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Class Innovative methodologies in water management module - Artificial Intelligence and Technologies applied to water management

  • Presentation

    Presentation

    This course explores the role of emerging digital technologies in water resources management, with a focus on Artificial Intelligence, Machine Learning and intelligent monitoring tools. It addresses technologies such as sensors, Internet of Things (IoT), digital twins, drones and satellites, analysing their potential for environmental data collection and analysis as well as for improving the management and operation of water systems. The integration of these technologies into decision support systems and digital water governance frameworks is also a key component of the course.
  • Code

    Code

    ULHT7095-27009
  • Syllabus

    Syllabus

    Artificial Intelligence, Machine Learning and Deep Learning. Sensors, Internet of Things (IoT) and digital twins applied to water management. Machine learning applications in the management and operation of water systems. Drones, satellites and remote sensing technologies for environmental monitoring. Integration of these technologies into decision support systems and digital water governance.
  • Objectives

    Objectives

    Understand the fundamental concepts of Artificial Intelligence, Machine Learning and Deep Learning. Become familiar with digital technologies applied to monitoring and managing water systems. Analyse machine learning applications in the operation and management of water systems. Assess the potential of technologies such as IoT, drones and satellites for environmental monitoring. Understand the role of decision support systems and digital governance in water management.
  • Teaching methodologies

    Teaching methodologies

    Lectures supported by digital materials and examples of technological applications. Analysis of case studies on AI applications in water management. Exploration of environmental data platforms and digital tools. Discussion of emerging technological trends in the water sector.
  • References

    References

    [Preencher APELIDO], [Preencher Primeiros Nomes] - [Preencher Título]. [Preencher Edição. Local de publicação :Editor, Ano de publicação. Descrição física. Série. ISBN)] [Preencher APELIDO], [Preencher Primeiros Nomes] - [Preencher Título]. [Preencher Edição. Local de publicação :Editor, Ano de publicação. Descrição física. Série. ISBN)  
  • Assessment

    Assessment

    Avaliação qualitativa ao longo da UC, avaliação quantitativa final.

     

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