Courses
The objective of this class is to teach you modern AI. You will learn about the basic techniques and tricks of the trade. We also aspire to excite you about the field of AI. Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra. You should have understanding of probability theory comparable to that at our ST101: Introduction to Statistics class. This class introduces students to the basics of Artificial Intelligence, which includes machine learning, probabilistic reasoning, robotics, and natural language processing.
Covers topics seen in a first year college or high school biology course.
Topics covered in the first two or three semesters of college calculus. Everything from limits to derivatives to integrals to vector calculus. Should understand the topics in the pre-calculus playlist first (the limit videos are in both playlists)
Videos on chemistry (roughly covering a first-year high school or college course).
Introduction to programming and computer science
In this course you will learn key concepts in computer science and learn how to write your own computer programs in the context of building a web crawler. There is no prior programming knowledge needed for this course. Beginners welcome! At the end of this course, you will have learned key concepts in computer science and enough Python programming to be able to write programs to solve problems on your own. This course will prepare you to move on to more intermediate-level courses in CS.
Topics covered in a first year course in differential equations. Need to understand basic differentiation and integration from Calculus playlist before starting here.