Courses in computational science
The computational science courses at MGeo are:
- Introduction to Artificial Neural Networks and Deep Learning (BERN04/EXTQ41), 7.5 credits – autumn, second study period.
- Theoretical Biophysics (BERN08/EXTQ02), 7.5 credits – spring, first study period.
- Systems Biology – Models and Computations (BERN06), 7.5 credits – spring, second study period.
- Introduction to Modelling of Climate System (BERN03) (geology.lu.se), 7.5 credits – autumn, second study period
Courses specifically developed for computational science have course codes that begin with "BERN" (for beräkningsvetenskap, second cycle). Some of these courses are also available to students at the Faculty of Engineering ("EXTQ" course codes). There are also courses in the program with other acronyms for the course codes. PhD students are welcome to take the courses and are adviced to contact the respective course coordinator.
Other computational science courses at the Faculty of Science with MGeo teaching staff are:
- Modelling in Computational Science (BERN01) (Canvas), 7.5 credits – spring, first study period, at the Centre for Mathematical Sciences.
- Reproducible Data Science and Statistical Learning (BERN02) (kemi.lu.se), 7.5 credits – autumn, first study period, at the Department of Chemistry.