Engineering: general Books
Springer Nature Switzerland AG Space Mining and Manufacturing: Off-World
Book SynopsisThis book produces convincing evidence that exploiting the potential of space could help solve many environmental and social issues affecting our planet, such as pollution, overcrowding, resource depletion and conflicts, economic inequality, social unrest, economic instability and unemployment. It also touches on the legal problems that will be encountered with the implementation of the new technologies and new laws that will need to be enacted and new organizations that will need to be formed to deal with these changes.This proposition for a space economy is not science fiction, but well within the remit of current or under development technologies. Numerous technologies are described and put together to form a coherent and feasible road map that, if implemented, could lead humankind towards a brighter future. Table of Contents1. Space Exploration: What For?.- 2. Extraterrestrial Resources and Where to Find Them.- 3. Off-World Mining.- 4. Processing of Space Resources.- 5. The Art of Manufacturing in Space.- 6. Building Factories in Space.- 7. Making it Happen.- 8. For the Benefit of Humankind.- About the Author.- Index.
£23.74
Springer Nature Switzerland AG Social Drivers In Food Technology
Book SynopsisThis unique and timely text is designed to help food science students learn to perform critical analysis of food processing technology and consider the incorporation of elements that touch on contemporary technological developments in the food sector. As the food industry adjusts to new consumer demands for safe and low processed foods, the time has come to harmonize product and process engineering with ‘relationship engineering’ from farm to fork. This increasingly allows the opportunity for food sector professionals to consider the existence of new drivers of food consumption. These newly discovered drivers are explored in great detail over the course of this book from industrial, economic and human resource viewpoints. Social Drivers In Food Technology presents a series of helpful case studies are presented covering six important food sectors: chocolate, coffee, yogurt, juice, baby food and snacks. These cases have been chosen in order to illustrate dynamic and innovative advances in food processing technology. The information provided over the course of this book has been gained through the thorough study of both scientific literature and organizational reports from food processing companies. The major economic aspects related to food technology are also outlined throughout the text. This multidisciplinary approach is motivated by the opportunity to contextualize the technological debate in strategy and organizational economics, contributing to the formation of human resources. This text is informed by the concept that one must look beyond the technology of the food processing sector and discuss opportunities that involve re-thinking product innovation and process, knowledge generation and human resource training. These innovations have been highlighted in food science & technology literature, but their economic and managerial implications have remained unexplored until now. With its informative case studies, helpful illustrations and quizzes and comprehensive, well-organized scope, Social Drivers In Food Technology is a much-needed textbook that will allow students to look at food processing technology from both industrial and economic perspectives and to consider the important human resource elements involved. Table of ContentsPART ONE - INDUSTRIAL APPROACH – Chapter 1. What are you hungry for? The history of the food industry, from its conception in the early 19th century to the present, represents a vast and ever-changing story. The distinctive informational signals transmitted by its brands have undergone an extraordinary transformation, proving to be significantly complex and in line with the evolution of the social role of processed food, especially in terms of new drivers of consumption. The main goal of this chapter is to address the past and present of this evolution in the processing technology sector. Chapter content: 1.1. Shelf life 1.2. Food and war 1.3. Taste and health Chapter 2. Back to the future The contemporary context in which the food industry is set up instigates a new product conception in which health should be associated with the consumer and society. After the history arc presented in Chapter 1, the interest of this Chapter is to discuss the ongoing dynamics that mark the sector and the technology of food processing. Chapter content: 2.1. Controversy in the dish: the need for a new product design 2.2. Food and peace 2.3. Recalculating the route Chapter 3. What is going on? How effectively does the contemporary market perspective materialize in today’s supermarket chains? Are we talking about a niche or is this new food industry route aimed at the general public a path without return? The main purpose of this chapter is to map and discuss the differentiation strategies practiced by the food industry using an innovative approach based on an exploratory study regarding the decoding of information contained in food labels. Chapter content: 3.1. Keep an eye on the food labeling 3.2. Action inside: product and process developments 3.3. Action outside: unfolding in the food value chain PART TWO - ECONOMIC