[Acmsmajors] ECON 487 Data Science for Game Theory & Pricing

[Math & ACMS Student Services Office]

We have plenty of space in ECON 487 Data Science for Game Theory & Pricing this Autumn and thought the course may be of interest to your ACMS/MATH undergrad and graduate students. The course is currently restricted to Econ majors, however, anyone who is interested can email the instructor the week before the quarter begins to request an add code (jlarivi1 at uw.edu<mailto:jlarivi1 at uw.edu>).  A syllabus is attached.



ECON 487A – Data Science for Game Theory & Pricing

Sln 14230

W 3:30-7:20pm

GWN 201



ECON 487 will be instructed by Jacob LaRiviere.  In addition to being an affiliate faculty in the Economics Department at UW, Jacob is a Director of Economics and Data Science at Amazon.  Prior to Amazon he managed the Economics and Data Science function at Microsoft in the Office of the Chief Economist.  He has over seven years of experience with hands on data science and economics work at both Microsoft and Amazon and has demonstrated experience and proficiency in identifying important business questions then using data science and economics to answer them in practical ways while maintaining scientific rigor.  In this course you will work with data hands using R applying modern ML tools used at the largest and most sophisticated technology companies in the world.  After the course, you will be very marketable to employers and graduate programs.  Previous students who have taken and done well in this course have gone on to jobs at places like Amazon, Microsoft, BlackRock, and Hulu and graduate programs like Columbia, Carnegie Mellon, U of Chicago, Cambridge and Oxford.  He has over 20 peer reviewed publications in Econ, Management and CS outlets and has co-edited top field journals in Economics and served on the program committee of conferences like ACM's Economics and Computation.  He has also won multiple teaching awards.




Best Regards,

Math & ACMS Advising
Department of Mathematics
University of Washington
Drop-in Advising Hours: click here<https://math.washington.edu/advising-academic-support#ZoomDrop-in>
Padelford C-36
206-543-6830    math.washington.edu<http://math.washington.edu/>    acms.washington.edu<http://acms.washington.edu/>
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