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Administrative data

Negar Kiyavash

negar.kiyavash@epfl.ch https://sites.google.com/site/negarkiyavash/

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

Teaching & PhD

PhD Students

Fateme Jamshidi, Mohammad Shahverdikondori, Badri Mohammad Reza, Arefe Boushehrian, Sepehr Elahi, Mohammadsadegh Khorasani, Mohammadsaeed Masiha, Amir Mohammad Aboueimehrizi

Past EPFL PhD Students

Sina Akbari, Ehsan Mokhtarian, Yaroslav Kivva

Courses

Causal inference

MGT-416

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.

Machine learning methods in econometrics

MGT-424

This course aims to provide graduate students a grounding in the methods, theory, mathematics and algorithms needed to apply machine learning techniques to in business analytics domain. The course covers topics from machine learning, classical statistics, and data mining.