FRAMEWORK – Chapter 4. Behind the brands Supermarket chains have shown a movement of brand differentiation conducted inside (product and process engineering) and outside (relationship engineering) of firm boundaries. Why has this happened? What factors can be attributed to this economic decision that may include competencies that are not a part of the core business of food companies and that appear to be more costly? At the heart of this question seems to be the need to break the main analysis bias concerning the strategy of differentiation practiced in food science and technology. Technology – if not backed by other factors – tends to prove fragile in the organizational push for competitive differentials. This is the main subject of interest of this Chapter. Chapter content: 4.1. Should I stay (inside) or Should I go (outside) 4.2.Espressowars, 4.3. Dolce gusto Chapter 5. A relationship issue Differentiation has always been a staple of the organizational world. New health drivers linked to the consumption of processed food cause companies to utilize differentiation aspects that transcend the processing limits. The process to ensure food integrity consists of sensory and nutritional nuances as well. Ensuring an ongoing positive relationship among the food industry and its partnerships in the food value chain consists of mainly rural links. However, direct developments in the governance of the value chain are expected in order to ensure that the new and more complex informational elements associated with the brand are met. This chapter will cover new bases of selection and development of suppliers and review mechanisms of incentive and control. improved quality standards and the incorporation of social nuances such as well-being and empowerment, quality perception associated with origin and shared value programs and discuss the managerial implications in terms of socio differentiation strategies and the new bases of relationship governance in the value chain. Although well-discussed in the applied social sciences and in business/economics, these topics remain marginalized in the mainstream of food science and technology and food engineering. Chapter content: 5.1. A new time, 5.2. A systemic game, of lesser or greater, complexity 5.3. Reviewing the basics 5.4. Happy food PART THREE - HUMAN RESOURCES VIEW – Chapter 6. Where are we going? In the evolution of the contemporary food industry, the quest for safe and healthy food continues to drive development and scientific knowledge, but under a complex context. This chapter is concerned with what can be expected to develop from the present story, considering the importance of exercising the out-of-the-box outlook which is essential for the continued process of knowledge generation and human resource formation. Chapter content: 6.1. Opportunities beyond the horizon 6.2. The best of times
£999.99
Springer Nature Switzerland AG Socio-economic Systems: Paradigms for the Future
Book SynopsisThis book is reflective of a science-based vision of the future development paradigm of economic and social systems. It deals with the digitization as the technological basis for the future development of economic and social systems and presents a review of groundbreaking technologies and prospects for their application. The specific character of the industry and prospects for the application of digital technologies in business are analyzed. A rationale is provided for future prospects for the sustainable development of economic and social systems in a digital economy. The authors determine the process of the formation and development of the information-oriented society, social and educational aspects of the digitization, as well as the institutional framework of the digital future of social and economic systems. The book combines the best works following the results of the 12th International Research-to-Practice Conference “Artificial Intelligence: Anthropogenic Nature vs. Social Origin” that was held by the Institute of Scientific Communications (ISC) in cooperation with the Siberian Federal University and the Krasnoyarsk Regional Fund of support of scientific and scientific–technical activities on 5–7 December 2019, in Krasnoyarsk, Russia, as well as following the results of the 3rd International Research-to-Practice Conference “Economic and Social Systems: Paradigms for the Future” that was held by the ISC in cooperation with the Pyatigorsk State University on 5–6 February 2020. The target audience of the book consists of representatives of the academic community concerned with the future prospects for the development of economic and social systems, as well as economic agents engaged in the digitization of business processes, and representatives of public agencies regulating the development of business systems for their progressivity, sustainability and competitiveness. Table of ContentsDigitization as the technological basis for the future development of economic and social systems: a review of groundbreaking technologies and prospects of their application.- Industry specifics and prospects for business application of digital technologies.- Sustainable development of economic and social systems: future prospects for the digital economy.- Formation and development of the information society: social and educational dimensions of digitization.- Institutional framework for the digital future of economic and social systems.
