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Author: James Trevelyan
Publisher: CRC Press
ISBN: 1000289338
Category : Technology & Engineering
Languages : en
Pages : 252
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Book Description
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.
Author: Thomas B. Hilburn
Publisher: CRC Press
ISBN: 1466591692
Category : Computers
Languages : en
Pages : 362
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Book Description
This book is a broad discussion covering the entire software development lifecycle. It uses a comprehensive case study to address each topic and features the following: A description of the development, by the fictional company Homeowner, of the DigitalHome (DH) System, a system with "smart" devices for controlling home lighting, temperature, humidity, small appliance power, and security A set of scenarios that provide a realistic framework for use of the DH System material Just-in-time training: each chapter includes mini tutorials introducing various software engineering topics that are discussed in that chapter and used in the case study A set of case study exercises that provide an opportunity to engage students in software development practice, either individually or in a team environment. Offering a new approach to learning about software engineering theory and practice, the text is specifically designed to: Support teaching software engineering, using a comprehensive case study covering the complete software development lifecycle Offer opportunities for students to actively learn about and engage in software engineering practice Provide a realistic environment to study a wide array of software engineering topics including agile development Software Engineering Practice: A Case Study Approach supports a student-centered, "active" learning style of teaching. The DH case study exercises provide a variety of opportunities for students to engage in realistic activities related to the theory and practice of software engineering. The text uses a fictitious team of software engineers to portray the nature of software engineering and to depict what actual engineers do when practicing software engineering. All the DH case study exercises can be used as team or group exercises in collaborative learning. Many of the exercises have specific goals related to team building and teaming skills. The text also can be used to support the professional development or certification of practicing software engineers. The case study exercises can be integrated with presentations in a workshop or short course for professionals.
Author: Ben Wilson
Publisher: Simon and Schuster
ISBN: 1638356580
Category : Computers
Languages : en
Pages : 879
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Book Description
Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you'll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks. Ben introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You'll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code. About the technology Deliver maximum performance from your models and data. This collection of reproducible techniques will help you build stable data pipelines, efficient application workflows, and maintainable models every time. Based on decades of good software engineering practice, machine learning engineering ensures your ML systems are resilient, adaptable, and perform in production. About the book Machine Learning Engineering in Action teaches you core principles and practices for designing, building, and delivering successful machine learning projects. You'll discover software engineering techniques like conducting experiments on your prototypes and implementing modular design that result in resilient architectures and consistent cross-team communication. Based on the author's extensive experience, every method in this book has been used to solve real-world projects. What's inside Scoping a machine learning project for usage expectations and budget Choosing the right technologies for your design Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices About the reader For data scientists who know machine learning and the basics of object-oriented programming. About the author Ben Wilson is Principal Resident Solutions Architect at Databricks, where he developed the Databricks Labs AutoML project, and is an MLflow committer.
Author: James Trevelyan
Publisher: CRC Press
ISBN: 1000289338
Category : Technology & Engineering
Languages : en
Pages : 252
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Book Description
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.
