Analytic Methods For Design Practice

In the world of modern engineering, rigorous and definite design methodologies are needed. However, many parts of engineering design are performed in either an ad-hoc manner or based on the intuition of the engineer. This is the first book to look at both stages of the design process – conceptual design and detailed design – and detail design methodologies for every step of the design process. Case studies show how practical design problems can be solved with analytic design methods. This book is an excellent introduction to the subject. The book’s practical focus will make the book useful to practicing engineers as a practical handbook of design.

In the world of modern engineering, rigorous and definite design methodologies are needed. However, many parts of engineering design are performed in either an ad-hoc manner or based on the intuition of the engineer. This is the first book to look at both stages of the design process – conceptual design and detailed design – and detail design methodologies for every step of the design process. Case studies show how practical design problems can be solved with analytic design methods. This book is an excellent introduction to the subject. The book’s practical focus will make the book useful to practicing engineers as a practical handbook of design.

A comprehensive treatment of systems and software testing using state of the art methods and tools This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modeling. Analytic Methods in Systems and Software Testing presents its comprehensive collection of methods in four parts: Part I: Testing Concepts and Methods; Part II: Statistical Models; Part III: Testing Infrastructures; and Part IV: Testing Applications. It seeks to maintain a focus on analytic methods, while at the same time offering a contextual landscape of modern engineering, in order to introduce related statistical and probabilistic models used in this domain. This makes the book an incredibly useful tool, offering interesting insights on challenges in the field for researchers and practitioners alike. Compiles cutting-edge methods and examples of analytical approaches to systems and software testing from leading authorities in applied statistics, computer science, and software engineering Combines methods and examples focused on the analytic aspects of systems and software testing Covers logistic regression, machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability models Written by leading researchers and practitioners in the field, from diverse backgrounds including research, business, government, and consulting Stimulates research at the theoretical and practical level Analytic Methods in Systems and Software Testing is an excellent advanced reference directed toward industrial and academic readers whose work in systems and software development approaches or surpasses existing frontiers of testing and validation procedures. It will also be valuable to post-graduate students in computer science and mathematics.

The Routledge Companion to Design Research offers a comprehensive examination of design research, celebrating the plurality of design research and the wide range of conceptual, methodological, technological and theoretical approaches evident in contemporary design research. This volume comprises 39 original and high quality design research chapters from contributors around the world, with offerings from the vast array of disciplines in and around modern design praxis, including areas such as industrial and product design, visual communication, interaction design, fashion design, service design, engineering and architecture. The Companion is divided into five distinct sections with chapters that examine the nature and process of design research, the purpose of design research, and how one might embark on design research. They also explore how leading design researchers conduct their design research through formulating and asking questions in novel ways, and the creative methods and tools they use to collect and analyse data. The Companion also includes a number of case studies that illustrate how one might best communicate and disseminate design research through contributions that offer techniques for writing and publicising research. The Routledge Companion to Design Research will have wide appeal to researchers and educators in design and design-related disciplines such as engineering, business, marketing, computing, and will make an invaluable contribution to state-of-the-art design research at postgraduate, doctoral, and post-doctoral levels and teaching across a wide range of different disciplines.

Design and Analysis by Bernard Leupen, Christoph Grafe, Nicola Körnig, Marc Lampe, and Peter de Zeeuw Design and Analysis is an insightful, interdisciplinary exploration of the diversity of analytic methods used by architects, designers, urban planners, and landscape architects to understand the structure and principles of the built environment. Developed by a team headed by Bernard Leupen at Delft University of Technology, The Netherlands, Design and Analysis defies borders of history, geography, and discipline, tracing the evolution of design principles from ancient Greece to the 20th century. "Only methodical analysis gives us an insight into the design process," states architect Bernard Tschumi. Using historical examples from architecture, urban design, and landscape architecture, Design and Analysis defines an ordered system that enables the design student or professional to identify the factors that influence designers’ decisions, and shows how to relate them to the finished project. Design and Analysis is organized into six chapters that correspond to these factors: order and composition, functionality, structure, typology, context, and analytical techniques. The authors introduce the analytical drawing as a time-tested means to obtaining insight into the design process. Over 100 line drawings are featured in all. Using contemporary architectural examples to teach ancient design principles, Design and Analysis is more than just an introduction to analytical methods. The authors give an outline of space design as a whole, from individual buildings to urban and landscape ensembles. Though primarily intended for design students to help them appreciate many of the issues that they will face as professionals, Design and Analysis’s broad, easy-to-read approach makes it an invaluable handbook for designers of all disciplines.

In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.