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Call for contributions for the COMPUTE Spring meeting 2026

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 - 2026-06-25

Register for COMPUTE Spring meeting on 19th March 2026

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 - 2026-06-25

Introduction to R, NMS001F (VT 2026, 1.5 ECTS)

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 - 2026-06-25

Agile Software Development, EDAG05F (VT 2026, 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-2026-75-ects - 2026-06-25

Computational Programming with Python, NUMA01F (Summer 2026, 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-2026-75-ects - 2026-06-25

Computational Programming with Python - First Steps, NMA017F (Summer 2026, 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-nma017f-summer-2026-15-ects - 2026-06-25

Low-Rank and Tensor Network Methods for Differential Equations (VT 2026, 4 ECTS)

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 - 2026-06-25

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 - 2026-06-25

Scientific Computing with Python and Fortran, FMA320F (HT 2026, 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-2026-75-ects - 2026-06-25

Artificial Intelligence in Medicine and Life Science – AI for text and language data (HT 2026, 1.5 and 6 ECTS option)

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

https://www.compute.lu.se/article/artificial-intelligence-medicine-and-life-science-ai-text-and-language-data-ht-2026-15-and-6-ects - 2026-06-25

Parallel Programming of HPC Systems, NTF010F (HT 2026, 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-2026-75-ects - 2026-06-25

Introduction to Artificial Neural Networks and Deep Learning, NMV012F (HT 2026, 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-ht-2026-75-ects - 2026-06-25

COMPUTE courses in Python, Fortan and AI for text and language open for registration

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 - 2026-06-25

Introduction to computational science, NMG002F (HT26, 3 ECTS)

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 - 2026-06-25

Data Literacy with Python, NMA019F (HT 2026, 3 ECTS)

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 - 2026-06-25