. "Algorithms, Data Structures, Complexity, And Computability, Modeling Complex Systems"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Scientific computing"@en . . "5" . "The module aims to:\n\nImpart an understanding of scientific computing, using Python\nProvide students with a grounding in the basic principles of algorithm development and program construction\nIntroduce principles of computer-based image analysis, information extraction and model development\nThe module will cover:\n\nIntroduction to Jupyter notebooks\nComputing in Python\nComputing for image analysis\nComputing for environmental modelling\nData visualisation for scientific applications\nSee: https://github.com/UCL-EO/geog0111\n\nLearning Outcomes:\n\nAt the end of the module, students should:\n\nHave an understanding of the Python programming language and experience of its use\nHave an understanding of algorithm development and be able to exploit widely-used scientific computing software to manipulate datasets and accomplish analytical tasks\nHave an understanding of the technical issues specific to image-based analysis, model implementation and scientific visualisation" . . "Presential"@en . "TRUE" . . "Master in Remote Sensing and Environmental Mapping"@en . . "https://www.ucl.ac.uk/prospective-students/graduate/taught-degrees/remote-sensing-and-environmental-mapping-msc#course-overview" . "60"^^ . "Presential"@en . "Students develop an all-round knowledge of remote sensing, mapping and data analysis, including fundamental principles, current technological developments and applications to local, regional and global problems. They gain highly developed, marketable practical skills, particularly coding and data analysis, written and other communication skills to enable them to take leading roles in academic, government and industrial sectors"@en . . . . "1"@en . "FALSE" . . "Master"@en . "Thesis" . "14100.00" . "British Pound"@en . "14100.00" . "None" . "Graduates are highly-employable across a wide range of sectors. Recent graduates have been employed in: international space agencies, commercial geospatial and environmental companies; new start-ups using UAVs and satellite data; government agencies; charities and NGOs. The programme is also suitable training for those wishing to undertake a PhD in a quantitative environmental discipline and a number of our graduates have gone on to become leading researchers in the UK and overseas."@en . "1"^^ . "TRUE" . "Downstream"@en . . . . . . . . . . . . . . . .