. "Semantic web"@en . . "2" . "The goal of the course is to provide an opportunity to learn the next step in the evolution of the Web – the Semantic Web. Course tasks: to learn Semantic Web technologies and standards: Linked Data, XML, RDF, SPARQL, ontologies, etc.; to become familiar in practice with the data processing tools that use these technologies. By doing practical assignments on development of software components, students will be able to attain an in-depth understanding of the most recent Semantic Web technologies.\r\nLanguage of teaching: English, Latvian.\r\nCourse responsible lecturer\tGuntis Bārzdiņš\r\nResults\t\r\nKnowledge\r\n1. Understand XML, RDF, SPARQL, OWL.\r\n\r\nSkills\r\n2. Are able to apply Semantic Web technologies to solving non-trivial data processing tasks.\r\n\r\nCompetence\r\n3. Are competent in Semantic Web architecture, technologies and standards.\r\n\r\neb24, eb33, eb35, eb61, eb65." . . "Presential"@en . "FALSE" . . "Others"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Bachelor in Geoinformatics"@en . . "https://www.lu.lv/en/studies/study-process/courses/programme-search/?tx_lustudycatalogue_pi1%5Baction%5D=detail&tx_lustudycatalogue_pi1%5Bcontroller%5D=Course&tx_lustudycatalogue_pi1%5Bprogram%5D=21126&cHash=6f3dcba1688f6f3c1f0a12bd4f0d0313" . "243"^^ . "no data"@en . "KNOWLEDGE\r\n1. Understand the most important concepts and regularities in the field of natural sciences (natural and human geography, remote sensing, geodesy and cartography) and geoinformatics;\r\n2. Demonstrate typical basic and specialized knowledge in geoinformatics-related work fields, know geospatial data, standards and legal issues in the field of geoinformatics.\r\n\r\nSKILLS\r\n3. Perform professional activities in geoinformatics, independently obtain, formulate and analytically describe information, problems and solutions in geoinformatics, explain them and offer reasoned opinion in the discussion with both specialists and non-specialists;\r\n4. Critically analyse geoinformatic technologies, theories and problems;\r\n5. Demonstrate a scientific approach to problem solving, take responsibility and initiative in individual or team work, make decisions and find creative solutions in changing or uncertain circumstances.\r\n\r\nCOMPETENCE\r\n6. Independently obtain, select and analyse information and use it, make decisions and solve problems in geoinformatics, explain them and discuss them with specialists and non-specialists; develops solutions for the practical application of technology;\r\n7. Understand the problems and requirements of professional ethics in the field, assess the impact of their professional activity on the environment and society and participate in the development of the relevant professional field."@en . . "4"@en . "FALSE" . . . "Bachelor"@en . "Thesis" . "2800.00" . "Euro"@en . "3100" . "None" . "highly qualified geoinformatics specialists who are competitive in both the local and international labor market."@en . "no data" . "TRUE" . "Downstream"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .