Learning Engineering Practice
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This book explains engineering practice, what engineers actually do in their work. The first part explains how to find paid engineering work and prepare for an engineering career. The second part explains the fundamentals of engineering practice, including how to gain access to technical knowledge, how to gain the willing collaboration of other people to make things happen, and how to work safely in hazardous environments. Other chapters explain engineering aspects of project management missed in most courses, how to create commercial value from engineering work and estimate costs, and how to navigate cultural complexities successfully. Later chapters provide guidance on sustainability, time management and avoiding the most common frustrations encountered by engineers at work. This book has been written for engineering students, graduates and novice engineers. Supervisors, mentors and human resources professionals will also find the book helpful to guide early-career engineers and assess their progress. Engineering schools will find the book helpful to help students prepare for professional internships and also for creating authentic practice and assessment exercises.
Electrical Engineering
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Fundamentals of Electrical Engineering is an excellent introduction into the areas of electricity, electronic devices and electrochemistry. The book covers aspects of electrical science including Ohm and Kirkoff's laws, P-N junctions, semiconductors, circuit diagrams, magnetic fields, electrochemistry, and devices such as DC motors. This text is useful for students of electrical, chemical, materials, and mechanical engineering.
Introductory Electrical Engineering with Math Explained in Accessible Language
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Offers an understanding of the theoretical principles in electronic engineering, in clear and understandable terms Introductory Electrical Engineering With Math Explained in Accessible Language offers a text that explores the basic concepts and principles of electrical engineering. The author--a noted expert on the topic--explains the underlying mathematics involved in electrical engineering through the use of examples that help with an understanding of the theory. The text contains clear explanations of the mathematical theory that is needed to understand every topic presented, which will aid students in engineering courses who may lack the necessary basic math knowledge. Designed to breakdown complex math concepts into understandable terms, the book incorporates several math tricks and knowledge such as matrices determinant and multiplication. The author also explains how certain mathematical formulas are derived. In addition, the text includes tables of integrals and other tables to help, for example, find resistors' and capacitors' values. The author provides the accessible language, examples, and images that make the topic accessible and understandable. This important book: * Contains discussion of concepts that go from the basic to the complex, always using simplified language * Provides examples, diagrams, and illustrations that work to enhance explanations * Explains the mathematical knowledge that is crucial to understanding electrical concepts * Contains both solved exercises in-line with the explanations Written for students, electronic hobbyists and technicians, Introductory Electrical Engineering With Math Explained in Accessible Language is a much-needed text that is filled with the basics concepts of electrical engineering with the approachable math that aids in an understanding of the topic.
Dive Into Systems: A Gentle Introduction to Computer Systems
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Dive into systems serves as an introduction to computer systems, computer organization, and parallel computing.
Machine Learning Engineering in Action
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Machine Learning Engineering in Action lays out an approach to building deployable, maintainable production machine learning systems. You will adopt software development standards that deliver better code management, and make it easier to test, scale, and even reuse your machine learning code! You will learn how to plan and scope your project, manage cross-team logistics that avoid fatal communication failures, and design your code's architecture for improved resilience. You will even discover when not to use machine learning--and the alternative approaches that might be cheaper and more effective. When you're done working through this toolbox guide, you will be able to reliably deliver cost-effective solutions for organizations big and small alike. Following established processes and methodology maximizes the likelihood that your machine learning projects will survive and succeed for the long haul. By adopting standard, reproducible practices, your projects will be maintainable over time and easy for new team members to understand and adapt.
The IEEE Xplore digital library provides access to the world's highest quality technical literature in electronics, electrical engineering, computing, biomedical engineering and related technologies. This includes full text access to over 5.4 million documents including IEEE journal articles, magazine articles, conference papers, and active standards.
The largest IEEE book publishing division, IEEE Press publishes technical books in all the fields served by IEEE and includes original monographs, edited volumes, and reference works for the engineering community, as well as introductory technology books intended for the general public. IEEE Press books are published in print and eBook format. The staff of the IEEE Press and John Wiley & Sons work with the IEEE Press Editorial Board to identify book projects to be published by co-publishing partners John Wiley & Sons through a collaborative publishing agreement signed in 2001 and renewed in 2014.
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