CHEMISTRY DISCOVERY ASSIGNMENT #1NAME:
I've seen two of the six-episode "Elements" subsections so far, both made in the 2000s: Elements Chemistry and Elements Biology.
They're an excellent way to get a brief summary of the subject's basics. I've tried out some other short series for this purpose, but those are often bloated, boring, and, what's worse, - uninformative, leaving you frustrated and unenlightened.
Assignment Discovery is different. Take Chemistry: they give you 6 episodes. They spend the first 10-15 minutes of the episode giving you a very clear, graphically great, illuminating primer on an aspect of chemistry: the periodic table, acids and bases, hydrocarbons. They play some suitable music - bouncy but unobtrusive - in the background, and the narrators - one male, one female - switch between segments. You don't actually see them, which is a refreshing change from annoying, in-your-face narrators with their lame-looking enthusiasm. AD is made in a way that's perfect for people with concentration problems - it relaxes you into learning.
The rest of each episode will proceed in a completely different vein, and a more BBC-ish style, leisurely telling you about how the subject is topical to our lives, usually - to modern technology. You can watch that part, or you can immediately skip to the next episode and get the next condensed-info 15-minute segment from its beginning. That's what I did. Consequently, you can catch up on chemistry in a little over an hour, maybe a little longer if you're gonna take notes and/or pause to look the issue up on the Web. I had to do a couple of such searches, but mostly the presentation of the material was extremely comprehensible.
HowStuffWorks Videos "Assignment Discovery: The Middle Passage"
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Title: Assignment Discovery (1992– )
In this assignment, you will learn how to use the maximum likelihood estimation (MLE) approach to solve the truth discovery problem on Twitter and analyze the credibility of tweets from a real-world case study. To formulate the truth discovery problem in social sensing in a manner amenable to rigorous optimization, we consider a group of M sources, namely, S1, S2,...,SM, who make individual observations about aset of N measured variables*, C1, C2,...,CN. In this assignment, we consider sources asthe Twitter users who report tweets during the observation period. Measured variables are represented by the clusters of tweets (e.g., the clusters you generated in Assignment 2), which represent observations about the same topic of an event.
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This was a series for Discovery Education's show "Assignment Discovery." I wrote and produced these segments using fantastic media from the Discovery Networks' archives. We created dozens of these, nearly one for each element in the Periodic Table. Some were broadcast on the Discovery Channel. They are all now available to schools and libraries through United Streaming, and on Discovery's educational subscription site Cosmeo.
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