£123.49
Springer Nature Switzerland AG Predictive Models for Decision Support in the
Book SynopsisCOVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.Trade Review“This book is … of great interest for mathematical modelers--it nicely summarizes many important tools, with concrete examples, that could be adapted for other situations. … I strongly recommend this book to advanced undergraduate engineers and mathematicians as well as specialists dealing with dynamical system modeling.” (Arturo Ortiz-Tapia, Computing Reviews, July 26, 2022)Table of ContentsChapter 1. Prediction for Decision Support during the COVID-19 Pandemic.- Chapter 2. Epidemiology Compartmental Models - SIR, SEIR and SEIR with Intervention.- Chapter 3. Forecasting COVID-19 Time Series based on an Auto Regressive Model.- Chapter 4. Nonlinear Prediction for the COVID-19 Data based on Quadratic Kalman Filtering.- Chapter 5. Artificial Intelligence Prediction for the COVID-19 Data based on LSTM Neural Networks and H2O AutoML.- Chapter 6. Predicting the Geographic Spread of the COVID-19 Pandemic: a case study from Brazil.
£999.99
Springer Nature Switzerland AG Machine Learning for Engineers: Using data to
Book SynopsisAll engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers’ ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.Table of ContentsPart I Fundamentals 1.0 Introduction 1.1. Where machine learning can help engineers 1.2. Where machine learning cannot help engineers 1.3. Machine learning to correct idealized models 2. The Landscape of machine learning 2.1. Supervised learning 2.1.1. Regression 2.1.2. Classification 2.1.3. Time series 2.1.4. Reinforcement 2.2. Unsupervised Learning 2.3. Optimization 2.4. Bayesian statistics 2.5. Cross-validation 3. Linear Models 3.1. Linear regression 3.2. Logistic regression 3.3. Regularized regression 3.4. Case Study: Determining physical laws using regularized regression 4. Tree-Based Models 4.1. Decision Trees 4.2. Random Forests 4.3. BART 4.4. Case Study: Modeling an experiment using random forest models 5. Clustering data 5.1. Singular value decomposition 5.2. Case Study: SVD to standardize several time series 5.3. K-means 5.4. K-nearest neighbors 5.5. t-SNE 5.6. Case Study: The reflectance spectrum of different foliage Part II Deep Neural Networks 6. Feed-Forward Neural Networks 6.1. Neurons 6.2. Dropout 6.3. Backpropagation 6.4. Initialization 6.5. Regression 6.6. Classification 6.7. Case Study: The strength of concrete as a function of age and ingredients 7. Convolutional Neural Networks 7.1. Convolutions 7.2. Pooling 7.3. Residual networks 7.4. Case Study: Finding volcanoes on Venus 8. Recurrent neural networks for time series data 8.1. Basic Recurrent neural networks 8.2. Long-term, Short-Term memory 8.3. Attention networks 8.4. Case Study: Predicting future system performance Part III Advanced Topics in Machine Learning 9. Unsupervised Learning with Neural Networks 9.1. Auto-encoders 9.2. Boltzmann machines 9.3. Case study: Optimization using Inverse models 10. Reinforcement learning 10.1. Case study: controlling a mechanical gantry 11. Transfer learning 11.1. Case study: Transfer learning a simulation emulator for experimental measurements Part IV Appendices A. SciKit-Learn B. Tensorflow
£999.99
Springer Nature Switzerland AG Machine Learning for Engineers: Using data to
Book SynopsisAll engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers’ ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.Table of ContentsPart I Fundamentals 1.0 Introduction 1.1. Where machine learning can help engineers 1.2. Where machine learning cannot help engineers 1.3. Machine learning to correct idealized models 2. The Landscape of machine learning 2.1. Supervised learning 2.1.1. Regression 2.1.2. Classification 2.1.3. Time series 2.1.4. Reinforcement 2.2. Unsupervised Learning 2.3. Optimization 2.4. Bayesian statistics 2.5. Cross-validation 3. Linear Models 3.1. Linear regression 3.2. Logistic regression 3.3. Regularized regression 3.4. Case Study: Determining physical laws using regularized regression 4. Tree-Based Models 4.1. Decision Trees 4.2. Random Forests 4.3. BART 4.4. Case Study: Modeling an experiment using random forest models 5. Clustering data 