Announcements

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 9/5.
  2. Complete Quiz 0, due 2023-09-10T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 0, due 2023-09-17T23:59:00-04:00.

Knowledge

  1. Watch Lecture 1 on or after Mon 9/18.
  2. Complete Quiz 1, due 2023-09-24T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 1, due 2023-10-01T23:59:00-04:00.

Uncertainty

  1. Watch Lecture 2 on or after Mon 10/2.
  2. Complete Quiz 2, due 2023-10-08T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 2, due 2023-10-15T23:59:00-04:00.
    • 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 10/16.
  2. Complete Quiz 3, due 2023-10-22T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 3, due 2023-10-29T23:59:00-04:00.

Learning

  1. Watch Lecture 4 on or after Mon 10/30.
  2. Complete Quiz 4, due 2023-11-05T23:59:00-05:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 4, due 2023-11-12T23:59:00-05:00.

Neural Networks

  1. Watch Lecture 5 on or after Mon 11/13.
  2. Complete Quiz 5, due 2023-11-19T23:59:00-05:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 5, due 2023-11-26T23:59:00-05:00.
    • 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 Mon 11/27.
  2. Complete Quiz 6, due 2023-12-03T23:59:00-05:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 6, due 2023-12-10T23:59:00-05:00.

Test

  1. Read information about the test.
  2. Optionally attend (or watch) the review session.
  3. Complete the test, due 2023-12-18T23:59:00-05:00.