Informatics Engineering and Information Science, Part IV
Added by: camhuy | Karma: 1388.27 | Black Hole | 19 November 2011
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Informatics Engineering and Information Science, Part IV
This 4-Volume-Set, CCIS 0251 - CCIS 0254, constitutes the refereed proceedings of the International Conference on Informatics Engineering and Information Science, ICIEIS 2011, held in Kuala Lumpur, Malaysia, in November 2011. The papers are organized in topical sections on e-learning, information security, software engineering, image processing, algorithms, artificial intelligence and soft computing, e-commerce, data mining, neural networks, social networks, grid computing, biometric technologies, networks, distributed and parallel computing, wireless networks, information and data management, web applications and software systems, multimedia
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Scientific Computing - AMATH 581 Project-oriented computational approach to solving problems arising in the physical/engineering sciences, finance/economics, medical, social and biological sciences. Problems requiring use of advanced MATLAB routines and toolboxes. Covers graphical techniques for data presentation and communication of scientific results.
Ancient Computing Technology: From Abacuses to Water Clocks
Computing technology is as old as human society itself. What kinds of tools and techniques did ancient mathematicians use? Which of their inventions and discoveries have stood the test of time? And how did the ancients set the stage for our own modern computing? Learn more in Ancient Computing Technology.
Alan Turing: Computing Genius and Wartime Code Breaker
Alan Turing: Computing Genius and Wartime Codebreaker offers a voyage through the mathematician's mind and thought, processes and invites readers to explore mathematics, computing, artificial intelligence, and codebreaking. Researchers will find sidebars that highlight points of interest and relevant ideas, a timeline that draws attention to key points in Turing's career, and a glossary that clarifies difficult terms.
Authors Ward Cheney and David Kincaid show students of science and engineering the potential computers have for solving numerical problems and give them ample opportunities to hone their skills in programming and problem solving. The text also helps students learn about errors that inevitably accompany scientific computations and arms them with methods for detecting, predicting, and controlling these errors.
