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

Search

1. Complete the CSCI E-80 Software Form ASAP (you’ll need it done before you submit Quiz 0).
2. Watch Lecture 0 on or after Mon 8/31.
3. Complete Quiz 0 on or before 20200906T235900-0400.
4. Attend section.
5. Optionally attend office hours.
6. Work on Project 0, due 20200913T235900-0400.

Knowledge

1. Watch Lecture 1 on or after Mon 9/14.
2. Complete Quiz 1 on or before 20200920T235900-0400.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 1, due 20200927T235900-0400.

Uncertainty

1. Watch Lecture 2 on or after Mon 9/28.
2. Complete Quiz 2 on or before 20201004T235900-0400.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 2, due 20201011T235900-0400.

Optimization

1. Watch Lecture 3 on or after Mon 10/12.
2. Complete Quiz 3 on or before 20201018T235900-0400.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 3, due 20201025T235900-0400.

Learning

1. Watch Lecture 4 on or after Mon 10/26.
2. Complete Quiz 4 on or before 20201101T115900-0500.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 4, due 20201108T235900-0500.

Neural Networks

1. Watch Lecture 5 on or after Mon 11/9.
2. Complete Quiz 5 on or before 20201115T235900-0500.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 5, due 20201122T235900-0500.

Language

1. Watch Lecture 6 on or after Mon 11/23.
2. Complete Quiz 6 on or before 20201129T235900-0500.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 6, due 20201206T235900-0500.

Test

1. Read information about the test.
2. Optionally attend one or both review sessions.
3. Optionally attend office hours
4. Work on the test, due 20201214T235900-0500.