Author: Jim Goodell
Publisher: Taylor & Francis
ISBN: 1000683257
Category : Education
Languages : en
Pages : 477
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Book Description
The Learning Engineering Toolkit is a practical guide to the rich and varied applications of learning engineering, a rigorous and fast-emerging discipline that synthesizes the learning sciences, instructional design, engineering design, and other methodologies to support learners. As learning engineering becomes an increasingly formalized discipline and practice, new insights and tools are needed to help education, training, design, and data analytics professionals iteratively develop, test, and improve complex systems for engaging and effective learning. Written in a colloquial style and full of collaborative, actionable strategies, this book explores the essential foundations, approaches, and real-world challenges inherent to ensuring participatory, data-driven, learning experiences across populations and contexts. "Introduction: What Is Learning Engineering?", "Chapter 1: Learning Engineering is a Process", and "Chapter 2: Learning Engineering Applies the Learning Sciences" are freely available as downloadable Open Access PDFs at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Author: Bill Williams
Publisher: CRC Press
ISBN: 1317999479
Category : Technology & Engineering
Languages : en
Pages : 304
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Book Description
This volume aims to provide the reader with a broad cross-section of empirical research being carried out into engineers at work. The chapters provide pointers to other relevant studies over recent decades an important aspect, we believe, because this area has only recently begun to coalesce as a field of study and up to now relevant empirical re
Author: Şenay Purzer
Publisher: Purdue University Press
ISBN: 1557536910
Category : Education
Languages : en
Pages : 469
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Book Description
In science, technology, engineering, and mathematics (STEM) education in pre-college, engineering is not the silent "e" anymore. There is an accelerated interest in teaching engineering in all grade levels. Structured engineering programs are emerging in schools as well as in out-of-school settings. Over the last ten years, the number of states in the US including engineering in their K-12 standards has tripled, and this trend will continue to grow with the adoption of the Next Generation Science Standards. The interest in pre-college engineering education stems from three different motivations. First, from a workforce pipeline or pathway perspective, researchers and practitioners are interested in understanding precursors, influential and motivational factors, and the progression of engineering thinking. Second, from a general societal perspective, technological literacy and understanding of the role of engineering and technology is becoming increasingly important for the general populace, and it is more imperative to foster this understanding from a younger age. Third, from a STEM integration and education perspective, engineering processes are used as a context to teach science and math concepts. This book addresses each of these motivations and the diverse means used to engage with them.Designed to be a source of background and inspiration for researchers and practitioners alike, this volume includes contributions on policy, synthesis studies, and research studies to catalyze and inform current efforts to improve pre-college engineering education. The book explores teacher learning and practices, as well as how student learning occurs in both formal settings, such as classrooms, and informal settings, such as homes and museums. This volume also includes chapters on assessing design and creativity.
Author: Mads Haahr
Publisher: Springer Nature
ISBN: 3031447514
Category : Computers
Languages : en
Pages : 460
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Book Description
This book constitutes the refereed proceedings of the 9th Joint International Conference on Serious Games, JCSG 2023, held in Dublin, Ireland, during October 26–27, 2023. The 18 full papers presented together with 9 short papers and 14 poster papers were carefully reviewed and selected from 53 submissions. They are grouped into the following topics: technology and systems; theoretical and design aspects; health and wellbeing; extended realities; soft and social skills; academic skills; and posters and exhibits.
Author: Isha DeCoito
Publisher: Springer Nature
ISBN: 3031606760
Category :
Languages : en
Pages : 125
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Book Description
Author: Nenad Mitrovic
Publisher: Springer Nature
ISBN: 3030583627
Category : Technology & Engineering
Languages : en
Pages : 478
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Book Description
This proceedings book is a collection of high-quality peer-reviewed research papers presented at the International Conference of Experimental and Numerical Investigations and New Technologies (CNNTech2020) held at Zlatibor, Serbia, from 29th June to 2nd July 2020. The book discusses a wide variety of industrial, engineering and scientific applications of the engineering techniques. Researchers from academia and industry present their original work and exchange ideas, experiences, information, techniques, applications and innovations in the field of mechanical engineering, materials science, chemical and process engineering, experimental techniques, numerical methods and new technologies.
Author: Vitalii Ivanov
Publisher: Springer Nature
ISBN: 3031446410
Category : Technology & Engineering
Languages : en
Pages : 101
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Book Description
This open access book offers a timely snapshot of Augmented Reality (AR) technology, with an emphasis on its application within the mechanical and manufacturing engineering domains, for both educational and industrial purposes. Reporting on the experience of the authors, the book introduces readers to the principles of product design, with an emphasis on modern strategies and approaches for user-centered design, creativity, and design for manufacturing and sustainability. It guides to the application augmented reality and visualization techniques in the design process. In turn, it describes an AR mobile application developed by the authors to transform 2D drawings into dynamic 3D objects. The book also includes exercises. All in all, this book offers a practice-oriented guide to Augmented Reality applications in mechanical engineering and education, addressing advanced undergraduate students, lecturers, and professionals in the engineering field. This is an open access book.
