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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 Mon, Sep 7, 2020, 3:59 AM UTC.
4. Attend section.
5. Optionally attend office hours.
6. Work on Project 0, due Mon, Sep 14, 2020, 3:59 AM UTC.

Knowledge

1. Watch Lecture 1 on or after Mon 9/14.
2. Complete Quiz 1 on or before Mon, Sep 21, 2020, 3:59 AM UTC.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 1, due Mon, Sep 28, 2020, 3:59 AM UTC.

Uncertainty

1. Watch Lecture 2 on or after Mon 9/28.
2. Complete Quiz 2 on or before Mon, Oct 5, 2020, 3:59 AM UTC.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 2, due Mon, Oct 12, 2020, 3:59 AM UTC.

Optimization

1. Watch Lecture 3 on or after Mon 10/12.
2. Complete Quiz 3 on or before Mon, Oct 19, 2020, 3:59 AM UTC.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 3, due Mon, Oct 26, 2020, 3:59 AM UTC.

Learning

1. Watch Lecture 4 on or after Mon 10/26.
2. Complete Quiz 4 on or before Sun, Nov 1, 2020, 4:59 PM UTC.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 4, due Mon, Nov 9, 2020, 4:59 AM UTC.

Neural Networks

1. Watch Lecture 5 on or after Mon 11/9.
2. Complete Quiz 5 on or before Mon, Nov 16, 2020, 4:59 AM UTC.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 5, due Mon, Nov 23, 2020, 4:59 AM UTC.

Language

1. Watch Lecture 6 on or after Mon 11/23.
2. Complete Quiz 6 on or before Mon, Nov 30, 2020, 4:59 AM UTC.
3. Attend section.
4. Optionally attend office hours.
5. Work on Project 6, due Mon, Dec 7, 2020, 4:59 AM UTC.

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 Tue, Dec 15, 2020, 4:59 AM UTC.