Negar Kiyavash
EPFL CDM MTEI BAN
ODY 1 01.1 (Odyssea)
Station 5
1015 Lausanne
+41 21 693 02 59
+41 21 693 26 23
Office:
ODY 1 01.1
EPFL › CDM › MTEI › BAN
Website: https://www.epfl.ch/labs/ban/
+41 21 693 02 59
EPFL › CDM › CDM-MTE › MTE-ENS
+41 21 693 02 59
EPFL › CDM › CDM-DIR › CF-CDM
Website: https://www.epfl.ch/schools/cdm/
+41 21 693 02 59
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDMT-GE
Website: https://go.epfl.ch/phd-edmt
Teaching & PhD
PhD Students
Amir Aboueimehrizi, Mohammad Reza Badri, Arefe Boushehrian, Sepehr Elahi, Sadegh Khorasani, Mohammadsaeed Masiha, Mohammad Shahverdikondori
Past EPFL PhD Students
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.