. "Applied Mathematics"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Mathematical methods in environmental processes modelling"@en . . "4" . "The study course provides basic knowledge and acquired skills in the use of mathematical techniques in the modelling of processes in the environment. Theoretical knowledge on model development principles, stages, methods for collecting and processing input data is supported by practical work, problem management and self-research. Course implementation in practical handling and clarifying of work or environmental problems. The aim of the course is to provide basic knowledge and skills in the use of mathematical techniques in the modelling of processes in the environment. Course Tasks: 1. to learn the basic principles for the development of models (typology, development phases), 2. to learn the methods of collecting and processing entry data; 3. to provide knowledge and practical skills in the practice of using mathematical models. 4. give students an interest in using modeling techniques to address environmental problems. The course includes lectures, seminars and practical works. Languages of instruction are Latvian and English.\nResults Knowledge 1. Understands the principles of empirical and numerical methods. 2. Distinguishing the methods for extracting and processing input data, classifying, ranking and prioritizing raw data. Skills: 3. In particular, are able to define modeling objectives, impacting processes and variables. 4. Compare and critically assess modelling results. Competence: 5. Interpret the modelling results and take decisions on the choice of the most appropriate empirical method or mathematical approximation." . . "Presential"@en . "FALSE" . . "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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .