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Thanks to everyone for your patience with the slowness of the site. Our servers were the target of an attack today and at this point everything should be back to normal. Clarification on Final Question 9
Having already prepared lots of materials, I jumped on the free-to-the-world bandwagon, as did my colleague Andrew Ng with his machine learning course . What transpired over the next ten weeks was one of the most rewarding things I've done in my life. The sign-ups poured in, and soon the "Q&A Forum" was buzzing with activity. The fact that I had a lot of materials ready before the course started turned out to be a bit deceptive—for ten weeks I worked nearly full-time on the course (never mind my other job as department chair, much less my research program), in part because there was a lot to do, but mostly because there was a lot I could do to make it even better, and I was having a grand time.
Three thousand non-science major undergraduates at the University of Chicago have taken this class since 1996, and learned the science behind the forecast for a human influence on Earth's climate. The story combines physics, chemistry, biology, and Earth and atmospheric science. The content of this class is now being served to the internet world at large. You can watch video lectures followed by quizzes to stimulate your understanding, and work your way through tutorial exercises letting you get hands-on with interactive models and simple mathematical ideas. You can work at your own pace, on your own time. You don't get University of Chicago credit, but it's free, and if you complete the exercises you can download a certificate of accomplishment signed by me.