We will investigate a spectrum of fundamental resource management problems that arise in computer science and are relevant in a networked economy. These include basic problems in processor/machine scheduling, memory management, network design and energy-efficient computation. We will develop algorithms that compute provably good approximate solutions.
Johannes Knörr: Optimized Data-Driven Commodity Procurement with Derivative Hedging
(this year's TUM School of Management Bachelor Prize of the GOR)
Venue: TUM Campus Garching Room 01.10.033
Date: December 18, 2017, 14:00