Announcements

  • Congratulations on finishing CSCI E-80! Final grades will be available through your DCE student portal on 7 January 2025. Happy holidays and new year to you all!

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.

Prerequisites

CS50, CSCI E-50, or CSCI S-50, CS50x, or at least one year of experience with Python.

Table of Contents

  1. Watch Lecture 0 after 2024-09-03T00:00:00-04:00.
  2. Complete Quiz 0, due 2024-09-08T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 0, due 2024-09-15T23:59:00-04:00.

Knowledge

  1. Watch Lecture 1 after 2024-09-16T00:00:00-04:00.
  2. Complete Quiz 1, due 2024-09-22T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 1, due 2024-09-29T23:59:00-04:00.

Uncertainty

  1. Watch Lecture 2 after 2024-09-30T00:00:00-04:00.
  2. Complete Quiz 2, due 2024-10-06T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 2, due 2024-10-13T23:59:00-04:00.
    • 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 after 2024-10-14T00:00:00-04:00.
  2. Complete Quiz 3, due 2024-10-20T23:59:00-04:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 3, due 2024-10-27T23:59:00-04:00.

Learning

  1. Watch Lecture 4 after 2024-10-28T00:00:00-04:00.
  2. Complete Quiz 4, due 2024-11-03T23:59:00-05:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 4, due 2024-11-10T23:59:00-05:00.

Neural Networks

  1. Watch Lecture 5 after 2024-11-11T00:00:00-05:00.
  2. Complete Quiz 5, due 2024-11-17T23:59:00-05:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 5, due 2024-11-24T23:59:00-05:00.
    • 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 after 2024-11-25T00:00:00-05:00.
  2. Complete Quiz 6, due 2024-12-01T23:59:00-05:00.
  3. Attend section, live and with webcam and audio enabled (per sections’ norms).
  4. Optionally attend office hours.
  5. Work on Project 6, due 2024-12-08T23:59:00-05:00.

Test

  1. Read information about the test.
  2. Watch the pre-recorded review session.
  3. Complete the test, due 2024-12-16T23:59:00-05:00.