All information for the course will of course be available via Itslearning. However, all information can also be accessed via the professor's own home page - this does not require logging in and it doesn't time out. The only exceptions to that are accesses to copyrighted material, GDPR restricted information, and possibly a few urgent announcements. In particular, you can already now find information about literature, the exam, etc. on this page.

This is a course on advanced topics in algorithms, including probabilistic and randomized algorithms, approximation and online algorithms, lower bound techniques, network flows, amortized analysis, and string matching.