. . "201900069" . "AES_0005" . "5"^^ . "140"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "f2f" . "The course has an overall distance learning setup, supported by regular tutorial- and 'Question&Answer'-sessions. Students will spend most of the course on self-study of course materials and on individual project work. This project work will involve the planning, running and documenting of a scripting/programming assignment."@en . . . . . . . "Open for students with basic programming skills and affinity with handling large spatial-temporal data sets.\n\nGFM students are excluded from this course as GFM has its own courses in programming!"@en . . . "3"^^ . "2" . "1B " . "2022-11-13T23:00:00Z"^^ . "Standard geo-data processing can be done using standard functionality offered by standard software tools. But for the solving of complex spatial-temporal problems in earth and environmental research often the handling of (very) large and complex data sets is required. This typically asks for special geoprocessing solutions.\nThis course teaches students how to plan and carry out their own programming or scripting project, to support the processing, visualization and analysis of large and complex data sets in their MSc research phase. During the course, students will work on their own geoprocessing challenge, in their own application field and using their own research data\n\nEmphasis is on scientific computing using the programming (and scripting) language Python. Depending on student interest, other modern programming languages may be considered as well. In a similar manner, tools for the design of Graphical User-Interfaces (GUI) will be considered, which will allow building interactive windows containing buttons, text boxes, graphs, maps etc.\n\nSpecial attention will be given to available statistical and scientific packages for mathematics, science and engineering, such as array processing, linear algebra, regression, optimization, classification, clustering and machine learning.\n\nThe course intends to support individual students in programming solutions that they need during their MSc research. Therefore, certain flexibility is offered to students when to start the course."@en . "Python Solutions"@en . . "Python Solutions"@en . "Python Solutions"@en . . . "Learning outcome"@en . . "Break down a problem into engineering solutions."@en . "Break down a problem into engineering solutions."@en .