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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 Mon 1/27.
  2. Complete Quiz 0 on or before Mon, Feb 3, 2020 4:59 AM GMT.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 0, due Mon, Feb 10, 2020 4:59 AM GMT.

Knowledge

  1. Watch Lecture 1 on or after Mon 2/10.
  2. Complete Quiz 1 on or before Mon, Feb 17, 2020 4:59 AM GMT.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 1, due Mon, Feb 24, 2020 4:59 AM GMT.

Uncertainty

  1. Watch Lecture 2 on or after Mon 2/24.
  2. Complete Quiz 2 on or before Mon, Mar 2, 2020 4:59 AM GMT.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 2, due Mon, Mar 9, 2020 3:59 AM GMT.

Optimization

  1. Watch Lecture 3 on or after Mon 3/9.
  2. Complete Quiz 3 on or before Mon, Mar 16, 2020 3:59 AM GMT.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 3, due Mon, Mar 23, 2020 3:59 AM GMT.

Learning

  1. Watch Lecture 4 on or after Mon 3/23.
  2. Complete Quiz 4 on or before Mon, Mar 30, 2020 3:59 AM GMT.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 4, due Mon, Apr 6, 2020 3:59 AM GMT.

Neural Networks

  1. Watch Lecture 5 on or after Mon 4/6.
  2. Complete Quiz 5 on or before Mon, Apr 13, 2020 3:59 AM GMT.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 5, due Mon, Apr 20, 2020 3:59 AM GMT.

Language

  1. Watch Lecture 6 on or after Mon 4/20.
  2. Complete Quiz 6 on or before Mon, Apr 27, 2020 3:59 AM GMT.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 6, due Mon, May 4, 2020 3:59 AM GMT.

Test

  1. Complete the Test on or before Thu, May 14, 2020 3:59 AM GMT.