5.1. Singular value decomposition 5.2. Case Study: SVD to standardize several time series 5.3. K-means 5.4. K-nearest neighbors 5.5. t-SNE 5.6. Case Study: The reflectance spectrum of different foliage Part II Deep Neural Networks 6. Feed-Forward Neural Networks 6.1. Neurons 6.2. Dropout 6.3. Backpropagation 6.4. Initialization 6.5. Regression 6.6. Classification 6.7. Case Study: The strength of concrete as a function of age and ingredients 7. Convolutional Neural Networks 7.1. Convolutions 7.2. Pooling 7.3. Residual networks 7.4. Case Study: Finding volcanoes on Venus 8. Recurrent neural networks for time series data 8.1. Basic Recurrent neural networks 8.2. Long-term, Short-Term memory 8.3. Attention networks 8.4. Case Study: Predicting future system performance Part III Advanced Topics in Machine Learning 9. Unsupervised Learning with Neural Networks 9.1. Auto-encoders 9.2. Boltzmann machines 9.3. Case study: Optimization using Inverse models 10. Reinforcement learning 10.1. Case study: controlling a mechanical gantry 11. Transfer learning 11.1. Case study: Transfer learning a simulation emulator for experimental measurements Part IV Appendices A. SciKit-Learn B. Tensorflow
£999.99
Springer Nature Switzerland AG X-Planes from the X-1 to the X-60: An Illustrated
Book SynopsisForeword by Dr. Roger D. Launius, Former NASA Chief Historian For the past 75 years, the U.S. government has invested significant time and money into advanced aerospace research, as evidenced by its many experimental X-plane aircraft and rockets. NASA's X-Planes asks a simple question: What have we gained from it all? To answer this question, the authors provide a comprehensive overview of the X-plane’s long history, from the 1946 X-1 to the modern X-60. The chapters describe not just the technological evolution of these models, but also the wider story of politics, federal budgets, and inter-agency rivalries surrounding them. The book is organized into two sections, with the first covering the operational X-planes that symbolized the Cold War struggle between the U.S. and the U.S.S.R, and the second section surveying post-Cold War aircraft and spacecraft. Featuring dozens of original illustrations of X-plane cross-sections, in-flight profiles, close-ups, and more, this book will educate general readers and specialists alike.Table of ContentsChapter 1. High-speed and high-altitude flight: The first X-planes.- Chapter 2. Specific improvements: Technology demonstrators.- Chapter 3. Prelude to the High Frontier: Early space vehicles.- Chapter 4. Flight testing for combat: Military vehicles.- Chapter 5. Aerodynamics and engines: NASA’s research agenda.- Chapter 6. Beyond the horizon: Access to space.- Index.
£22.45
Springer Nature Switzerland AG Operations Research: A Model-Based Approach
Book SynopsisThis is the third edition of a textbook that has been used in a number of undergraduate courses and covers the standard models and techniques used in decision-making in organizations. The main emphasis of the book is on modelling business-related scenarios and the generation of decision alternatives. Fully solved examples from many areas are used to illustrate the main concepts without getting bogged down in technical details. The book presents an approach to operations research that is heavily based on modelling and makes extensive use of sensitivity analyses. It is the result of the authors’ many years of combined teaching experience. The third edition includes new topics such as nonlinear programming and reliability theory, as well as additional material on multi-attribute decision-making. Each chapter includes a number of fully solved problems that allow students to practice or self-study. Additional problems are available on the book’s accompanying website.Table of Contents1. Introduction.- 2. Linear Programming.- 3. Multiobjective Programming.- 4. Nonlinear Programming.- 5. Integer Linear Programming.- 6. Network Models.- 7. Location Models.- 8. Project Networks.- 9. Machine Scheduling.- 10. Decision Analysis.- 11. Multiattribute Decision Making.- 12. Inventory Models.- 13. Stochastic Processes and Markov Chains.- 14. Reliability Theory.- 15. Waiting Line Models.- 16. Simulation.- 17. Heuristic Methods.
