COURSE OVERVIEW

 This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. This course is designed to provide participants with a detailed and up-to-date overview of the Emerging Technologies in Water Quality Analysis. It covers the importance of water quality monitoring, key parameters in water quality, current challenges in traditional water quality analysis and regulatory frameworks and standards; the difference between traditional and emerging technologies; the basics of internet of things (IoT) and sensor networks, role of IoT in remote and continuous water monitoring and examples of IoT devices for water quality analysis; and the artificial intelligence (AI), machine learning (ML) applications and advanced sensors for water quality. Further, the course will also discuss the spectroscopy techniques, chromatography methods, nanotechnology in water quality analysis, DNA-based techniques and electrochemical techniques; the continuous monitoring systems including the components of continuous water qpuality monitoring systems, deployment of monitoring buoys and stations, data logging and real-time alerts; the remote sensing technologies and satellite-based water quality assessment; and the water sampling and analysis utilizing drones.