Courses
This page lists upcoming COMPUTE courses and other courses of interest to COMPUTE students.
Previous courses 2012-2020 and previous courses 2021- are found on separate pages.
It is typically not possible to admit MSc students to COMPUTE courses.
Upcoming courses
Basic Data Handling and Visualization with R
HT 2025, 1.5 ECTS
Introduction to Artificial Neural Networks and Deep Learning (NMV012F)
HT2025, 7.5 ECTS
Scientific Computing with Python and Fortran (FMA320F)
HT 2025, 7.5 ECTS
Computational Programming with Python (NUMA01F)
Summer 2025, 7.5 ECTS
Agile Software Development (EDAG05F)
24th March 2025, 7.5 ECTS
Tentative courses (changes may still occur)
AI for Medicine and Life Sciences - Introduction (1.5 ECTS, likely spring or fall term 2025)
Artificial intelligence is rapidly entering medicine and life science research as well as pharmaceutical industry and health care institutions. 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. Societal, ethical and legal challenges will also be addressed. In addition, students will hear about ongoing research in this area at Lund University and develop a project plan for an artificial intelligence research project in their own research domain. This is the first course in the new course package on "Artificial Intelligence in Medicine and Life Science" and will not have any programming exercises. It will be followed by several in-depth courses with practical exercises, each focusing on different types of data.
AI in Medicine and the Life Sciences – AI for text and language data (1.5/6.0 ECTS, likely fall 2024 or spring 2025)
Artificial intelligence (AI), and deep learning in particular, is rapidly entering medicine and life science research as well as pharmaceutical industry and health care institutions. One of the areas it is applied to is the analysis or generation of text and language data, for example to extract information from patient records or diagnostic questionnaires, summarize research literature, automate journalling, operate medical chat bots or gain public health insights from social media.
Introduction to Medical Bioinformatics (1.5 ECTS, likely 2025)