£999.99
Springer International Publishing AG Exploitation of a Ship's Magnetic Field
Book SynopsisSurface ship and submarine magnetic field signatures have been exploited for over 80 years by naval influence mines, and both underwater and airborne surveillance systems. The generating mechanism of the four major shipboard sources of magnetic fields is explained, along with a detailed description of the induced and permanent ferromagnetic signature characteristics. A brief historical summary of magnetic naval mine development during World War II is followed by a discussion of important improvements found in modern weapons, including an explanation of the damage mechanism for non-contact explosions. A strategy for selecting an optimum mine actuation threshold is given. A multi-layered defensive strategy against naval mines is outlined, with graphical explanations of the relationships between ship signature reduction and minefield clearing effectiveness. In addition to a brief historical discussion of underwater and airborne submarine surveillance systems and magnetic field sensing principles, mathematical formulations are presented for computing the expected target signal strengths and noise levels for several barrier types. Besides the sensor self-noise, equations for estimating geomagnetic, ocean surface wave, platform, and vector sensor motion noises will be given along with simple algorithms for their reduction.Table of ContentsIntroduction.- Shipboard Sources of Magnetic Field.- Exploitation of Magnetic Signatures by Naval Mines.- Exploitation of Magnetic Signatures by Submarine Surveillance Systems.- Summary.
£27.99
Springer International Publishing AG The Electric Century: How the Taming of Lightning
Book SynopsisThis book is about how electricity has profoundly changed the way we live, work, and play. Some twenty topics are covered, with an abundance of graphs and images to build a comprehensive picture. Each looks at the developments, and the people who initiated them, together with how one led to the next and their subsequent impact on society. Topics include electric supply, lighting through X-rays, and all those appliances that make our homes so comfortable.Most homes at the end of the twentieth century were full of electrical equipment, much of which was regarded as essential. It ran from lights, washing machines, fridges, freezers, kettles, telephones and so on, to the more subtle things such as wipers and starter motors on cars. In 1900, in all but a tiny minority of houses, there were none of these things. It is very difficult for us now to imagine a world without electrical equipment everywhere, and yet it has only taken a century. The Electric Century examines how we got from then to now. The nineteenth is often described as the century of steam from the impact it had on employment and transport, and The Electric Century makes a similar claim as the description of the twentieth. Electricity and the equipment using it are so pervasive that they have affected every corner of modern life.Trade Review“Williams is very thorough, and as with the electronics book, he or she is at his or her best when giving us historical statistics and nuggets of information about, for example, the early fragmented electricity generation companies, or Marconi's work or the development of batteries. … if you'd like to fill in some gaps in the history of technology, it's worth taking on.” (Brian Clegg, Popular Science, popsciencebooks.blogspot.com, January, 2018)“There is a good table of contents, a detailed bibliography, and a good index. This is an interesting treatise on the impact of electricity on our world. Williams’ book differs from others on this subject in the diversity of aspects covered and by also considering their social impacts on our society. A very enjoyable book.” (David B. Henderson, Computing Reviews, March, 2018)Table of Contents
£38.38
Springer Philosophy and Engineering: An Emerging Agenda
Book SynopsisWhereas science, technology, and medicine have all called forth dedicated philosophical investigations, a fourth major contributor to the technoscientific world in which we all live - that is, engineering - has been accorded almost none of the philosophical attention it deserves. This volume thus offers a first characterisation of this important new field, by some of the primary philosophers and ethicists interested in engineering and leading engineers interested in philosophical reflections. The volume deals with such questions as: What is engineering? In what respect does engineering differ from science? What ethical problems does engineering raise? By what ethical principles are engineers guided? How do engineers themselves conceive of their profession? What