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.
Course responsible lecturer Zaiga Krišjāne
Results 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.
