By completing this module, students will be enabled to work with big datasets of spatial nature both in scientific environments using cluster computing architectures based on MPI as well as in scalable computing models such as cloud computing more tailored to business adoption.
This conference runs in an inverted classroom manner due to Corona. That is, every week, a detailed list of resources including
and other media is published on https://www.martinwerner.de/online-lehre/bgd.
You will need a password for this page. If you did not get it via email, you might not be registered in myTUM or have some spam filter issues. Let me know by writing an email. If you are not enrolled in TUM, you are welcome as well. In this case, write an email, too.
Then, students can attend an interactive walkthrough session as a video conference.
We appreciate your feedback and support. You can drop me a line at any time. If you have interesting examples, you want to share with your fellow students, you can either send it to me via email or create a pull request on GitHub. I would be happy to include your examples, solutions and portations in the lecture.