filmeu

Class Decision Support Systems

  • Presentation

    Presentation

    The Decision Support Systems / Business Intelligence UC aims to ensure that there is an introduction to the theme of data analysis processes to support the areas of business management. In this sense, UC has a fundamental role in the study cycle in understanding the management and decision processes of organizations, as well as how to put data infrastructures at the service of the corporate business.
  • Code

    Code

    ULHT260-7303
  • Syllabus

    Syllabus

    DW Business Challenges DW Architectures Modeling the Data Warehouse ¿ Best Practices ETL Overview BI Databases Reporting Tools Build Reports Business Intelligence Projects with Large Language Models (LLMs) and AI Agents
  • Objectives

    Objectives

    Understand why companies need a BI environment What architecture components exists for BI Modelling Schemas for DW Know the several Data Manipulation Processes within a DW Environment What can a User get in a Reporting Interface Understand how to use LLMs and AI Agents in a decision support systems context
  • References

    References

    Bolton, J. (Ed.). (2019). Data Warehousing Essentials. Larsen and Keller Education. Deckler, G. (2022). Learn Power BI: A comprehensive, step-by-step guide for beginners to learn real-world business intelligence, 2nd Edition (2nd ed. edition). Packt Publishing Inmon, B., & Puppini, F. (2020). The Unified Star Schema: An Agile and Resilient Approach to Data Warehouse and Analytics Design. Technics Publications. Kelly, N. (2021). Delivering Data Analytics: A Step-By-Step Guide to Driving Adoption of Business Intelligence from Planning to Launch (1st edition). Kogan Page. Kimball, R. (2008). The Data Warehouse Lifecycle Toolkit, 2nd Edition (2 edition). Wiley. Kimball, R. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition (3 edition). Wiley.  
  • Assessment

    Assessment

    Componente Teórica (Frequência)

    • Participação, Mini Testes, Teste final - 50%
      • Teste Final Frequência (60%)
      • 2 Mini-testes (30%)
      • Participação (10%)

    Componente Prática (Frequência)

    • Projetos - 50%
      • 1st Work - Modeling
      • 2nd Work - ETL
      • 3rd Work - Reporting & AI Agents
      • Participation
      • Teams of 3-4 students

    Nota mínima em cada componente 9,5 valores em 20.

    -------------------------------

    Recurso

    • Teste de Recurso (50%)
    • Projeto Final - 50%

    Nota mínima em cada componente 9,5 valores em 20.

SINGLE REGISTRATION
Lisboa 2020 Portugal 2020 Small financiado eu 2024 prr 2024 republica portuguesa 2024 Logo UE Financed Provedor do Estudante Livro de reclamaões Elogios entidade signataria