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Teaching project management is not an easy task. Part of the difficulty is the one-of-a-kind nature of projects. This book and the software that comes with it (Project Team Builder) present a unique approach to the teaching and training of project management — an approach based on a software tool that combines an interactive, dynamic case study and a simple yet effective Project Management System. The book focuses on problems that the project manager faces in planning, monitoring and controlling projects.Together with the software, the book provides the user with the opportunity to experience complex Project Management situations, understand the situation, develop alternative ways to cope with it and select the best alternative based on rigorous analysis.Project Team Builder (PTB), the software that accompanies this book, is web-based, please visit www.sandboxmodel.com.To use PTB, you must enter the unique access code provided on the inside front cover of this book. If you are using an e-book, please click here for your unique code.This book also has accompany video tutorials. Visit www.sandboxmodel.com to access the Videos.
Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users’ needs. User models can be inferred from implicitly observed information, such as the user’s interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces.
This book describes a vision of manufacturing in the twenty-first century that maximizes efficiencies and improvements by exploiting the full power of information and provides a research agenda for information technology and manufacturing that is necessary for success in achieving such a vision. Research on information technology to support product and process design, shop-floor operations, and flexible manufacturing is described. Roles for virtual manufacturing and the information infrastructure are also addressed. A final chapter is devoted to nontechnical research issues.
The main purpose of this book is to introduce the essential theories and tools for production (manufacturing operations) management for students in engineering, junior professionals in supply chain and production managers who are starting their career in a manufacturing firm.With a focus on selected key techniques and a practical application of these skills, the book uses a real-world inspired case studies while providing readers with in-depth exploration. Designed as a coaching handbook for instructors or motivated self-learners, it is an ideal resource for project-based learning.It is suitable for graduates in technology management and engineering, and professionals in the field of manufacturing who want to revise their practical knowledge while enhancing theoretical background.
Telecommunications will face a tremendous challenge in the coming years to be able to design, architect, and manage networks in such a rapidly evolving industry. Develop ment and application of heuristic methods will be fundamental to our ability to meet this challenge. Robert Doverspike, AT&T Labs Research Iraj Saniee, Bell-Labs, Lucent Technologies June PI, 1999 3 '' Journal of Heuristics, 6, 9-20 (2000) •"'Il © 2000 Kluwer Academic Publishers Telecommunications Network Case Study: Selecting a Data Network Architecture ERIC ROSENBERG AT&T Labs, Middletown, NJ 07748, USA email: eric. rosenberg@att. com Abstract This paper documents a model that was pivotal in deciding which of two archit...