. "Geospatial Analytics And Modelling"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Geomatics as support for energy applications"@en . . "10" . "The course will focus on the use of 3D city models, based on the international standard CityGML, as support for energy-related applications in the framework of the energy transition. A non-exhaustive list of possible applications is:\n- Bottom-up approaches for estimation of energy performance of buildings\n- Coupling of 3D city models with specific simulation tools\n- Assessment of photovoltaic potential at urban scale\n- Integration with supply networks (e.g. gas, district heating, etc.)\n- Data modelling, definition and testing of (energy-related) data standards.\n\nThe course has both a theoretical and a practical part. Every year, a specific topic will be selected and treated during the course. Every year, depending on the selected topic, the necessary theoretical background will be provided during lectures.\n\nAfter the course the student will be able to:\n\n1) Understand the fundamental requirements for urban energy modelling\n2) Perform data requirement analysis for the modelled phenomenon starting from (but not limited to) a semantic 3D city model based on CityGML\n3) Use (and, if needed, adapt) software tools to generate, store and visualise 3D city models\n4) Depending on the specific application, implement the required procedures or, alternatively, define a proper interface between the 3D city model and the simulation tool\n5) Apply the acquired knowledge to set up and run a proper simulation environment to solve a specific problem\n6) Gather and analyse the simulation results, and possibly make them available for further applications." . . "Presential"@en . "FALSE" . . "Master of Science Geomatics"@en . . "https://www.tudelft.nl/en/education/programmes/masters/geomatics/msc-geomatics" . "120"^^ . "Presential"@en . "With Geomatics for the Built Environment you will learn to use advanced techniques in data analysis, geographic data modelling and the visualisation of data. To be able to do this, you will develop expert skills in different programming languages such as Python, C++ and SQL, as they are essential for solving many of the Geomatics-related questions we need to consider.\r\n\r\nThe remote sensing techniques that you will learn in this programme give you the ability to measure and observe our environment and especially those features that cannot be seen with the human eye. Data management and analysis techniques allow you to turn these measurements into useful information and knowledge, with which patterns can be identified, behaviour over time can be tracked and a future state can be predicted. You will apply your skills in 3D modelling, GIS, mapping, serious gaming, simulation and visualisation to a wide range of fields such as urban planning, disaster management, geodesign, location-based services (LBS) and land administration. \r\n\r\nBeyond that, you will acquire knowledge about the use and governance of geographic data. In Geomatics you will implement the principles of open science to the greatest extent possible. In your assignments you will use open data and open source software, and your research results will be openly published in the university’s repository."@en . . . "2"@en . "FALSE" . . "Master"@en . "Thesis" . "2314.00" . "Euro"@en . "20560.00" . "Recommended" . "Geomatics graduates are specialists with a broad base who are able to position themselves across the entire breadth of the Geomatics spectrum. The Geomatics working field is expanding quickly so there is ample opportunity to find a position that suits you best or to start your own company. \n\nProspects:\n- geovernmental and private organisations (companies)\n- PhD research"@en . "no data" . "TRUE" . "Downstream"@en . . . . . . . . . . . . . . . . . . . . .