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We recommend making an archived copy of your site if you'd like this content preserved, and we are happy to work with faculty who need assistance in recreating content located in areas that we cannot move. For more information on making an archived copy of your course, see 

Use bFree to open a Blackboard™ course archive file and display an outline of the course. Preview and extract individual content items, or extract any or all content as an independent web site that mimics the original Blackboard™ course.

We extracted the colors from 10 million Creative Commons images on Flickr. Search this collection by color. Addictive and very likely the best color search engine in the world*!

I thought I would share a training document I was asked to put together on Twitter in the classroom. The section you may be most interested in is a step-by-step guide to publishing a twitter feed to a blank page within a blackboard course. Please feel free to extract those pages if they are any use to you.

It's FREE! Processing videos with filesize up to 300 MB Analyse video files and provide in-depth information such as video codec, bitrate, resolution, frame rate... Video converter supporting all well known file formats (3GP, AMV, ASF, AVI, FLV, MKV, MOV, M4V, MP4, MPEG, MPG, RM, VOB, WMV). - Simple mode: select output video format only - Advanced mode: wider range of settings available video settings: video codec, resolution, bitrate , framerate audio settings: audio codec, bitrate, sampling rate, channels Add watermark text to a video file Cut video by setting new start and end time Crop video with just few clicks Merge several video files into a single one Demux video files (extract audio, video or subtitles from a file) Record video from a webcam or any other available input device Take video snapshots (make video thumbnails) Add (hard-coded) subitles to a video file Download flash videos from more than 20 video sharing sites

This course provides a thorough introduction to the emerging field of Information Visualization. The goal of Information Visualization is to use human perceptual capabilities to gain insights into large and abstract data sets that are difficult to extract using standard query languages. Specific abstract data sets that will be studied are: symbolic, tabular, networked, hierarchical, or textual information. The course objectives are:  *  Provide a sound foundation in human visual perception and how it relates to creating effective information visualizations.  *  Understand the key design principles for creating information visualizations.  *  Study the major existing techniques and systems in information visualization.  *  Evaluate information visualizations tools.  *  Design new, innovative visualizations.