Online courses

Academic Earth is an organization founded with the goal of giving everyone on earth access to a world-class education.

As more and more high quality educational content becomes available online for free, we ask ourselves, what are the real barriers to achieving a world class education? At Academic Earth, we are working to identify these barriers and find innovative ways to use technology to increase the ease of learning.

We are building a user-friendly educational ecosystem that will give internet users around the world the ability to easily find, interact with, and learn from full video courses and lectures from the world’s leading scholars. Our goal is to bring the best content together in one place and create an environment in which that content is remarkably easy to use and where user contributions make existing content increasingly valuable.

We invite those who share our passion to explore our website, participate in our online community, and help us continue to find new ways to make learning easier for everyone.

Academic Earth is headquartered in San Francisco, CA.

Source Academic Earth

Introduction to Psychology

Paul Bloom
(Professor of Psychology and Cognitive Science at Yale University)

University:

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Course Description

What do your dreams mean? Do men and women differ in the nature and intensity of their sexual desires? Can apes learn sign language? Why can't we tickle ourselves? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, religion, persuasion, love, lust, hunger, art, fiction, and dreams. We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury.

Course link: Introduction to Psychology

Introduction to Algorithms

Charles E. Leiserson
(Professor of Computer Science and Engineering, Department of Electrical Engineering and Computer Sciences, MIT)

University:

Status:

Course Description

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.

Course link: Introduction to Algorithms

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