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We currently have four courses open for registration:Basic Data Handling and Visualization with R (HT 2026, 1.5 ECTS)Parallel Programming of HPC Systems, NTF010F (HT 2026, 7.5 ECTS)Data Literacy with Python, NMA019F (HT 2026, 3 ECTS)Introduction to Artificial Neural Networks and Deep Learning, NMV012F (HT 2026, 7.5 ECTS)Introduction to computational science, NMG002F (HT26, 3 ECTS)Visit our course

https://www.compute.lu.se/article/compute-course-r-parallel-programming-scientific-computing-anndl-and-data-literacy-open-registration - 2026-10-13

The COMPUTE environment event: From Laptop to COSMOS: A Hands-On Guide to Running and Developing Code at LUNARC will take place at 14:00 on 1st October.  Please visit the COMPUTE environment event page for more information and access to registration.

https://www.compute.lu.se/article/compute-environment-event-laptop-cosmos-hands-guide-running-and-developing-code-lunarc-1st-october - 2026-10-13

The COMPUTE autumn meeting 2026 "Agentic AI for Science" is scheduled for the 18th of November.   For more information and access to registration, please visit the event page.Event page for the COMPUTE autumn meeting 2026

https://www.compute.lu.se/article/registration-open-compute-autumn-meeting-agentic-ai-science-18th-november - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

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 - 2026-10-13

The course covers the basics of R. ObjectiveThe course covers the basics of R with a focus on basic functions, different data structures, import and export of data between R and other programs, data visualization, functions to summarise and manipulate data, Rstudio – an integrated development environment (IDE), as well as basic statistics functions in R.Additional informationThis course is given j

https://www.compute.lu.se/article/introduction-r-nms001f-vt-2024-15-ects - 2026-10-13

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. ObjectiveThis 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-2024-75-ects - 2026-10-13

The course provides an introduction to techniques for simulating complex systems and processes with many degrees of freedom, with an emphasis on applications of such techniques. ObjectiveThe course provides an introduction to techniques for simulating complex systems and processes with many degrees of freedom, with an emphasis on applications of such techniques. The first week contains introductor

https://www.compute.lu.se/article/monte-carlo-and-molecular-dynamics-tools-ntf008f-vt2024-75-ects - 2026-10-13