Duality By Design

Using Africa as a context for research, new conceptual framing is proposed to make sense of the challenges of designing effective organizations to pursue socio-economic development.

Bridge the gap between business and design to improve the customer experience Businesses thrive when they can engage customers. And, while many companies understand that design is a powerful tool for engagement, they do not have the vocabulary, tools, and processes that are required to enable design to make a difference. Experience Design bridges the gap between business and design, explaining how the quality of customer experience is the key to unlocking greater engagement and higher customer lifetime value. The book teaches businesses how to think about design as a process, and how this process can be used to create a better quality of experience across the entire customer journey. Experience Design also serves as a reference tool for both designers and business leaders to help teams collaborate more effectively and to help keep focus on the quality of the experiences that are put in front of customers. Explains how to use experience-centric design for better customer engagement Offers a framework for thinking and talking about "experience design," from a company and customer perspective Authors Patrick Newbery and Kevin Farnham are the Chief Strategy Officer and CEO of Method respectively, an experience design company that solves business challenges through design to create integrated brand, product, and service experiences Improve the quality of the experiences customers have with your company and watch engagement soar.

The rapid growth in online and virtual learning opportunities has created culturally diverse classes and corporate training sessions. Instruction for these learning opportunities must adjust to meet participant needs. Online Course Management: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source for the latest scholarly material on the trends, techniques, and management of online and distance-learning environments and examines the benefits and challenges of these developments. Highlighting a range of pertinent topics, such as blended learning, social presence, and educational online games, this multi-volume book is ideally designed for administrators, developers, instructors, staff, technical support, and students actively involved in teaching in online learning environments.

Renaissance readers perceived the print book as both a thing and a medium - a thing that could be broken or reassembled, and a visual medium that had the power to reflect, transform, or deceive. At the same historical moment that print books remediated the visual and material structures of manuscript and oral rhetoric, the relationship between vision and perception was fundamentally called into question. Investigating this crisis of perception, Pauline Reid argues that the visual crisis that suffuses early modern English thought also imbricates sixteenth- and seventeenth-century print materials. These vision troubles in turn influenced how early modern books and readers interacted. Platonic, Aristotelian, and empirical models of sight vied with one another in a culture where vision had a tenuous relationship to external reality. Through situating early modern books’ design elements, such as woodcuts, engravings, page borders, and layouts, as important rhetorical components of the text, Reading by Design articulates how the early modern book responded to epistemological crises of perception and competing theories of sight.

Introduction to Optimum Design, Third Edition describes an organized approach to engineering design optimization in a rigorous yet simplified manner. It illustrates various concepts and procedures with simple examples and demonstrates their applicability to engineering design problems. Formulation of a design problem as an optimization problem is emphasized and illustrated throughout the text. Excel and MATLAB® are featured as learning and teaching aids. Basic concepts of optimality conditions and numerical methods are described with simple and practical examples, making the material highly teachable and learnable Includes applications of optimization methods for structural, mechanical, aerospace, and industrial engineering problems Introduction to MATLAB Optimization Toolbox Practical design examples introduce students to the use of optimization methods early in the book New example problems throughout the text are enhanced with detailed illustrations Optimum design with Excel Solver has been expanded into a full chapter New chapter on several advanced optimum design topics serves the needs of instructors who teach more advanced courses

Prior to the 1970's a substantial literature had accumulated on the theory of optimal design, particularly of optimal linear regression design. To a certain extent the study of the subject had been piecemeal, different criteria of optimality having been studied separately. Also to a certain extent the topic was regarded as being largely of theoretical interest and as having little value for the practising statistician. However during this decade two significant developments occurred. It was observed that the various different optimality criteria had several mathematical properties in common; and general algorithms for constructing optimal design measures were developed. From the first of these there emerged a general theory of remarkable simplicity and the second at least raised the possibility that the theory would have more practical value. With respect to the second point there does remain a limiting factor as far as designs that are optimal for parameter estimation are concerned, and this is that the theory assumes that the model be collected is known a priori. This of course underlying data to is seldom the case in practice and it often happens that designs which are optimal for parameter estimation allow no possibility of model validation. For this reason the theory of design for parameter estimation may well have to be combined with a theory of model validation before its practical potential is fully realized. Nevertheless discussion in this monograph is limited to the theory of design optimal for parameter estimation.