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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
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
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 - 2026-04-19
2 December 202415:00-15:15 Tea/coffee15:15-16:00 SeminarMH:309A, MathematikcentrumFika will be served from 15:00 for those who registered. The seminar can be attended without registration.AbstractObservations tell us that dark matter makes up a large fraction of the material within galaxies. In this COMPUTE seminar Ruth Pöttgen will describe how her research is about forming a better understanding
We will have this year's third COMPUTE Environment event, "Working with Git", given by Emma Söderberg from Computer Science. The event will be on 23rd October, 13-15. Visit the event page for more info and access to registration. We will have this years third COMPUTE Environment event, "Working with Git", given by Emma Söderberg from Computer Science. The event will be on 23rd October, 13-15. Vis
https://www.compute.lu.se/article/next-compute-environment-event-working-git-october-23 - 2026-04-19
The 2025 COMPUTE autumn meeting is scheduled for the 2nd of December 2025. We are having a morning session with presentations from former Lund University PhD students, who have moved on to working in the public sector and the games industry. In the afternoon we will have two workshops provided by speakers from InfraVis discussing visualisation and strategies for the visualisation of research data
Likeminded COMPUTE members discuss career development, soft skills, transition to the next job and research-related topics of their choice. For more information and access to registrataion visit the peer mentoring page.
https://www.compute.lu.se/article/peer-mentoring-starting-early-2026-register-now - 2026-04-19
