Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage...
After successful completion of the course, students will be able to:
The course addresses problems at the intersection of economics, social choice theory, and computer science. The focus is on processes of algorithmic decision making, such as voting rules or fair division. We discuss fundamental concepts from collective decision making and related topics and investigate algorithmic and computational aspects.
Specific topics include:
The course will consist of lectures and 4 exercise units. The students will receive an exercise sheet 1-2 weeks before each exercise and are expected to submit their solutions in advance and also to be able to present the solutions on the whiteboard. Exercise sheets will be available for download.
The first lecture takes place on March 5th, 10:15-11:15, via Zoom.
Please register and go to the Tuwel forum to see the zoom link.
ECTS Breakdown
36 h: Lectures 68 h: Solving and presenting the solutions of the 4 exercise sheets 22 h: Preparation and follow-up 23.5 h: Exam preparation 0.5 h: Exam ----------
Sum: 150 hECTS: 6
Literature
Exercise + oral exam
Basic knowledge of algorithmic design. Good to have heard: