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.
    • Lectures

    • Discussion

    • Group Projects

    • Group Presentations

    • Ethics discussion/component

  • Prerequisites

    Non-Booth students interested in this course must submit an application for review. The application will close December 29 at 8:00am. Students will be notified by December 30 at 5:00pm.

  • Grades
    • Graded attendance/participation

  • 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: June 8 2022