Announcements

  • The test is now available, and is due no later than Tuesday, 12/14, 4:59 AM UTC. Remember to read its rules, and good luck!

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

Search

  1. Complete the sectioning and office hours preferences form no later than Friday, 9/3, 3:59 AM UTC.
  2. Complete the CSCI E-80 Software Form no later than Sunday, 9/5, 3:59 AM UTC
    • Note that you will not be able to submit Quiz 0 or Project 0 until you complete this form!
  3. Watch Lecture 0 on or after Mon 8/30.
  4. Complete Quiz 0 on or before Monday, 9/6, 3:59 AM UTC.
  5. Attend section.
  6. Optionally attend office hours.
  7. Work on Project 0, due Monday, 9/13, 3:59 AM UTC.

Knowledge

  1. Watch Lecture 1 on or after Mon 9/13.
  2. Complete Quiz 1 on or before Monday, 9/20, 3:59 AM UTC.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 1, due Monday, 9/27, 3:59 AM UTC.

Uncertainty

  1. Watch Lecture 2 on or after Mon 9/27.
  2. Complete Quiz 2 on or before Monday, 10/4, 3:59 AM UTC.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 2, due Monday, 10/11, 3:59 AM UTC.
    • 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 10/11.
  2. Complete Quiz 3 on or before Monday, 10/18, 3:59 AM UTC.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 3, due Monday, 10/25, 3:59 AM UTC.

Learning

  1. Watch Lecture 4 on or after Mon 10/25.
  2. Complete Quiz 4 on or before Monday, 11/1, 3:59 AM UTC.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 4, due Monday, 11/8, 4:59 AM UTC.

Neural Networks

  1. Watch Lecture 5 on or after Mon 11/8.
  2. Complete Quiz 5 on or before Monday, 11/15, 4:59 AM UTC.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 5, due Monday, 11/22, 4:59 AM UTC.
    • 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 Mon 11/22.
  2. Complete Quiz 6 on or before Monday, 11/29, 4:59 AM UTC.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 6, due Monday, 12/6, 4:59 AM UTC.

Test

  1. Read information about the test, which will be released Wednesday, 12/8, 5:00 AM UTC.
  2. Optionally attend the review session.
  3. Optionally attend office hours.
  4. Work on the test, due Tuesday, 12/14, 4:59 AM UTC.