This course is about the technologies required for building and retrofitting urban water pipe systems. The course covers both dig and NO-dig methods, as well as groundwork in infrastructure projects (e.g. district heating systems, electricity supply cables, and broadband). It addresses how to adapt piping systems for sustainable surface water management and emphasizes the importance of lifelong infrastructure management, taking into consideration climate change impacts and environmental risks.
Additionally, the course seeks to enhance understanding of urban water infrastructure, which includes drinking water supply, sewage pipe network, and wastewater treatment works. It provides insights into the use of sensors and models for decision-making and system diagnostics in urban water systems. The students will learn about sensor data utilization for decision support and diagnostic purposes, and model-based inference to understand a system's state.
Real-life cases will be used for teaching, and software such as Matlab, Python, SWMM, Mike+, Epanet, Scalgo, or REN grøft.