Negar Kiyavash

EPFL CDM MTEI BAN
ODY 1 01.1 (Odyssea)
Station 5
CH-1015 Lausanne

vCard
Administrative data

Teaching & PhD

Teaching

Management of Technology

PhD Programs

Doctoral program in computer and communication sciences

Doctoral Program in Technology Management

Courses

EECS Seminar: Advanced Topics in Machine Learning

Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.

Data driven 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.