Course Detail

Artificial Intelligence (32200)

Course Description by Faculty

  • Mullainathan, Sendhil
  • Content

    It is hard to name a sector that will not be dramatically affected by artificial intelligence (or machine learning). There are many excellent courses that teach you the mechanics behind these innovations -- helping you develop an engineering skill set. This course takes a different approach. It is aimed at people who want to deploy these tools, either in business or policy, whether through start-ups or within a large organization. While this requires some knowledge of how these tools work, that is only a small part of the equation, just as knowing how an engine works is a small part of understanding how to drive. What is really needed is an understanding of what these tools do well, and what they do badly. This course focuses on giving you a functional, rather than mechanistic, understanding. By the end, you should be an expert at identifying ideal use-cases and thereby well-placed to create new products, businesses and policies that use artificial intelligence.

    NOTE: This is a flipped classroom class. That modality does not work for everyone. Please consider the format before signing up for the class. 

  • Prerequisites


    • No non-Booth Students

  • Grades
    • No auditors

  • Syllabus
  • Winter 2023Section: 32200-01M 8:30AM-11:30AMHarper CenterC01In-Person Only
  • Winter 2023Section: 32200-81M 6:00PM-9:00PMGleacher Center408In-Person Only
Description and/or course criteria last updated: November 17 2022