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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 - 2026-04-29

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 - 2026-04-29

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. 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 - 2026-04-29

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 - 2026-04-29

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

https://www.compute.lu.se/article/ruth-pottgen-particle-and-nuclear-physics-lund-university-light-dark-matter-and-its-footprint - 2026-04-29

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 - 2026-04-29

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

https://www.compute.lu.se/article/register-compute-autumn-meeting-computational-work-public-sector-and-industry-2nd-december - 2026-04-29

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 - 2026-04-29

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-ht2023-15-ects - 2026-04-29

The overall aim of the course is to give students a basic knowledge of artificial neural networks and deep learning, both theoretical knowledge and how to practically use them for typical problems in machine learning and data mining. BackgroundDeep learning and artificial neural networks have in recent years become very popular and led to impressive results for difficult computer science problems

https://www.compute.lu.se/article/introduction-artificial-neural-networks-and-deep-learning-ntf005f-ht2023-75-ects - 2026-04-29

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-2023-15-ects - 2026-04-29

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-ntf009f-ht2023-75-ects - 2026-04-29

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-2023-75-ects - 2026-04-29

This course will teach knowledge and practical experience of how to develop software together in a 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 suitable for a smaller software project with one developer team.Specific topics will include:Software development in teams

https://www.compute.lu.se/article/agile-software-development-vt-2023-75-ects - 2026-04-29

This is a PhD-course in applied statistical learning, ie. about using statistical techniques, such as modelling and prediction, to analyse real datasets, and making correct interpretations and conclusions. AimThe course begins with an overview of basic data wrangling and visualisation, with a focus on the student's ability to identify and illustrate important features of the data.  Then important

https://www.compute.lu.se/article/data-analysis-statistical-learning-and-visualization-fmsf90f-vt-2023-75-ects - 2026-04-29

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. AimThis course covers basic theory and practical application of computational methods and programs widely used in chemistry and molecu

https://www.compute.lu.se/article/computational-chemistry-vt-2023-75-ects - 2026-04-29

The aim of this course is to introduce students to the Jupyter Notebook which is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. ObjectivesThe aim of this course is to introduce students to the Jupyter Notebook which is an open-source web application that allows you to create and share documents th

https://www.compute.lu.se/article/reproducible-and-interactive-data-analysis-and-modelling-using-jupyter-notebooks-natf017-ht2022 - 2026-04-29

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-2022-75-ects - 2026-04-29

Stochastic Differential Equations (SDEs) have become a standard tool to model differential equation systems subject to noise. Applications range from Neuroscience or Polymeric Chemistry to Finance or Mechanical Engineering. Stochastic Differential Equations (SDEs) have become a standard tool to model differential equation systems subject to noise. Applications range from Neuroscience or Polymeric

https://www.compute.lu.se/article/advanced-material-stochastic-numerics-nma008f-ht-2022 - 2026-04-29

The purpose of the course is to provide basic knowledge of the programming language R to facilitate independent future use of applications written and / or implemented in this language, such as statistical analysis programs. ObjectiveThe purpose of the course is to provide basic knowledge of the programming language R to facilitate independent future use of applications written and / or implemente

https://www.compute.lu.se/article/basic-data-handling-and-visualization-r-ht2022-15-ects - 2026-04-29