What Every Engineer Should Know About Matlab And Simulink
What Every Engineer Should Know About Matlab And Simulink Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of What Every Engineer Should Know About Matlab And Simulink book. This book definitely worth reading, it is an incredibly well-written.
What Every Engineer Should Know about MATLAB and Simulink by Adrian B. Biran Pdf
MATLAB can be used to execute many mathematical and engineering calculations, as well as a handheld computer can-if not better. Moreover, like many other computer languages, it can perform tasks that a handheld computer cannot. Compared to other computer languages, MATLAB provides many built-in functions that make learning easier and reduce prototy
What Every Engineer Should Know about MATLAB® and Simulink® by Adrian B. Biran Pdf
MATLAB can be used to execute many mathematical and engineering calculations, as well as a handheld computer can�if not better. Moreover, like many other computer languages, it can perform tasks that a handheld computer cannot. Compared to other computer languages, MATLAB provides many built-in functions that make learning easier and reduce prototyping time. Simulink is a toolbox that extends the possibilities of MATLAB by providing a graphical interface for modeling and simulating dynamical processes. Using examples from mathematics, mechanical and electrical engineering, and control and signal processing, What Every Engineer Should Know About MATLAB and Simulink provides an introduction to these two computer environments and examines the advantages and limitations of MATLAB. It first explores the benefits of how to use MATLAB to solve problems and then process and present calculations and experimental results. This book also briefly introduces the reader to more advanced features of the software, such as object-oriented programming (OOP), and it draws the attention to some specialized toolboxes. Key features of the book include demonstrations of how to: Visualize the results of calculations in various kinds of graphical representations Write useful script files and functions for solving specific problems Avoid disastrous computational errors Convert calculations into technical reports and insert calculations and graphs into either MS Word or LaTeX This book illustrates the limitations of the computer, as well as the implications associated with errors that can result from approximations or numerical errors. Using selected examples of computer-aided errors, the author explains that the set of computer numbers is discrete and bounded�a feature that can cause catastrophic errors
What Every Engineer Should Know About Modeling and Simulation by Raymond J. Madachy,Daniel Houston Pdf
This practical book presents fundamental concepts and issues in computer modeling and simulation (M&S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M&S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results.
What Every Engineer Should Know About Modeling and Simulation by Raymond J. Madachy,Daniel Houston Pdf
This practical book presents fundamental concepts and issues in computer modeling and simulation (M&S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of generic (tool-independent) M&S concepts and enables engineering practitioners to easily learn, evaluate, and apply various available simulation concepts. Worked out examples are included to illustrate the concepts and an example modeling application is continued throughout the chapters to demonstrate the techniques. The book discusses modeling purposes, scoping a model, levels of modeling abstraction, the benefits and cost of including randomness, types of simulation, and statistical techniques. It also includes a chapter on modeling and simulation projects and how to conduct them for customer and engineer benefit and covers the stages of a modeling and simulation study, including process and system investigation, data collection, modeling scoping and production, model verification and validation, experimentation, and analysis of results.
What Every Engineer Should Know about Software Engineering by Phillip A. Laplante,Mohamad Kassab Pdf
This book offers a practical approach to understanding, designing, and building sound software based on solid principles. Using a unique Q&A format, this book addresses the issues that engineers need to understand in order to successfully work with software engineers, develop specifications for quality software, and learn the basics of the most common programming languages, development approaches, and paradigms. The new edition is thoroughly updated to improve the pedagogical flow and emphasize new software engineering processes, practices, and tools that have emerged in every software engineering area. Features: Defines concepts and processes of software and software development, such as agile processes, requirements engineering, and software architecture, design, and construction. Uncovers and answers various misconceptions about the software development process and presents an up-to-date reflection on the state of practice in the industry. Details how non-software engineers can better communicate their needs to software engineers and more effectively participate in design and testing to ultimately lower software development and maintenance costs. Helps answer the question: How can I better leverage embedded software in my design? Adds new chapters and sections on software architecture, software engineering and systems, and software engineering and disruptive technologies, as well as information on cybersecurity. Features new appendices that describe a sample automation system, covering software requirements, architecture, and design. This book is aimed at a wide range of engineers across many disciplines who work with software.
