. "Data Science, Data Analysis, Data Mining"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Data analysis in environmental and geosciences"@en . . "4" . "The aim of the study course is to provide opportunities for students to learn data analysis methods in environmental and Earth sciences. Details of data mining schemes in field studies, statistical data processing methods, calculation of statistics, random variable distributions, correlation, variance and regression analysis, principal component analysis, species community structure analysis, ordination and classification methods are given for students. The application of the methods is provided in practical work. Course Tasks: 1. To create and strengthen notions about the need for statistical methods in scientific research. 2. To provide knowledge about the main methods of statistical data processing in environmental and Earth sciences. 3. Introduce a software package programms and the possibilities of its use in data processing and interpretation. 4. To provide knowledge about the presentation of the results of statistical data processing in scientific reports and publications. Languages of instruction are Latvian and English.\nCourse responsible lecturer Zaiga Krišjāne\nResults Knowledge 1. Understands data analysis methods and its application possibilities. Skills 2. Apply knowledge of data analysis with statistical program packages. Competence 3. Plans research, collects and analyzes data and interprets the results obtained in practical and fundamental research projects." . . "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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .