[GEOG MAJORS] AUT 2023 ECON 487 Data Science for Game Theory & Pricing

[Nell Gross]

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 you. The course is currently restricted to Econ majors, however, anyone who is interested can email the instructor 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 14225
W 3:30-7:20pm
THO 125

Econ 487 is a novel course that directly teaches applied ML and econometrics coding in R with real datasets like those data scientists work with at large tech companies.  It will be instructed by Jacob LaRiviere who, in addition to being an affiliate faculty in the Economics Department at UW, is an executive Director of Economics and Data Science at Amazon.  Prior to Amazon he managed the Economics and Data Science functions at Microsoft Research.  The course is taught so that Jacob would be willing to hire top performers into his and his partners' groups at Amazon.  He has over eight 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- such as pricing 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.  Examples we'll cover include LASSO/Ridge, Trees/Forests, Light GBM, Debiased Machine Learning, DR-Learners, causal inference and Lifetime Value (LTV) calculus.  If you put in the work for this 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.  Guest speakers have included the Director of Pitching Analytics for the Seattle Mariners and other Tech executives.  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.  If you don't have the precise pre-requisites but have some experience with regressions, Jacob will gladly provide you with an add code.  No prior coding experience required.
Ahna Kotila
Academic Services Director
Department of Economics
314 Savery Hall, Box 353330
Seattle ,WA  98195-3330
akotila at uw.edu<mailto:akotila at uw.edu>
https://econ.washington.edu


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