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This is a continuance for those who already have basic knowledge in GIS (Geographical Information Systems) but would like a deeper knowledge and understanding. The course consists of a number of modules with advanced use of constructing…

A pass on the course is compulsory if the student is to obtain a master’s degree in Physical Geography. The course is carried out as an independent project. In the project the student should display an ability to apply and compile…

The aim of the course is to provide increased knowledge of the effects on the environment of observed and future climate change. Considerable significance is attached to the study of the causal connections that can explain climatic…

The course contains lectures aiming a solid theoretical knowledge about the carbon cycle, greenhouse gases and environmental issues. Topics covered are assimilation of carbon in ecosystems via the photosynthesis, discharge of carbon from…

This course provides tools for analysing the interaction between climate, land use, biodiversity and ecosystem services at different spatial scales. The content of the course includes natural ecosystems, ecosystems with agricultural and…

The course is largely practically oriented to give training in problem-solving, and in how problems can is structured to be solved with programming tools. The course give theoretical bases of programming and application of programming in…

The aim of this course is to give the underlying mathematical and computer science theory required in GIS. This knowledge is necessary to evaluate the results in an analysis and to carry out more advanced analyses where the tools not are…

The aim of this course is to study the use of GIS in a client-server environment, where communication takes place through the Internet. Part of the course deals with computer screen cartography. The lectures deal with the most important…

The course provides theoretical and practical knowledge of advanced GIS methods and their applications in environmental sciences, spatial analysis, and decision-making. A central theme of the course is research reproducibility, where…

The course covers elementary programming concepts (arithmetic expressions, for-loops, logical expressions, if-statements, functions and classes) that are closely connected to mathematical/technical problems and examples, as well as…

The course covers: Basic iterative methods for linear and non-linear systems of linear equations, matrix factorisations and condition number; Convergence of iterative methods; Interpolation and quadrature; Discretisation of…

The course covers: Direct and/or iterative solution methods for various linear algebra problems such as linear systems of equations, eigenvalue problems and the least-squares method,  Matrix and vector norms, orthogonalisation,…

The degree project requires a literature survey and specialised studies. Furthermore, a number of compulsory activities are included, in the form of teaching sessions and seminars that treat e.g. scientific writing in English and Swedish,…

The degree project requires a literature review and special studies. In addition, it includes a number of compulsory elements, in the form of lessons and seminars, which deal with, among other things, scientific writing in English and…

The course treats: Object-oriented programming style for scientific computing. SciPy/NumPy data structures. Examples of complex numerical algorithms from different fields within numerical analysis. Coupling to numerical libraries in C…

The course is preparatory for a master's thesis in numerical analysis. The overarching goal of the course is that students acquire in-depth knowledge in a specialised area of numerical analysis and are introduced to current research in the…

The course treats: Methods for time integration: Euler’s method, the trapezoidal rule. Multistep methods: Adams' methods, backward differentiation formulae. Explicit and implicit Runge-Kutta methods. Error analysis, stability and…