What Every Engineer Should Know About Excel by J. P. Holman,Blake K. Holman Pdf
Understanding the powerful computational and graphics capabilities of Microsoft Excel is an enormous benefit to engineers and technical professionals in almost any field and at all levels of experience. What Every Engineer Should Know About Excel is a practical guide to unlocking the features and functions of this program, using examples and screenshots to walk readers through the steps to build a strong understanding of the material. This second edition is updated to reflect the latest version of Excel (2016) and expands its scope to include data management, connectivity to external data sources, and integration with "the cloud" for optimal use of the Excel product. It also introduces the ribbon bar navigation prevalent in Microsoft products beginning with the 2007 version of MS Office. Covering a variety of topics in self-contained chapters, this handy guide will also prove useful for professionals in IT, finance, and real estate.
What Every Engineer Should Know About Digital Accessibility by Sarah Horton,David Sloan Pdf
Accessibility is a core quality of digital products to be deliberately addressed throughout the development lifecycle. What Every Engineer Should Know About Digital Accessibility will prepare readers to integrate digital accessibility into their engineering practices. Readers will learn how to accurately frame accessibility as an engineering challenge so they are able to address the correct problems in the correct way. Illustrated with diverse perspectives from accessibility practitioners and advocates, this book describes how people with disabilities use technology, the nature of accessibility barriers in the digital world, and the role of engineers in breaking down those barriers. Accessibility competence for current, emerging, and future technologies is addressed through a combination of guiding principles, core attributes and requirements, and accessibility‐informed engineering practices. FEATURES Discusses how technology can support inclusion for people with disabilities and how rigorous engineering processes help create quality user experiences without introducing accessibility barriers Explains foundational principles and guidelines that build core competency in digital accessibility as they are applied across diverse and emerging technology platforms Highlights practical insights into how engineering teams can effectively address accessibility throughout the technology development lifecycle Uses international standards to define and measure accessibility quality Written to be accessible to non‐experts in the subject area, What Every Engineer Should Know About Digital Accessibility is aimed at students, professionals, and researchers in the field of software engineering.
What Every Engineer Should Know About Data-Driven Analytics by Satish Mahadevan Srinivasan,Phillip A. Laplante Pdf
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood by every engineering discipline. It offers a detailed and focused treatment of the important machine learning approaches and concepts that can be exploited to build models to enable decision making in different domains. Utilizes practical examples from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision making Introduces various approaches to build models that exploits different algorithms Discusses predictive models that can be built through machine learning and used to mine patterns from large datasets Explores the augmentation of technical and mathematical materials with explanatory worked examples Includes a glossary, self-assessments, and worked-out practice exercises Written to be accessible to non-experts in the subject, this comprehensive introductory text is suitable for students, professionals, and researchers in engineering and data science.
What Every Engineer Should Know About the Internet of Things by Joanna F. DeFranco,Mohamad Kassab Pdf
Internet of Things (IoT) products and cyber-physical systems (CPS) are being utilized in almost every discipline and there continues to be significant increases in spending on design, development, and deployment of IoT applications and analytics within every domain, from our homes, schools, government, and industry. This practical text provides an introduction to IoT that can be understood by every engineering discipline and discusses detailed applications of IoT. Developed to help engineers navigate this increasingly important and cross-disciplinary topic, this work: Offers research-based examples and case studies to facilitate the understanding of each IoT primitive Highlights IoT’s connection to blockchain Provides and understanding of benefits and challenges of IoT and its importance to a variety of engineering disciplines Written to be accessible to non-experts in the subject, What Every Engineer Should Know About the Internet of Things communicates the importance of this technology and how it can support and challenge all interrelated actors as well as all involved assets across many domains.
