. "Web Gis"@en . . . . . . . . . . "Sdi services Implementation"@en . . "6" . "A spatial data infrastructure (SDI) comprises technology, standards,\npolicies, organisational/legal aspects, human resources and related ac-\ntivities to integrate, exchange, process, maintain and preserve geospa-\ntial data and information. Students will:\n‐ Be able to describe the main components of SDIs and know key\nobjectives, benefits and current state-of-the-art of such initiatives\n[OI5-1].\n‐ Understand the conceptual strategies, organizational requirements\nand legal frameworks for leveraging the advantages of open geo-\ngraphic data infrastructures [DA3-3, GS1].\n‐ Recognize the importance of standardized data models to store, an-\nalyse and manipulate geographic phenomena.\n‐ Be able to explain the role of metadata for spatial data sharing\nacross distributed networks [GD12].\n‐ Be able to describe the existing spatial data sharing policies includ-\ning intellectual property rights, security issues, privacy issues, Open\nGovernment data initiatives [GS5-4, OI5-6].\n‐ Be able to explain the Service Oriented Architecture (SOA) concept\ntogether with its underlying publish-find-bind principle.\n‐ Know internationally accepted geographic- and IT standards (OGC,\nOASIS & ISO) and apply these in practical projects [OI5-1].\n‐ Be able to understand, design and implement geodata models ac-\ncording to standardised approaches [CF3-CF6].\n‐ Be able to publish geodata and geoprocessing services over the\nweb: map services, data services (editing, search, image service),\nand analytical services.\n‐ Be able to define the interoperability needs beyond technical issues\nlike direct access and industry standards on a legal, semantic and\norganizational level [OI5-2].\n‐ Understand the principles and techniques of spatial data organiza-\ntion and apply these principles and techniques to design and build\nspatial databases [DM2, DA4].\n‐ Based on these concepts, the students will learn how to utilize open,\nshared GIS resources to design and use Open GIS data structures,\nworkflows and processes leveraging information repositories" . . "Presential"@en . "TRUE" . . "Master in Applied Geoinformatics"@en . . "https://www.plus.ac.at/wp-content/uploads/2022/07/mb160323-curr-geoinf-applied.pdf" . "120"^^ . "Presential"@en . "The study programme provides application-oriented knowledge based on relevant theories and methods. Discipline-specific ways of thinking, analytical skills and techniques as well as problem-solving competences are developed in core areas of Geoinformatics, especially in:\nGeospatial data acquisition and visual / cartographic communication;\nData modelling and spatial data management;\nData analytics across the spectrum of Geoinformatics: georeferenced data and data\nstreams; in-situ, remote and mobile sensing; statistics;\nSpatial analysis, as well as dynamic system simulation;\nStandards for architectures of open and distributed systems and spatial data infra-\nstructures;\nDevelopment of geospatial applications."@en . . . . "2"@en . "FALSE" . . "Master"@en . "Thesis" . "no tuition, other costs may apply" . "Euro"@en . "749.42" . "Mandatory" . "The ‘Applied Geoinformatics’ MSc aims at the building of advanced competences in geospatial\ndata acquisition and data management, data analytics and simulation as well as interactive\ncommunication. Graduates are expected to interface with different spatially oriented applica-\ntion domains, contribute to solving problems across societies, economies and environments\nas well as leading teams assigned pertinent tasks"@en . "1"^^ . "no data" . "Downstream"@en . . . . . . . . . . . . . . . . . . . .