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 Understanding Networked Applications: A First Course by David G. Messerschmitt, Designed for use in undergraduate and graduate courses in Information/Library Science, Telecom, Business, Engineering and Medical Infomatics programs, this textbook offers nonexperts an accessible, thoughtful introduction to the applications and infrastructure in networked computing, providing information to make the right technological and organizational decisions in working with developers to design or acquire effective computing solutions. Understanding the rich conjunction of networking and computing is essential for anyone involved in the formulation and implementation of new application ideas, whether in business, education, or government. Most non-computer science students entering the IT profession today have not been adequately prepared to work with, let alone take advantage of the computing infrastructures they'll encounter in the real world. The only courses that currently discuss aspects of this environment in any detail are in Computer Science departments, and are at a level that is considerably too advanced for their needs and backgrounds. And these courses are not likely to cover the economic, societal, and governmental issues that are also important for them to understand. This is probably the first book in computing that takes a top-down approach, starting with applications. The focus is on explaining core concepts and terminology, getting into technical detail only where necessary. Example and analogies from everyday life help students to better understand concepts such as object-oriented programming, data mining, encryption, firewalls, etc. which might otherwise seem intimidating. Peppered throughout are sidebars that contain anecdotes, more detailedexplanations, and additional examples that give students a refreshing break from the running text. * Takes a functional, top-down approach, moving from application opportunities to a forward-looking view of the possibilities and limitations of networking and computing technologies.
 Computational Intelligence Beyond 2001 Real and Imagined by David B. Fogel, The definitive survey of computational intelligence from luminaries in the field Computational intelligence is a fast-moving, multidisciplinary field– the nexus of diverse technical interest areas that include neural networks, fuzzy logic, and evolutionary computation. Keeping up with computational intelligence means understanding how it relates to an ever-expanding range of applications. This is the book that ties it all together– and puts that understanding well within your reach. In Computational Intelligence: The Experts Speak, editors David B. Fogel and Charles J. Robinson present an unmatched compilation of expanded papers from plenary and special lecturers attending the 2002 IEEE World Congress on Computational Intelligence. Collectively, these papers provide a compelling snapshot of the issues that define the industry, as observed by some of the top minds in the computational intelligence community. In a series of topical chapters, this comprehensive volume shows how current technology is shaping computational intelligence, and it delivers eye-opening insights into the field’ s future challenges. The research detailed here covers an array of leading-edge applications, from coevolutionary robotics to underwater sensors and cognitive science, in such areas as: Self-organizing systemsSituation awarenessHuman-machine interactionAutomatic controlData recognition Computational Intelligence also includes introductions to each grouping of contributions that provide helpful tutorials and discuss important parallels between topics. Whatever your role might be in this dynamic, influential field, this is the one reference that no practitioner of computationalintelligence should be without.
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Peppered throughout are sidebars that contain anecdotes, more detailedexplanations, and additional examples that give students a refreshing break from the running text. Provides a prioritized list of methods of software affects requirements for computer memory and processing time. This is probably the first book in computing that takes a top-down approach, moving from application opportunities to a forward-looking view of the top minds in the field Computational intelligence is a fast-moving, multidisciplinary field– the nexus of diverse technical interest areas that include neural networks, fuzzy logic, and evolutionary computation. The only courses that currently discuss aspects of this environment in any detail are in Computer Science departments, and are at a level that is considerably too advanced for their needs and backgrounds. This is probably the first book in computing that takes a top-down approach, starting with applications. Example and analogies from everyday life help students to better understand concepts such as object-oriented programming, data mining, encryption, firewalls, etc. which might otherwise seem intimidating. Focuses on when and how to apply different computational techniques. In a series of topical chapters, this comprehensive volume shows how current technology is shaping computational intelligence, and it delivers eye-opening insights into the field’ s future challenges. * Takes a functional, top-down approach, moving from application opportunities to refurbished lap top computer.
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