Open.edu: Top 50 University Open Courseware Collections | DIY Learning. Harvard University - Extension School. At Harvard Extension School, free and open learning is hardly a new concept. In fact, the Extension School was founded with this mission in mind: to create an affordable way for any motivated student to take courses at Harvard. We stay true to this mission today, offering several free courses and nearly 800 for-credit courses at reasonable tuition rates. Explore our series of free or low-cost courses below. In addition, you can also browse Harvard University's Digital Learning Portal, which features online learning content from across the University, both free and fee-based options.
Video accessibility. If you are unable to easily access any of the videos below, you may submit a request for accommodation, and we will work with you on your request. Abstract Algebra In these free videotaped lectures, Professor Gross presents an array of algebraic concepts. The Ancient Greek Hero American Poetry from the Mayflower through Emerson Bits China Intensive Introduction to Computer Science Terms of Use.
Harvard Medical School - Open Courses. Harvard Computer Science Online Courses. Open Yale Courses. Stanford University - Electrical Engineering Department. Stanford University - Engineering Everywhere (SEE) Stanford University - CourseWare. Stanford University - Open Classroom. Full courses. Short Videos. Free for everyone. Learn the fundamentals of human-computer interaction and design thinking, with an emphasis on mobile web applications.
A practical introduction to Unix and command line utilities with a focus on Linux. Introduction to fundamental techniques for designing and analyzing algorithms, including asymptotic analysis; divide-and-conquer algorithms and recurrences; greedy algorithms; data structures; dynamic programming; graph algorithms; and randomized algorithms. Database design and the use of database management systems (DBMS) for applications. Machine learning algorithms that learn feature representations from unlabeled data, including sparse coding, autoencoders, RBMs, DBNs. Introduction to discrete probability, including probability mass functions, and standard distributions such as the Bernoulli, Binomial, Poisson distributions. Introduction to applied machine learning. This is a course created to test the website. UC Berkeley Video and Podcasts for Courses & Events.
MIT - OpenCourseWare. Academic Earth - Online Courses. Princeton Stanford and others - Coursera. Udacity - Free Classes. Awesome Instructors. Inspiring Community. Khan Academy.