do they see as the main philosophical challenges confronting them in the 21st century? The authors respond to these and other questions from philosophical and engineering view points and so illustrate how together they can meet the challenges and realize the opportunities present in the necessary encounters between philosophy and engineering - encounters that are ever more important in an increasingly engineered world and its problematic futures.Trade ReviewFrom the reviews:“It is the tangible outcome of the ‘Workshop on Philosophy and Engineering’ (WPE), which took place in October 2007 in Delft (The Netherlands). … If one wants to get an impression of the variety of topics that one might study in this new and emerging area, it is a great place to start. … a book … to browse through and to keep as a work of reference.” (Ilse Oosterlaken, Science and Engineering Ethics, Vol. 16, 2010)Table of ContentsPart 1: Philosophy Editors: Carl Mitcham and Michael Davis 2. Distinguishing architects from engineers. A pilot study in differences between engineers and other technologists, Michael Davis 3. The rise of philosophy of engineering in the East and the West, Li Bo-con 4. Multiple facets of philosophy and engineering, Paul T. Durbin 5. Comparing approaches to the philosophy of engineering. Including the linguistic philosophical approach, Carl Mitcham and Robert Mackay 6. Focusing philosophy of engineering. Analyses of technical functions and beyond, Pieter E. Vermaas 7. Philosophy, engineering and the sciences, Jospeh C. Pitt 8. Engineering science as a ‘discipline of the particular’? Types of generalization in engineering sciences, Marc J. de Vries 9. How the models of engineering tell the truth, Zachary Pirtle 10. Limits to systems engineering, Maarten Ottens Part 2: Ethics Editors: P. Aarne Vesilind and Ibo van de Poel 11. Integrity and the ethical responsibilities of engineers, Alastair S. Gunn 12. Prioritizing people. Outline of an aspirational engineering ethic, W. Richard Bowen 13. Ethical principles for engineers in a global environment, Heinz C. Luegenbiehl 14. Professional ethics without a profession. A French view of engineering ethics Christelle Didier 15. Imagining worlds. Responsible engineering under conditions of epistemic opacity, Mark Coeckelbergh 16. Transferring responsibility through use plans, Auke Pols 17. Design problems and ethics, Wade Robison 18. Ethics in innovation. Cooperation and tension, Merle de Kreuk, Ibo van de Poel, Sjoerd Zwart and Mark van Loosdrecht 19. Teaching ethics to engineering students: from clean concepts to dirty tricks. The impact of practical circumstances and personal relationships on ethical decision-making, Otto Kroesen and Sybrand van der Zwaag 20. A collaborative platform for experiments in ethics andtechnology, Peter Danielson Part 3: Reflection Editors: Billy Vaughn Koen and David E. Goldberg 21. Why Philosophy? Why Now? Engineering responds to the crisis of the creative era, David E. Goldberg 22. A world of things not facts , Natasha McCarthy 23. Architecting Engineering Systems, Joel Moses 24. Bits don’t have error bars. Upward conceptualization and downward approximation, Russ Abbott 25. Metaphysics of Engineering, Taft H. Broome, Jr. 26. Engineering determinacy. The exclusiveness of technology and the presence of the indeterminate, Albrecht Fritzsche 27. The focal engineering experience, Gene Moriarty 28. Quo Vadis, Humans? Engineering the Survival of the Human Species, Billy Vaughn Koen
£89.99
Columbia University Press A Lever Long Enough
Book SynopsisTrade ReviewRobert McCaughey's history of the Columbia School of Engineering and Applied Science is an exemplary study of a largely independent but always dependent unit of the university. Begun in 1864 as the School of Mines, engineering at Columbia oscillated from a pioneer leader of its field to near irrelevance and back to national distinction. McCaughey relates these vicissitudes with candor and grace, drawing on his unparalleled knowledge of the university's history. Besides providing a uniquely valuable contribution to higher education history, this volume opens a window on enduring issues of university leadership and technological education. -- Roger L. Geiger, Distinguished Professor of Higher Education, Pennsylvania State University Comprehensive and candid, A Lever Long Enough is a worthy history of an important engineering institution. Civil EngineeringTable of ContentsIllustrations Foreword Preface Acknowledgments 1. Engineering in America-Before Engineers 2. Fast Start 1864-1889 3. A Corner in the University 1889-1929 4. The Great Depression and the Good War 1930-1945 5. Missing the Boat 1945-1964 6. Bottoming Out 1965-1975 7. Catching a Lift 1976-1980 8. Uneven Ascent 1980-1994 9. A School in Full 1995-2007 10. A Lever Long Enough: SEAS at One Hundred Fifty Notes A Bibliographic Note Index
