Althouse Hall Room 104
717-254-8162
https://ernbilen.github.io
Eren Bilen's primary research domain is in behavioral and applied economics, in particular, on incentives and their role on performance in competitive environments. His recent work scrapes and analyzes data from an online chess platform with millions of moves made by players all around the world. His broader research interests involve machine learning and geospatial analysis on a wide range of applications. Particular topics include natural disaster response to the effects of availability of grocery store chains on consumer behavior. He has since published in several academic journals, including the Journal of Economic Behavior & Organization, and the Canadian Journal of Economics. He enjoys teaching both Python and R. The courses he taught include introduction to data science, data systems for data analytics, game theory, data analytics capstone.
COMP 200 Data Syst for Data Analytics
Cross-listed with DATA 200-01.
COMP 200 Data Syst for Data Analytics
Cross-listed with DATA 200-02.
DATA 200 Data Syst for Data Analytics
Cross-listed with COMP 200-01.
DATA 200 Data Syst for Data Analytics
Cross-listed with COMP 200-02.
DATA 400 Data Analytics Capstone
Permission of instructor required.
DATA 500 Independent Study