The Engineering Design of Systems compiles a wealth of information from diverse sources, providing a unique, one-stop reference of current methods and models for systems engineering. This updated edition features important new information on Systems Modeling Language (SysML), more descriptive material on usage scenarios based on literature from use case development, updated homework assignments, and use of the software product CORE to generate the SysML figures. This book serves as an excellent introductory reference suitable for students and professionals alike.

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The ideal introduction to the engineering design of systems-now in a new edition

The Engineering Design of Systems, Second Edition compiles a wealth of information from diverse sources to provide a unique, one-stop reference to current methods for systems engineering. It takes a model-based approach to key systems engineering design activities and introduces methods and models used in the real world. Features new to this edition include:

The addition of Systems Modeling Language (SysML) to several of the chapters, as well as the introduction of new terminology

Additional material on partitioning functions and components

More descriptive material on usage scenarios based on literature from use case development

Updated homework assignments

The software product CORE (from Vitech Corporation) is used to generate the traditional SE figures and the software product MagicDraw UML with SysML plugins (from No Magic, Inc.) is used for the SysML figures

This book is designed to be an introductory reference and textbook for pro-fessionals and students in systems engineering. It is also useful in related courses in engineering programs that emphasize design methods and models.

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Built on Microsoft technologies including Microsoft Office
SharePoint Server, SQL Server, Microsoft Office 2007, and Visual
Studio 2005 and 2008, the latest K2 [blackpearl] release provides
you with mature workflow management systems that can automate
processes or pull together people, services, and systems. You'll
get an introduction to workflow and business processes management,
planning and administering a K2 infrastructure, and building
processes and workflow.

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The Economist April 11 2009 | PDF | English

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A hands-on guide to making valuable decisions from data using advanced data mining methods and techniques
This second installment in the Making Sense of Data series continues to explore a diverse range of commonly used approaches to making and communicating decisions from data. Delving into more technical topics, this book equips readers with advanced data mining methods that are needed to successfully translate raw data into smart decisions across various fields of research including business, engineering, finance, and the social sciences.

Following a comprehensive introduction that details how to define a problem, perform an analysis, and deploy the results, Making Sense of Data II addresses the following key techniques for advanced data analysis:

Data Visualization reviews principles and methods for understanding and communicating data through the use of visualization including single variables, the relationship between two or more variables, groupings in data, and dynamic approaches to interacting with data through graphical user interfaces.

Clustering outlines common approaches to clustering data sets and provides detailed explanations of methods for determining the distance between observations and procedures for clustering observations. Agglomerative hierarchical clustering, partitioned-based clustering, and fuzzy clustering are also discussed.

Predictive Analytics presents a discussion on how to build and assess models, along with a series of predictive analytics that can be used in a variety of situations including principal component analysis, multiple linear regression, discriminate analysis, logistic regression, and Na?ve Bayes.

Applications demonstrates the current uses of data mining across a wide range of industries and features case studies that illustrate the related applications in real-world scenarios.

Each method is discussed within the context of a data mining process including defining the problem and deploying the results, and readers are provided with guidance on when and how each method should be used. The related Web site for the series ( Code: www.makingsenseofdata.com ) provides a hands-on data analysis and data mining experience. Readers wishing to gain more practical experience will benefit from the tutorial section of the book in conjunction with the TraceisTM software, which is freely available online.

With its comprehensive collection of advanced data mining methods coupled with tutorials for applications in a range of fields, Making Sense of Data II is an indispensable book for courses on data analysis and data mining at the upper-undergraduate and graduate levels. It also serves as a valuable reference for researchers and professionals who are interested in learning how to accomplish effective decision making from data and understanding if data analysis and data mining methods could help their organization.

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Scientific American January 2009 | PDF | English

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