Announcements

  • The final lecture, Language has now been posted.
  • Project 5 is due by 2022-07-31T23:59:00-04:00.
  • Quiz 6 is due by 2022-08-02T23:59:00-04:00.
  • Be sure to attend at least one section this week.
  • Project 6 is due by 2022-08-05T23:59:00-04:00.
    • Remember, you may not use your one-time use extension to extend Project 6’s deadline, per the syllabus.

Description

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

Table of Contents

  1. Watch Lecture 0 on or after Tue 6/21.
  2. Complete Quiz 0 on or before 2022-06-23T23:59:00-04:00.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 0, due 2022-06-26T23:59:00-04:00.

Knowledge

  1. Watch Lecture 1 on or after Mon 6/27.
  2. Complete Quiz 1 on or before 2022-06-30T23:59:00-04:00.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 1, due 2022-07-03T23:59:00-04:00.

Uncertainty

  1. Watch Lecture 2 on or after Tue 7/5.
  2. Complete Quiz 2 on or before 2022-07-07T23:59:00-04:00.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 2, due 2022-07-10T23:59:00-04:00.
    • Note that Project 2 has two different options for you to choose from; you may only submit one, not both.

Optimization

  1. Watch Lecture 3 on or after Mon 7/11.
  2. Complete Quiz 3 on or before 2022-07-14T23:59:00-04:00.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 3, due 2022-07-17T23:59:00-04:00.

Learning

  1. Watch Lecture 4 on or after Mon 7/18.
  2. Complete Quiz 4 on or before 2022-07-21T23:59:00-04:00.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 4, due 2022-07-24T23:59:00-04:00.

Neural Networks

  1. Watch Lecture 5 on or after Mon 7/25.
  2. Complete Quiz 5 on or before 2022-07-28T23:59:00-04:00.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 5, due 2022-07-31T23:59:00-04:00.
    • Note that Project 5 has two different options for you to choose from; you may only submit one, not both.

Language

  1. Watch Lecture 6 on or after Fri 7/29.
  2. Complete Quiz 6 on or before 2022-08-02T23:59:00-04:00.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 6, due 2022-08-05T23:59:00-04:00.