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This course gives PhD students a rigorous and practical introduction to the use of data compression, low-rank matrix methods, and tensor network techniques for the numerical solution of differential equations. Students will learn both the mathematical foundations, singular value decomposition, CUR/cross approximations, Tucker and tensor-train formats; and how these tools are integrated into modern

https://www.compute.lu.se/article/low-rank-and-tensor-network-methods-differential-equations-vt-2026-4-ects - 2026-05-29

The next COMPUTE environment event "Creativity" will be on the 6th of May.   For more information visit our COMPUTE environment event page.COMPUTE environment event page

https://www.compute.lu.se/article/compute-environmental-event-creativity-6th-may - 2026-05-29

The COMPUTE Spring meeting themed "Development of Scientific Software" will take place on the 28th of April.  The event is aimed atall who write code to do their research and want to become better at itall who use code to do their research and want to learn more about where this code comes from and how it might be improved.Please visit the event page[LÄNKA OM] for more information about the event.

https://www.compute.lu.se/article/compute-spring-meeting-28th-april-2025 - 2026-05-29

This course is intended for students with basic knowledge of programming in any language who would like to learn the techniques of scientific programming. ObjectiveThis course is intended for students with basic knowledge of programming in any language who would like to learn the techniques of scientific programming. The course covers scientific programming in Python, including writing numerical c

https://www.compute.lu.se/article/scientific-computing-python-and-fortran-fma320f-ht-2026-75-ects - 2026-05-29

The COMPUTE course "Scientific Computing with Python and Fortran" will start on the start on the 15th September 2026. Registration has just been opened. Visit theCourse page for "Scientific Computing with Python and Fortran" for more information and access to registration.

https://www.compute.lu.se/article/registration-open-scientific-computing-python-and-fortran-course - 2026-05-29

Registration for the COMPUTE course "Agile Software Development (EDAG05F)" has just been opened. Visit our course page for more information and access to registration.

https://www.compute.lu.se/article/compute-course-agile-software-development-open-registration - 2026-05-29

This course teaches how deep learning-based natural language processing (NLP) models can be used for text and speech analysis and highlights concrete application opportunities and challenges within medicine and life sciences. ObjectivesArtificial intelligence (AI), and deep learning in particular, is rapidly entering medicine and life science research as well as pharmaceutical industry and health

https://www.compute.lu.se/article/artificial-intelligence-medicine-and-life-science-ai-text-and-language-data-ht-2025-15-and-6-ects - 2026-05-29

This introduction course will give an overview over artificial intelligence concepts and methods and over current and future applications of artificial intelligence in medicine and life sciences. ObjectiveArtificial intelligence is rapidly entering medicine and life science research as well as pharmaceutical industry and health care institutions. It is also increasingly used in environmental scien

https://www.compute.lu.se/article/artificial-intelligence-medicine-and-life-sciences-introduction-ntf014f-ht2025-15-ects - 2026-05-29

The aim of the course is to provide basic knowledge of the R programming language to facilitate the independent use of tools written and/or implemented in this language, such as statistical analysis packages. ObjectiveThe aim of the course is to provide basic knowledge of the R programming language to facilitate the independent use of tools written and/or implemented in this language, such as stat

https://www.compute.lu.se/article/basic-data-handling-and-visualization-r-ht-2025-15-ects - 2026-05-29

This course gives an introduction to artificial neural networks and deep learning, both theoretical and practical knowledge. ObjectiveDeep learning and artificial neural networks have in recent years become very popular and led to impressive results for difficult computer science problems such as classifying objects in images, speech recognition and playing Go. This course gives an introduction to

https://www.compute.lu.se/article/introduction-artificial-neural-networks-and-deep-learning-nmv012f-ht2025-75-ects - 2026-05-29

This course is intended for students with basic knowledge of programming in any language who would like to learn the techniques of scientific programming. ObjectiveThis course is intended for students with basic knowledge of programming in any language who would like to learn the techniques of scientific programming. The course covers scientific programming in Python, including writing numerical c

https://www.compute.lu.se/article/scientific-computing-python-and-fortran-fma320f-ht-2025-75-ects - 2026-05-29

This is a PhD-course in applied statistical learning, i.e. about using statistical techniques, such as modelling and prediction, to analyse real datasets, and making correct interpretations and conclusions. ObjectiveThis is a PhD-course in applied statistical learning, i.e. about using statistical techniques, such as modelling and prediction, to analyse real datasets, and making correct interpreta

https://www.compute.lu.se/article/data-analysis-statistical-learning-and-visualization-fmsf90f-vt-2025-75-ects - 2026-05-29

The aim of the course is to give an introduction to computational programming in Python for students without any previous programming knowledge. ObjectiveThe aim of the course is to give an introduction to computational programming in Python for students without any previous programming knowledge. There is a strong orientation towards computational mathematics. Python is a modern scripting languag

https://www.compute.lu.se/article/computational-programming-python-numa01f-summer-2025-75-ects - 2026-05-29

The aim of the course is to give an introduction to computational programming in Python for students without any previous programming knowledge. ObjectiveThe aim of the course is to give an introduction to computational programming in Python for students without any previous programming knowledge. There is a strong orientation towards computational mathematics. Python is a modern scripting languag

https://www.compute.lu.se/article/computational-programming-python-first-steps-summer-2025-15-ects - 2026-05-29

This course will teach knowledge and practical experience of how to develop software together in a team. The focus is on practical experience of methods and tools suitable for a smaller software project with one developer team. ObjectivesThis course will teach knowledge and practical experience of how to develop software together in a team. The focus is on practical experience of methods and tools

https://www.compute.lu.se/article/agile-software-development-edag05f-vt-2025-75-ects - 2026-05-29

This course gives an introduction to artificial neural networks and deep learning, both theoretical and practical knowledge. ObjectivesDeep learning and artificial neural networks have in recent years become very popular and led to impressive results for difficult computer science problems such as classifying objects in images, speech recognition and playing Go. This course gives an introduction t

https://www.compute.lu.se/article/introduction-artificial-neural-networks-and-deep-learning-nmv012f-ht2024-75-ects - 2026-05-29

The aim of the course is to provide basic knowledge of the R programming language to facilitate the independent use of tools written and/or implemented in this language, such as statistical analysis packages. ObjectiveThe aim of the course is to provide basic knowledge of the R programming language to facilitate the independent use of tools written and/or implemented in this language, such as stat

https://www.compute.lu.se/article/basic-data-handling-and-visualization-r-ht-2024-15-ects - 2026-05-29

The course discusses programming techniques required to efficiently utilise parallel computing in a computational research project in science or engineering. ObjectiveThe course discusses programming techniques required to efficiently utilise parallel computing in a computational research project in science or engineering. The course will discuss shared memory and distributed memory parallelisatio

https://www.compute.lu.se/article/parallel-programming-hpc-systems-ntf010f-ht-2024-75-ects - 2026-05-29

The aim of the course is to give an introduction to computational programming in Python for students without any previous programming knowledge. ObjectiveThe aim of the course is to give an introduction to computational programming in Python for students without any previous programming knowledge. There is a strong orientation towards computational mathematics. Python is a modern scripting languag

https://www.compute.lu.se/article/computational-programming-python-numa01f-summer-2024-75-ects - 2026-05-29

This course is intended for students with basic knowledge of programming in any language who would like to learn the techniques of scientific programming. ObjectiveThis course is intended for students with basic knowledge of programming in any language who would like to learn the techniques of scientific programming. The course covers scientific programming in Python, including writing numerical c

https://www.compute.lu.se/article/scientific-computing-python-and-fortran-fma320f-ht-2024-75-ects - 2026-05-29