Stanford University Offers Free Artificial Intelligence Course Online

Stanford University is set to offer an exciting introductory series in artificial intelligence in the fall of 2011. Continue reading to find out more about this free online course in A.I. Schools offering Robotics & Artificial Intelligence degrees can also be found in these popular choices.

artificial intelligence AI Stanford OCW free classes

About the Open Courseware Movement in Higher Education

Many postsecondary schools in the U.S., including MIT, Yale University and the University of California, Berkeley, have been offering non-credit online courses - for free - to anyone who may be interested. International institutions, such as the University of Southern Queensland and Open University, are also participating. Programs are often offered with complementary audio and video files and may provide access to text downloads and series lecture notes. Topics may include astronomy, art, anthropology, business, engineering, literature, mathematics, psychology, philosophy and science, to name a few.

Stanford's New Course Offering

Stanford University, ranked 13th in U.S. New & World Report's '2010 World's Best Universities' and continuously ranked as one of the country's top postsecondary institutions, has also been an active participant in the Open Courseware Movement. This elite institution has now decided to add an artificial intelligence course to its repertoire. University professors, renowned A.I. researchers and industry professionals Sebastian Thrun and Peter Norvig have opened their introductory class, which usually caters to 200 on-campus students, to the global public. More than 55,000 interested individuals have already signed up for the 10-week long series, which begins in early October 2011.

What to Expect from the Series

Thinking of signing up? A thorough grasp of linear algebra and probability as well as an understanding of a computer programming language is recommended. Participants will have the chance to examine how human learning and reasoning can be best replicated in a computer or robotic brain. Concepts that will be covered in this course include:

  • Planning
  • Inference
  • Knowledge representation
  • Information retrieval
  • Computer vision
  • Game playing

While lectures are not live, participants will have the chance to submit questions on a topic, which could potentially be addressed by the professors in a future taping. Those enrolled in the class will be able to participate in assignments and quizzes, which will be electronically scored and corrected. Individuals who complete the series will not be eligible for Stanford University credit. However, they will be given a certificate of completion, which will be signed by the professors and include their ranking in the class.

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