Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

263-4110-00L  Interdisciplinary Algorithms Lab

SemesterAutumn Semester 2018
LecturersA. Steger, D. Steurer, J. Lengler
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 12.

In the Master Programme max. 10 credits can be accounted by Labs on top of the Interfocus Courses. Additional Labs will be listed on the Addendum.

AbstractIn this course students will develop solutions for algorithmic problems posed by researchers from other fields.
ObjectiveStudents will learn that in order to tackle algorithmic problems from an interdisciplinary or applied context one needs to combine a solid understanding of algorithmic methodology with insights into the problem at hand to judge which side constraints are essential and which can be loosened.
Prerequisites / NoticeStudents will work in teams. Ideally, skills of team members complement each other.

Interested Bachelor students can apply for participation by sending an email to explaining motivation and transcripts.