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COMPUTE environment event 21st January: Governance concerns with generative AI and the challenge of regulating a moving target

The next environment is scheduled for the 21st of January The next COMPUTE environment  event: Governance concerns with generative AI and the challenge of regulating a moving target is open for registration.  See our environment event page for more details and access to registration.

https://www.compute.lu.se/article/compute-environment-event-21st-january-governance-concerns-generative-ai-and-challenge-regulating - 2026-01-17

Computational Chemistry, NKE019F (VT 2026, 7.5 ECTS)

Understanding and rationalizing chemical reactions, their mechanism, and the relation between molecular structure and function is key to today's science. It is a difficult task for experiments alone and computational methods are often used to complement experiment. ObjectivesThis course covers basic theory and practical application of computational methods and programs widely used in chemistry and

https://www.compute.lu.se/article/computational-chemistry-nke019f-vt-2026-75-ects - 2026-01-17

COMPUTE courses in Python, Fortran and R open for registration

We have just opened registration for four COMPUTE courses which should help boosting your programming skills. Computational Programming with Python (NUMA01F)7.5 pointsSummer course, starting 23 JuneMore info and registration: Computational Programming with Python (NUMA01F)Computational Programming with Python - First StepsNew course, not given before1.5 pointsShort version of the course aboveSumme

https://www.compute.lu.se/article/compute-courses-python-fortran-and-r-open-registration - 2026-01-17

COMPUTE spring meeting 28th April 2025

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 - 2026-01-17

Artificial Intelligence in Medicine and Life Science – AI for text and language data (HT 2025, 1.5 and 6 ECTS option)

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 - 2026-01-17

Artificial Intelligence in Medicine and Life Sciences – Introduction, NTF014F (HT2025, 1.5 ECTS)

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 - 2026-01-17

Basic Data Handling and Visualization with R (HT 2025, 1.5 ECTS)

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 - 2026-01-17

Introduction to Artificial Neural Networks and Deep Learning, NMV012F (HT2025, 7.5 ECTS)

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 - 2026-01-17

Scientific Computing with Python and Fortran, FMA320F (HT 2025, 7.5 ECTS)

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 - 2026-01-17

Data analysis: Statistical learning and visualization, FMSF90F (VT 2025, 7.5 ECTS)

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 - 2026-01-17

Computational Programming with Python, NUMA01F (Summer 2025, 7.5 ECTS)

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 - 2026-01-17

Computational Programming with Python - First Steps (Summer 2025, 1.5 ECTS)

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 - 2026-01-17

Agile Software Development, EDAG05F (VT 2025, 7.5 ECTS)

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 - 2026-01-17

Introduction to Artificial Neural Networks and Deep Learning, NMV012F (HT2024, 7.5 ECTS)

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 - 2026-01-17

Basic Data Handling and Visualization with R (HT 2024, 1.5 ECTS)

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 - 2026-01-17

Parallel Programming of HPC Systems, NTF010F (HT 2024, 7.5 ECTS)

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 - 2026-01-17

Computational Programming with Python, NUMA01F (Summer 2024, 7.5 ECTS)

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 - 2026-01-17

Scientific Computing with Python and Fortran, FMA320F (HT 2024, 7.5 ECTS)

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 - 2026-01-17

Introduction to R, NMS001F (VT 2024, 1.5 ECTS)

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 - 2026-01-17