Please find further details in the eCampus course.
|Monday, 10:15-11:45||CP1-HSZ / Hörsaal 3||April 3||Kesselheim|
|Wednesday, 12:15-13:45||CP1-HSZ / Hörsaal 3||April 5||Kesselheim|
|Wed, May 17||Lecture 12|
|Thu, May 18||No Tutorials (Holiday)|
|Mon, May 22||Lecture 13|
|Wed, May 24||No Lecture (Dies Academicus)|
|May 29, 31, June 1||No Lectures or Tutorials|
|Mon, June 5||No Lecture|
|Wed, June 7||Tutorial instead of Lecture in Lecture Hall|
|Thu, June 8||No Tutorials (Holiday)|
|Mon, June 12||Regular schedule resumes with Lecture 17|
Videos of Lectures 14, 15, and 16 will be published online.
The exams will be oral and the first exam period will take place from July 31 to August 04. The second exam period will take place from August 28 to September 1.
Throughout the world of modern computer networks, there are environments in which participants act strategically. Just consider internet service providers, which strive to route packets as cheaply as possible. Another example are cloud-based services: End-users and service providers rent remote infrastructure for storage or computations, giving rise to huge markets. Last but not least, advertisers want to reach their audience as cheaply as possible. This is the foundation of the business models of the world’s largest companies.
In all these settings, algorithms either act as selfish agents or have to cope with such. This brings about novel questions that are out of the scope of traditional algorithmic theory. Algorithmic game theory, a research direction at the intersection of game theory and algorithm design, has emerged to provide answers. On the one hand, this means to take analytical point of view and to strive to explain the performance of a given system. On the other hand, one also takes engineering perspective, asking how to design systems so that they can cope with selfishly acting agents.
In this course, we will introduce you to the foundations of algorithmic game theory, including
You should bring a solid background in algorithms and calculus. No prior knowledge on game theory is required. Specialized knowledge about certain algorithms is not necessary.