Negar Kiyavash

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negar.kiyavash@epfl.ch +41 21 693 02 59 https://sites.google.com/site/negarkiyavash/

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

+41 21 693 02 59
+41 21 693 26 23
Office:  ODY 1 01.1
EPFL > CDM > MTEI > BAN

Web site:  Web site:  https://www.epfl.ch/labs/ban/

+41 21 693 02 59
EPFL > CDM > CDM-MTE > MTE-ENS

EPFL CDM MTE-GE
ODY 3 18 (Odyssea)
Station 5
CH-1015 Lausanne

+41 21 693 02 59
Office:  ODY 3 18
EPFL > CDM > CDM-MTE > MTE-GE

+41 21 693 02 59
EPFL > VPA > VPA-FAC > OSSC

+41 21 693 02 59
EPFL > CDM > CDM-DIR > CF-CDM

Web site:  Web site:  https://www.epfl.ch/schools/cdm/

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Administrative data

Teaching & PhD

Teaching

Management of Technology

PhD Programs

PhD Students

Akbari Sina, Jamshidi Fateme, Khorasani Mohammadsadegh, Kivva Yaroslav, Konobeev Mikhail, Masiha Mohammadsaeed, Mokhtarian Ehsan,

Courses

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.

Causal inference

Students will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory and application will be balanced, with students working directly with network data throughout the course.