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We have just opened two more COMPUTE courses for registration:Artificial Intelligence in Medicine and Life Sciences – IntroductionIntroduction to Artificial Neural Networks and Deep LearningBoth courses will start in the Autumn term of 2025. Please visit the course pages for full information, including dates and access to registration.
DatesFall 2021PersonnelCourse organiser: Sonja AitsTeachers: Sonja Aits, Marcus Klang
https://www.compute.lu.se/article/ai-medicine-and-life-sciences-ai-text-and-language-data-ht2021-15-ects-or-6-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-ht2021-75-ects - 2026-04-19
The aim of the course is to provide participants with a basic understanding of bioinformatics concepts and methods. ObjectivesThe aim of the course is to provide participants with a basic understanding of bioinformatics concepts and methods.ContentsThe course will provide awareness, from theoretical as well as practical perspectives, of bioinformatics resources and tools available in the different
https://www.compute.lu.se/article/medical-bioinformatics-introduction-vt-2021-study-period-ii-15-ects - 2026-04-19
This course will introduce students to image and video analysis with deep learning and application areas within medicine and life sciences. ObjectivesThis course will introduce students to image and video analysis with deep learning and application areas within medicine and life sciences. It is also suitable for people outside the medicine/life science area as the concepts and methods themselves a
The course gives a basic introduction to techniques for simulating complex systems and processes, typically with many coupled degrees of freedom. ObjectiveThe course gives a basic introduction to techniques for simulating complex systems and processes, typically with many coupled degrees of freedom. The main aim of the course is to introduce the students to applications of these techniques. To thi
https://www.compute.lu.se/article/monte-carlo-and-molecular-dynamics-tools-vt2021-study-period-ii-75-ects - 2026-04-19
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
The COMPUTE course: "Computational Chemistry" is now open for registration. Please visit the course page for more details and access to registration.
https://www.compute.lu.se/article/compute-course-computational-chemistry-open-registration - 2026-04-19
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.
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 - 2026-04-19
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 - 2026-04-19
Titles and abstracts for short presentations should be submitted until 30th January 2026. The 2026 COMPUTE Spring meeting is an interdisciplinary PhD conference held in the afternoon of the 19th of March.COMPUTE members are invited to contribute to the conference with a presentation on their flavour of computational research. Talks are 8 minutes with 2 additional minutes for questions, should focu
https://www.compute.lu.se/article/call-contributions-compute-spring-meeting-2026 - 2026-04-19
The COMPUTE Spring meeting will take place on the 19th March 2026 The 2026 COMPUTE Spring meeting is an interdisciplinary PhD conference held in the afternoon of the 19th of March. We invite all COMPUTE members and associates to register and join us in the Puffendorf Institute.For more information and visit:Workshop page for the 2026 COMPUTE spring meeting.
https://www.compute.lu.se/article/register-compute-spring-meeting-19th-march-2026 - 2026-04-19
20 - 24 April 2026 The 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.Hosted in collaboration between the ClimBEco, IBIO and COMPUTE resear
https://www.compute.lu.se/article/introduction-r-nms001f-vt-2026-15-ects - 2026-04-19
The COMPUTE course: "Introduction to R" will be running 20-24 April 2026 Please visit the course page for more details and access to registration.
https://www.compute.lu.se/article/compute-course-introduction-r-open-registration - 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-2026-75-ects - 2026-04-19
The COMPUTE course: "Agile Software development" will be running in the second teaching period of the spring term 2026 (VT 2026) Please visit the course page for more details and access to registration.
https://www.compute.lu.se/article/compute-course-agile-software-development-open-registration-0 - 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-2026-75-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-nma017f-summer-2026-15-ects - 2026-04-19
This course gives PhD students a rigorous and practical introduction to the use of data compression, low-rank matrix methods, and tensor network techniques for the numerical solution of differential equations. Students will learn both the mathematical foundations, singular value decomposition, CUR/cross approximations, Tucker and tensor-train formats; and how these tools are integrated into modern
https://www.compute.lu.se/article/low-rank-and-tensor-network-methods-differential-equations-vt-2026-4-ects - 2026-04-19
