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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 - 2026-07-03
This course teaches how deep learning-based models can be used for text and speech analysis and highlights concrete application opportunities and challenges within medicine and life sciences.It also covers large language models (LLMs) and their applications such as AI chatbots and agentic AI. ObjectivesArtificial intelligence (AI), and deep learning in particular, is rapidly entering medicine and
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-2026-75-ects - 2026-07-03
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-ht-2026-75-ects - 2026-07-03
We currently have four courses open for registration.Computational Programming with Python, NUMA01F (Summer 2026, 7.5 ECTS)Computational Programming with Python - First Steps, NMA017F (Summer 2026, 1.5 ECTS)Artificial Intelligence in Medicine and Life Science – AI for text and language data (HT 2026, 1.5 and 6 ECTS option)Scientific Computing with Python and Fortran, FMA320F (HT 2026, 7.5 ECTS)Vis
https://www.compute.lu.se/article/compute-courses-python-fortan-and-ai-text-and-language-open-registration-0 - 2026-07-03
ObjectivesThe overall goal of the course is for the participants to acquire basic skills in order to conduct research in the subject of computational science. These skills include choice of computational methods and applications, inter-disciplinary approaches, insights from the current research frontier, and theoretical perspectives.The course introduces computational science as a field of researc
https://www.compute.lu.se/article/introduction-computational-science-nmg002f-ht26-3-ects - 2026-07-03
OverviewThis course is an introductory course in data analysis with Python. It provides the student with fundamental skills in data handling using Python. The focus is on exploratory data analysis, leveraging visualizations and data summaries to extract insights from datasets. Additionally, the course covers data cleaning, transformations, and merging data from multiple sources. These competences
https://www.compute.lu.se/article/data-literacy-python-nma019f-ht-2026-3-ects - 2026-07-03
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 - 2026-07-03
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
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 - 2026-07-03
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 - 2026-07-03
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 - 2026-07-03
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 - 2026-07-03
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 - 2026-07-03
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 - 2026-07-03
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 - 2026-07-03
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 - 2026-07-03
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 - 2026-07-03
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 - 2026-07-03
