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Written for students and hobbyists, this crash course teaches the basics of electronics, components and circuitry in an easily understood way. The last chapter deals with fault finding.
Crash Course in Digital Technology teaches the basics of digital electronics theory and circuits in an easy-to-understand format. Each chapter includes learning objectives, clear explanations and examples, and an end-of-chapter self-quiz. The drill-and-review software included with the book allows learners to test themselves on the contents of each chapter, providing a second reinforcement of the material. A final chapter teaches the basics of troubleshooting digital circuits. With the two other Crash Course books, Electronics Technology and Microprocessor Technology, this book forms a complete course in electronics and microcomputer technology appropriate for technical schools, industrial training, and hobbyists. Louis Frenzel is an experienced electronics engineer and educator, as well as the author of many magazine articles and texts. He is currently an instructor at Austin Community College in Austin, Texas. Drill-and-review software included Clear, easy format Self-paced introduction to digital electronics
Crash Course in Electronics Technology teaches the basics of electronics, components, and circuits in an easy-to-understand format. Each chapter includes learning objectives, clear explanations and examples, and an end-of-chapter self-quiz. The drill-and-review software included with the book allows the learners to test themselves on the contents of each chapter, providing a second way to reinforce the material. A final chapter teaches the basics of troubleshooting circuits. Louis Frenzel is an experienced electronics engineer and educator, as well as the author of many magazine articles and texts. He is currently based in Texas. Drill-and-review software included. Clear, easy format. Self-paced introduction to electronics theory.
Electronics Explained, Second Edition, takes a systems based approach to the fundamentals of electronics, covering the different types of electronic circuits, how they work, and how they fit together to create modern electronic equipment, enabling you to apply, use, select, operate and discuss common electronic products and systems. This new edition has been updated to show the latest technological trends with added coverage of: - Internet of Things (IoT) - Machine-to-Machine (M2M) technology - Ethernet to 100 Gb/s - Wi-Fi, Bluetooth and other wireless technologies - 5G New Radio cellular standards - Microcontrollers and programming with the Arduino, BASIC Stamp and others - Learn about the basic components of electronics such as resistors, capacitors, inductors, transformers, diodes, transistors, and integrated circuits - Discover different types of circuits, using the functional block diagram approach which makes it easy to understand their purpose and application - Get involved with Hands-On projects in each chapter, using components and ICs with the breadboarding socket
This book is a concise introductory guide to understanding the field of modern batteries, which is fast becoming an important area for applications in renewable energy storage, transportation, and consumer devices. By using simplified classroom-tested methods developed while teaching the subject to engineering students, the author explains in simple language an otherwise complex subject in terms that enable readers to gain a rapid understanding of battery basics and the fundamental scientific and engineering concepts and principles behind the technology. This powerful tutorial is a great resource for engineers from other disciplines, technicians, analysts, investors, and other busy professionals who need to quickly acquire a solid understanding of the fast emerging and disruptive battery landscape.
​Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.
What do we know about the current realities of work and its likely futures? What choices must we make and how will they affect those futures? Many books about the future of work start by talking about the latest technology, and focus on how technology is going to change the way we work. And there is no doubt that technology will have huge impacts. However, to really understand the direction in which work is going, and the impact that technology and other forces will have, we need to first understand where we are. This book covers topics ranging from the ‘mega-drivers of change’ at work, power, globalisation and financialisation, to management, workers, digitalisation, the gig economy, gender, climate change, regulation and deregulation. In doing this, it refers to some of the great works of science fiction. It demolishes several myths, such as that the employment relationship is doomed, that we are all heading to becoming ‘freelancers’ or ‘gig workers’ one day, that most jobs will be destroyed by technological change, that the growth in jobs will mainly be in STEM fields, that we will no longer value collectivism as we will all be ‘individuals’, or that the death of unionism is inevitable. The Realities and Futures of Work also rejects the idea of technological determinism—that whatever will be, will be, thanks to technological change—and so it refuses to accept that we simply need to prepare to adapt ourselves to the future by judicious training since there is nothing else we can do about it. Instead, this book provides a realistic basis for thinking about both the present and the future. It emphasises the choices we make, and the implications of those choices for the future of work.
"This comprehensive reference work provides immediate, fingertip access to state-of-the-art technology in nearly 700 self-contained articles written by over 900 international authorities. Each article in the Encyclopedia features current developments and trends in computers, software, vendors, and applications...extensive bibliographies of leading figures in the field, such as Samuel Alexander, John von Neumann, and Norbert Wiener...and in-depth analysis of future directions."
IPTV is the technology used on the wildly popular video iPods.