system integration. - Integrate different information systems. - Apply system integration concepts to a practical case study. - Identify the different types of system integration tools. - Analyze system integration between companies. - Use open-source system integration tools. - Use proprietary system integration tools.
  • BibliografiaBibliography
    Heitlinger, P. (2001). Guia Prático da XML, Conceito, Exemplos, Prática e Aplicações da Linguagem Universal. Edições Centro Atlântico. Jiawei Han e Micheline Kamber (2006). Data Mining - Concepts and Techniques, Morgan Kaufman. Martins, Vitor (2006). Integração de Sistemas de Informação. Edições Sílabo. Mira da Silva, Miguel (2006). Integração de Sistemas de Informação. FCA, Editora de Informática Mourya, K., and Gupta, Shalu (2012). Data Mining And Data Warehousing, Alpha Science International. Page, Tom and Arunnachalam (2010). Application Of Data Mining Techniques In Data Warehousing, LAP & CO KG Vincent Rainardi (2008). Building a DataWarehouse with Examples in SQL Server, Apress.
  • MetodologiaMethodology
    Project-Based Learning (PBL), Flipped Classroom, Simulations and Case Studies, Labs and Open Source Tools, and Collaborative Learning.
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    5
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não
  • AvaliaçãoEvaluation

      

    Descrição

    Data limite

    Ponderação

    Frequência

    		  

    45%

    Portfolio

    		  

    15%

    Trabalho Prático

     

    40%