Call Number | 16735 |
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Day & Time Location |
R 2:20pm-5:35pm To be announced |
Points | 1.5 |
Grading Mode | Standard |
Approvals Required | None |
Instructor | Yashodhan Kanoria |
Type | LECTURE |
Method of Instruction | In-Person |
Course Description | This course will cover some of the fundamental product decisions together with the basic analytic and data science tools to support them that are currently being used to run the most exciting online marketplaces in the world. More specifically, among others, we will address the following questions: How does Uber or Lyft match drivers to passengers? How does Airbnb select the set of listings to show to a guest in a search? How can we build an algorithmic, scalable reputation and trust system in an e-commerce platform such as Amazon? How should advertisers optimize their decisions in today’s online advertising marketplaces run by Google and others? |
Web Site | Vergil |
Department | Decision, Risk and Operations |
Enrollment | 58 students (74 max) as of 4:05PM Saturday, December 21, 2024 |
Subject | Decision, Risk & Operations Management |
Number | B8159 |
Section | 001 |
Division | School of Business |
Open To | Business, Engineering:Graduate, Journalism |
Section key | 20251DROM8159B001 |