. "Other Data Management (rather Than Geospatial Data Architecture And Management) Kas"@en . . . . . . . . . . . . . . . "Geodatabase management systems"@en . . "5" . "This course is about managing geo-information in a database management system (DBMS). \n\n \nAfter the course the student is able to:\n- design an conceptual information model by converting a descriptive text of a real world situation into a Unified Modelling Language (UML) class diagram.\n- create a relational database management system (DBMS) schema to store the information for a real world situation (as captured in a UML class diagram), including definition of (primary/foreign) keys, clustering and indexing for performance.\n- apply the Structured Query Language (SQL) to query and update a relational DBMS by using a range of techniques: join two or more tables, aggregate data, specify meaningful selection predicates, ordering the output, use subqueries and program additional functionality with a procedural language (PL/pgSQL in PostgreSQL).\n- understand the different characteristics of spatial data and be able to also design a conceptual model for a spatial DBMS, create the spatial conceptual information model in a RDBMS with spatial extensions, optimize the implementation of spatial databases (spatial clustering indexing, spatial constraints,...) and retrieve and update spatial data using spatial operations (both geometric and topological) in the selection in combination with non-spatial predicates.\n- apply a range of advanced topics: spatial-temporal modelling, 3D modelling, routing inside the DBMS (using pgRouting) vario- or multiscale modelling, Spatial OCL (Object Constraint Language) formalization, simplicial homology, nD point clouds, efficient raster data management, 5D modelling, and selected NoSSQL database (Neo4j, MongoDB)." . . "Presential"@en . "TRUE" . . "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 . . . . . . . . . . . . . . . . . . . . .