Andrés Cristi

EPFL CDM MTEI GO
ODY 1 01.2 (Odyssea)
Station 5
1015 Lausanne

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Administrative data

Fields of expertise

- Online Algorithms & Sequential Decision-Making
- Algorithmic Game Theory
- Mechanism & Market Design

Teaching & PhD

PhD Students

Zhang Jiechen,

Courses

Applied probability & stochastic processes

This course focuses on dynamic models of random phenomena, and in particular, the most popular classes of such models: Markov chains and Markov decision processes. We will also study applications in queuing theory, finance, project management, etc.