Negar Kiyavash

ODY 1 01.1 (Odyssea)
Station 5
CH-1015 Lausanne

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Administrative data

Teaching & PhD


Management of Technology

PhD Programs

Doctoral program in computer and communication sciences

Doctoral Program in Technology Management


Data driven business analytics

This course focuses on on methods and algorithms needed to apply machine learning with an emphasis on applications in business analytics.

Statistical inference and machine learning

This course aims to provide graduate students a thorough grounding in the methods, theory, mathematics and algorithms needed to do research and applications in machine learning. The course covers topics from machine learning, classical statistics, and data mining.

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.