£35.70
Yale University Press Visual Strategies
Book SynopsisFor researchers in all disciplines, this book offers a practical, hands-on course in communicating scientific findings and concepts through visual graphicsTrade Review"[Visual Strategies] will be useful for anyone who wants to make clear presentations of data of any kind. . . . The book offers general guidelines, with illustrative graphics, and many real-life case studies. The authors show how they would improve actual graphics, and they invite improvements to their improvements on their Web site, www.visual-strategies.org. . . . Ms. Frankel and Dr. DePace speak as if they were looking up from the laboratory bench. Usually their suggestions are simple, and the results are striking. Add color, subtract color, color only one part of an image - these kinds of relatively simple steps can add clarity."—Cornelia Dean, The New York Times"Smartly and accessibly designed."—Steven Heller, New York Times Book Review"In this technoscientific century, with knowledge doubling every decade, researchers and designers alike need to ramp up their presentation of the material they describe. This beautifully illustrated book shows how."—Edward O. Wilson, University Research Professor Emeritus and Honorary Curator in Entomology, Harvard University"A thoughtful and useful series of recommendations that will actually help you understand what you are doing when you are trying to make yourself clear."—Milton Glaser". . . unique. . . . an essential guide to literacy for fields that are essential to all our lives."—Steven Heller, School of Visual Arts"Many visualization books “round up the usual suspects” of well-known examples, but Visual Strategies is quite original in its choices...I’ll buy it as soon as it is available."—Patrick J. Lynch, Yale Office of Public Affairs and Communications"A user-friendly guide for scientists and engineers to express data concepts in a variety of media and well timed to address the growing demand for communication of increasingly complex scientific concepts and processes."—John Maeda, President, Rhode Island School of Design
£30.88
Amazon Digital Services LLC - Kdp Engineering Agility
£23.70
Amazon Digital Services LLC - Kdp Domande che restano
£20.07
Amazon Digital Services LLC - Kdp GCode
£11.80
Amazon Digital Services LLC - Kdp Figli dellEra AI
£14.20
Amazon Digital Services LLC - Kdp Figli dellEra AI
£13.70
Independently Published AI e Coscienza Umana
£13.09
Amazon Digital Services LLC - Kdp storia delle comunicazioni a grande distanza
£11.15
Independently Published MATLAB Programming in Practice
£16.14
Amazon Digital Services LLC - Kdp Per Il Prezzo Giusto
£10.65
Amazon Digital Services LLC - Kdp AIDriven Incident Investigations for Safer Industrial Systems
£10.15
Amazon Digital Services LLC - Kdp Job Satisfaction
£24.04
Independently Published AI Augmented GNC for Unmanned Underwater Vehicles
£14.63
Amazon Digital Services LLC - Kdp Energia solare per principianti
£13.83
Amazon Digital Services LLC - Kdp Machine Learning
£14.73
Independently Published Orbitali Magnetici
£18.13
Amazon Digital Services LLC - Kdp Digital Transfromation Enabling Product Lifecycle Management
£143.09
Independently Published Il BIM nel Nuovo Codice Appalti D.lgs. 36 2023
£19.99
Amazon Digital Services LLC - Kdp Esercizi con Flowgorithm
£15.14
Amazon Digital Services LLC - Kdp Il dominio delle macchine
£13.99
Amazon Digital Services LLC - Kdp Project X
£12.33
Amazon Digital Services LLC - Kdp Lightburn User Manual for Beginners
£13.99
Independently Published Value Stream Mastery
£11.84
Independently Published LightBurn User Guide Edition 2025
£17.13
Independently Published Intelligenza Artificiale Generativa
£14.11
Amazon Digital Services LLC - Kdp Il potere dellintelligenza artificiale
£13.86
Amazon Digital Services LLC - Kdp Hydraulic Machines
£17.32
Amazon Digital Services LLC - Kdp AI in Action
£15.88
Amazon Digital Services LLC - Kdp Production of EcoFriendly Geopolymer Concrete Using Waste Wood Ash for a Sustainable Environment
£15.70
Amazon Digital Services LLC - Kdp Primi Passi nella Programmazione
£14.07
Amazon Digital Services LLC - Kdp Il Project Management Quanto Basta Volume 1 Il Project Management e Il Progetto
£20.73
Amazon Digital Services LLC - Kdp Florida Restaurant Design Manual
£30.04
Amazon Digital Services LLC - Kdp Natures Blueprint
£12.10
Amazon Digital Services LLC - Kdp Getting Started with MATLAB
£14.36
Amazon Digital Services LLC - Kdp Fundamentals of Stress and Vibration
£33.84
Amazon Digital Services LLC - Kdp The Future of Engineering Education
£23.09
