This link has been bookmarked by 56 people . It was first bookmarked on 01 Aug 2006, by Ronin.
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maarten cannaertspodcasting at harvard
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Never again waste a moment of a commute or jog! Take Computer Science E-1 with you wherever you go, and you too shall understand computers and the Internet! Not only are Computer Science E-1's lectures available in high-resolution RealVideo and RealAudio formats for registered students, the course's lectures are also available to the world as a podcast in video and audio-only formats! In fact, you may have seen E-1 in the news. Computer Science E-1's podcast is simply a feed of MPEG-4s and MP3s that you can "subscribe" to with any podcast client (e.g., iPodder or iTunes). Once subscribed, your podcast client can automatically download classes as they released; you can then watch or simply listen to those classes on your computer or proceed to transfer them to your iPod or any other MP3 player. Like all podcasts, Computer Science E-1's feed is available as RSS (i.e., XML). To subscribe to the feed, simply tell your podcast client that you'd like to subscribe to the URL below. http://www.fas.harvard.edu/~cscie1/podcast/
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Never again waste a moment of a commute or jog! Take Computer Science E-1 with you wherever you go, and you too shall understand computers and the Internet! Not only are Computer Science E-1's lectures available in high-resolution RealVideo and RealAudio formats for registered students, the course's lectures are also available to the world as a podcast in video and audio-only formats! In fact, you may have seen E-1 in the news. Computer Science E-1's podcast is simply a feed of MPEG-4s and MP3s that you can "subscribe" to with any podcast client (e.g., iPodder or iTunes). Once subscribed, your podcast client can automatically download classes as they released; you can then watch or simply listen to those classes on your computer or proceed to transfer them to your iPod or any other MP3 player. Like all podcasts, Computer Science E-1's feed is available as RSS (i.e., XML). To subscribe to the feed, simply tell your podcast client that you'd like to subscribe to the URL below. http://www.fas.harvard.edu/~cscie1/podcast/
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