Monthly Archives: October 2012

Location, location, location

Much as we might like to think that the Internet exists somewhere out there in the proverbial cloud, there is a real physical infrastructure underlying everything on the Net.  (For a visual tour of the journey of a single bit, … Continue reading

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Big Data Analytics Predict Obama Win

Big Data Analytics Predict Obama Win Here’s an interesting article from InformationWeek   https://www.informationweek.com/big-data/news/big-data-analytics/big-data-analytics-predict-obama-win/240008049?cid=SBX_bigdata_related_news_Big_Data_Analytics_big_data&itc=SBX_bigdata_related_news_Big_Data_Analytics_big_data         which discusses how University of Illinois professor Sheldon Jacobson and American University professor Allan Lichtman have both devised different methods of election forecasting which have … Continue reading

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“Microsoft Seeks an Edge in Analyzing Big Data”

The New York Times released an interesting article yesterday, 29 OCT 2012 on Big Data Eric Horivitz entered the Microsoft research team as an MD with a Ph.D. in Computer science. His goal was to build a predictive software that … Continue reading

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Google Groups: X-info For Historians?

While doing today’s reading about the growth of popularity of the internet, I was reminded of the old Usenet threads that one can find on Google Groups.  Google Groups is a Google service which has kept Usenet bulletin boards alive by saving … Continue reading

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The Stop Light Sketch

After browsing through the sample programs on Processing.org we started thinking of ideas that pulled multiple of the programs together. We both liked the bouncing ball and wanted to try and manipulate it’s shape while it moved. After discovering the … Continue reading

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Processing Lab: “Find the Animals”

Our mini program is called “Find All of the Animals!” The main idea of our program is to move around the cursor, to find all eight of the animals. They are placed on different areas of the board, but the … Continue reading

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Processing Lab: Balloon

By: Melissa Frohman and Lucas Zaima Although a lot of the syntax was recognizable while looking at the examples, there were still many variables and methods that were not familiar to us. There were so many different dimensions to think … Continue reading

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