Announcements

  • Congrats on finishing CSCI E-80!

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. Fill out the sectioning preference form by 20210127T235900-0500, so that we may schedule sections and office hours and assign teaching fellows.
  2. Complete the CSCI E-80 Software Form ASAP (you’ll need it done before you submit Quiz 0).
  3. Watch Lecture 0 on or after Mon 1/25.
  4. Complete Quiz 0 on or before 20210131T235900-0500.
  5. Attend section.
  6. Optionally attend office hours.
  7. Work on Project 0, due 20210207T235900-0500.

Knowledge

  1. Watch Lecture 1 on or after Mon 2/8.
  2. Complete Quiz 1 on or before 20210214T235900-0500.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 1, due 20210221T235900-0500.

Uncertainty

  1. Watch Lecture 2 on or after Mon 2/22.
  2. Complete Quiz 2 on or before 20210228T235900-0500.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 2, due 20210307T235900-0500.

Optimization

  1. Watch Lecture 3 on or after Mon 3/8.
  2. Complete Quiz 3 on or before 20210314T235900-0400.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 3, due 20210328T235900-0400.

Learning

  1. Watch Lecture 4 on or after Mon 3/29.
  2. Complete Quiz 4 on or before 20210404T235900-0400.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 4, due 20210411T235900-0400.

Neural Networks

  1. Watch Lecture 5 on or after Mon 4/12.
  2. Complete Quiz 5 on or before 20210418T235900-0400.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 5, due 20210425T235900-0400.

Language

  1. Watch Lecture 6 on or after Mon 4/26.
  2. Complete Quiz 6 on or before 20210502T235900-0400.
  3. Attend section.
  4. Optionally attend office hours.
  5. Work on Project 6, due 20210509T235900-0400.

Test

  1. Watch a review session.
  2. Work on the test, due 20210515T235900-0400.