After some of Stanford’s faculty members offered a few online free course offerings recently (not accredited by Stanford, but you got an unofficial certificate by the instructors), a couple of those instructors have launched a new company. Udacity is a portal of the new venture. Still very new and their business model is still being developed as they are likely to be a for-profit venture.
(Can read more @ Massive Courses, Sans Stanford)
Back to udacity (http://www.udacity.com), currently they are offering 2 free courses.
CS 101: BUILDING A SEARCH ENGINE
Description: This class will give you an introduction to computing. In seven weeks, you will build your own search engine complete with a web crawler and way of ranking popular pages. You will understand some of the key concepts in computer science, and learn how to write your own computer programs. No previous background in programming is expected.
CS 373: PROGRAMMING A ROBOTIC CAR
This class, taught by one of the foremost experts in AI, will teach you basic methods in Artificial Intelligence, including: probabilistic inference, computer vision, machine learning, and planning, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars. You will get a chance to visit, via video, the leading research labs in the field, and meet the scientists and engineers who are building self-driving cars at Stanford and Google.
Prerequisites: The instructor will assume solid knowledge of programming, all programming will be in Python. Knowledge of probability and linear algebra will be helpful.
You can check out the FAQ for dates and other info. Not affiliated with Google/Stanford.
Stanford is offering an AI class online but with a twist. Unlike other offerings which have notes/videos for online users – for this course, you can take and turn in the assignments, quizzes, exams etc. and be graded. At the end of it you won’t get a Stanford certificate/credit, but “You will receive a letter of completion from the instructors which will include information on how well you did.” So you won’t get official recognition from Stanford, but a private grade by the instructors and will be graded according to the same criteria as Stanford students. More of a personal assessment rather than university credit.
Instructors: Sebastian Thrun, Peter Norvig
Course Duration: 10 weeks (Oct. 10 – Dec. 16, 2011)
Online enrollment DEADLINE: Sept. 20, 2011
Prerequisites: “A solid understanding of probability and linear algebra will be required.”
Textbook will be used. Name of the textbook on the course site. Schedule of lectures, quizzes etc. also on website.
Numerous free learning resources are now present on the web, and there are a number of search engines/websites trying to aggregate the resources in an easy to navigate format. Another entrant in collecting free learning resources is Einztein. Search by keywords, subjects, tags. Filter by university or media.
Einztein (Browse by subjects)
Resources 2/4: Open Learning
In this part — a collection of Mathematics resources — hopefully useful for those seeking to learn/refresh high school, pre-college and university level maths. For Students & Adult learners, Autodidacts. Focus is on helping get up to speed to university level maths, but higher level resources are also listed. Lectures, courses, videos, textbooks…
In this part — a collection of open resources for autodidacts