What Every Engineer Should Know About Risk Engineering and Management by John X. Wang Pdf
Completely updated, this new edition uniquely explains how to assess and handle technical risk, schedule risk, and cost risk efficiently and effectively for complex systems that include Artificial Intelligence, Machine Learning, and Deep Learning. It enables engineering professionals to anticipate failures and highlight opportunities to turn failure into success through the systematic application of Risk Engineering. What Every Engineer Should Know About Risk Engineering and Management, Second Edition discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics, as it highlights how AI can present new and unique ways that failures can take place. The new edition extends the term "Risk Engineering" introduced by the first edition, to Complex Systems in the new edition. The book also relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition and introduces new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapter updates to make the book current. Features Discusses Risk Engineering and how to deal with System Complexity and Engineering Dynamics Highlights how AI can present new and unique ways of failure that need to be addressed Extends the term "Risk Engineering" introduced by the first edition to Complex Systems in this new edition Relates Decision Tree which was explored in the first edition to Fault Diagnosis in the new edition Includes new chapters on System Complexity, AI, and Causal Risk Assessment along with other chapters being updated to make the book more current The audience is the beginner with no background in Risk Engineering and can be used by new practitioners, undergraduates, and first-year graduate students.
What Every Engineer Should Know About Smart Cities by Valdemar Vicente Graciano Neto,Mohamad Kassab Pdf
Get ready to be at the forefront of the future of urban development! As cities continue to rapidly grow, the demand for sustainable and efficient infrastructure becomes more urgent. That’s where What Every Engineer Should Know About Smart Cities comes in, offering a comprehensive guide to the concepts and technologies driving the transformation of our cities. Delve into the world of smart cities and discover how information and communication technologies are revolutionizing urban environments. With clear definitions and a focus on real-world applications, this book explores the benefits and challenges of smart cities. It also highlights interdisciplinary topics such as smart buildings, autonomous cars, and urban emergency management systems. This book is not just a theoretical exploration of smart cities. It goes beyond that by providing an in-depth look at the key technologies that are essential to creating smart cities. From the Internet of Things and blockchain to digital twins and modeling and simulations, readers will gain a solid understanding of the foundational technologies that make smart cities possible. With detailed discussions and real-world examples of smart mobility, smart health, smart education, and smart agribusiness, readers will gain a deep understanding of the requirements and characteristics that engineers need to contribute to the development of smart cities. Whether you’re an engineer looking to expand your knowledge, a city planner seeking to understand the latest trends, or simply someone interested in the future of urban living, What Every Engineer Should Know About Smart Cities is the ultimate guide to unlocking the potential of smart cities for sustainable urban development and improved quality of life.
MATLAB and SIMULINK (A Basic Understanding for Engineers) by Pooja Mohindru,Pankaj Mohindru Pdf
MATLAB is a computer-based system designed primarily to assist the academic, research and industrial communities in solving complex technical problems. It is one of the leading software packages for carrying out programming and numerical computations. SIMULINK (Simulation and Link) is a tool integrated within MATLAB to facilitate high-tech solutions to various engineering and scientific problems. This book closes the gap between the software package and its users so that they can succeed easily in today’s competitive world. It provides the reader with the requisite understanding of these computational and block diagram environments which may further enhance employment opportunities for professionals in science and various engineering streams.
Written by a practicing business attorney with startup experience in the environmental and technology sectors, this comprehensive handbook assists entrepreneurs in tackling the wide variety of opportunities to go green. A one-stop resource for entrepreneurs, it helps readers incorporate clean technology, environmental practices, and green business approaches into the work environment. The book discusses how to sell to utilities, explores fundraising outlets for green businesses, covers government incentives, presents key startup tools aimed at green businesses, and addresses challenges of many new businesses, such as raising money and making sales. Additional resources are available on the book's website.
Engineers and scientists of all types are often required to write reports, summaries, manuals, guides, and so forth. While these individuals certainly have had some sort of English or writing course, it is less likely that they have had any instruction in the special requirements of technical writing. Filling this void, Technical Writing: A Practical Guide for Engineers and Scientists enables readers to write, edit, and publish materials of a technical nature, including books, articles, reports, and electronic media. Written by a renowned engineer and widely published technical author, this guide complements the traditional writer’s reference manuals and other books on technical writing. It helps readers understand the practical considerations in writing technical content. Drawing on his own work, the author presents many first-hand examples of writing, editing, and publishing technical materials. These examples illustrate how a publication originated as well as various challenges and solutions.
