Announcements

• Lecture 6, Language, is now available.
• Complete Quiz 6 by 2023-08-01T23:59:00-04:00.
• Attend one section for this lecture during the week of July 31.
• Complete Project 5 by 2023-07-30T23:59:00-04:00.
• Complete Project 6 by 2023-08-04T23:59:00-04:00.
  • You may not use any of your lateness allowance on Project 6, as we cannot accept any student work after the semester concludes.
• Be sure you’ve familiarized yourself with the course’s syllabus, particularly its provisions concerning academic honesty, lateness, and extensions.

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. Watch Lecture 0 on or after Tue 6/20.
2. Complete Quiz 0, due 2023-06-22T23:59:00-04:00.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 0, due 2023-06-25T23:59:00-04:00.

Knowledge

1. Watch Lecture 1 on or after Mon 6/26.
2. Complete Quiz 1, due 2023-06-29T23:59:00-04:00.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 1, due 2023-07-02T23:59:00-04:00.

Uncertainty

1. Watch Lecture 2 on or after Mon 7/3.
2. Complete Quiz 2, due 2023-07-06T23:59:00-04:00.
3. Attend section.
   • Note that due to the holiday, Tuesday sections have either been canceled or moved. Re-check the calendar!
4. Optionally attend office hours.
5. Work on Project 2, due 2023-07-09T23:59:00-04:00.
   • 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 7/10.
2. Complete Quiz 3, due 2023-07-13T23:59:00-04:00.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 3, due 2023-07-16T23:59:00-04:00.

Learning

1. Watch Lecture 4 on or after Mon 7/17.
2. Complete Quiz 4, due 2023-07-20T23:59:00-04:00.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 4, due 2023-07-23T23:59:00-04:00.

Neural Networks

1. Watch Lecture 5 on or after Mon 7/24.
2. Complete Quiz 5, due 2023-07-27T23:59:00-04:00.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 5, due 2023-07-30T23:59:00-04:00.

Language

1. Watch Lecture 6 on or after Fri 7/28.
2. Complete Quiz 6, due 2023-08-01T23:59:00-04:00.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 6, due 2023-08-04T23:59:00-04:00.