Demystifying the Engineering PhD

Demystifying the Engineering PhD PDF

Author: Monica Cox

Publisher: Academic Press

Published: 2019-11-16

Total Pages: 203

ISBN-13: 0128016035

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Demystifying the Engineering Ph.D. explores what it means to be an engineering Ph.D. holder, including insights from engineering professionals working in academia and industry across multiple institute types and companies. Topics covered include motivations for obtaining a Ph.D., the added value of a Ph.D., and career options for Ph.D. holders. The book concludes with recommendations for transforming engineering doctoral education to preparing doctoral students for diverse careers in industry and academia. Helps readers gain insights into diverse engineering work environments and explores ways to transition across engineering sectors and careers Presents real-world experiences of engineering Ph.D.'s working in academia, industry, government and other non-traditional areas Discusses how to communicate your work to a variety of audiences

Demystifying Dissertation Writing

Demystifying Dissertation Writing PDF

Author: Peg Boyle Single

Publisher: Taylor & Francis

Published: 2023-07-03

Total Pages: 193

ISBN-13: 1000979873

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Research shows that five strategies correlate with the successful completion of a dissertation:·Establishing a consistent writing routine·Working with a support group·Consulting your advisor·Understanding your committee’s expectations·Setting a realistic and timely scheduleBuilding on these insights, this book is for anyone who needs help in preparing for, organizing, planning, scheduling, and writing the longest sustained writing project they have encountered, particularly if he or she is not receiving sufficient guidance about the process, but also for anyone looking to boost his or her writing productivity.The author uncovers much tacit knowledge, provides advice on working with dissertation advisors and committee members, presents proven techniques for the prewriting and writing stages of the dissertation, sets out a system for keeping on schedule, and advocates enlisting peer support. As Peg Boyle Single states, “my goal is quite simple and straightforward: for you to experience greater efficiency and enjoyment while writing. If you experience anxiety, blocking, impatience, perfectionism or procrastination when you write, then this system is for you. I want you to be able to complete your writing so that you can move on with the rest of your life.” Few scholars, let alone graduate students, have been taught habits of writing fluency and productivity. The writing skills imparted by this book will not only help the reader through the dissertation writing process, but will serve her or him in whatever career she or he embarks on, given the paramount importance of written communication, especially in the academy. This book presents a system of straightforward and proven techniques that are used by productive writers, and applies them to the dissertation process. In particular, it promotes the concept of writing networks – whether writing partners or groups – to ensure that writing does not become an isolated and tortured process, while not hiding the need for persistence and sustained effort.This book is intended for graduate students and their advisers in the social sciences, the humanities, and professional fields. It can further serve as a textbook for either informal writing groups led by students or for formal writing seminars offered by departments or graduate colleges. The techniques described will help new faculty advice their students more effectively and even achieve greater fluency in their own writing.

International Handbook of Engineering Education Research

International Handbook of Engineering Education Research PDF

Author: Aditya Johri

Publisher: Taylor & Francis

Published: 2023-05-23

Total Pages: 954

ISBN-13: 1000897486

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This comprehensive handbook offers a broad overview of contemporary research on engineering education and its practical application. Over the past two decades, the field of engineering education research (EER) has become a vibrant and impactful community with new journals, conferences, and doctoral and research programs established across the globe. The increased interest in this area has helped improve the education and training of the next generation of engineers, as well as supporting growth in the use of technology for teaching and learning, increased attention to broadening participation, diversity and inclusion in the field, and a wide international expansion of the field. Drawing on the work of 100 expert contributors from over 20 countries, this volume covers both emergent and established areas of research within engineering education, giving voice to newcomers to the field as well as perspectives from established experts. Contents include: Sociocognitive and affective perspectives on engineering education. Technology and online learning in engineering education. Cultural and ethical issues including diversity, equity, and inclusion in engineering education. Curriculum design, teaching practices, and teacher education at all levels. Research methods and assessment in engineering education. This book offers an innovative and in-depth overview of engineering education scholarship and practice, which will be of use to researchers in engineering education, engineering educators and faculty, teacher educators in engineering education or STEM education, and other engineering and STEM-related professional organizations. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

Demystifying AI for the Enterprise

Demystifying AI for the Enterprise PDF

Author: Prashant Natarajan

Publisher: CRC Press

Published: 2021-12-30

Total Pages: 433

ISBN-13: 1351032933

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Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Sankofa

Sankofa PDF

Author: Pamela Felder Small

Publisher: State University of New York Press

Published: 2020-08-01

Total Pages: 242

ISBN-13: 1438478011

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Sankofa reexamines doctoral education through the lens of African American and Black experiences. Drawing on the African diasporic legacy of Sankofa and the notion that "it is not wrong to go back for that which you have forgotten," the contributors "go back" to address legacies of exclusion in higher education and take care to center and honor the contributions of historically marginalized doctoral students. Whereas earlier studies focused largely on socialization, departmental norms, and statistical portraits of doctoral degree attachment, this book illuminates the ways African American students encounter, navigate, and make sense of their doctoral experiences and especially the impact of race and culture on those experiences. Individual chapters look at STEM programs, the intersections of race and gender, the role of HBCUs, and students' relationships with faculty and advisors. Amid growing diversity across programs and institutions, Sankofa provides a critical model for applying culturally based frameworks in educational research, as well as practical strategies for better understanding and responding to the needs of students of color in predominantly White contexts.

Demystifying Disability

Demystifying Disability PDF

Author: Emily Ladau

Publisher: Ten Speed Press

Published: 2021-09-07

Total Pages: 177

ISBN-13: 1984858971

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An approachable guide to being a thoughtful, informed ally to disabled people, with actionable steps for what to say and do (and what not to do) and how you can help make the world a more inclusive place ONE OF THE BEST BOOKS OF THE YEAR: NPR, Booklist • “A candid, accessible cheat sheet for anyone who wants to thoughtfully join the conversation . . . Emily makes the intimidating approachable and the complicated clear.”—Rebekah Taussig, author of Sitting Pretty: The View from My Ordinary, Resilient, Disabled Body People with disabilities are the world’s largest minority, an estimated 15 percent of the global population. But many of us—disabled and nondisabled alike—don’t know how to act, what to say, or how to be an ally to the disability community. Demystifying Disability is a friendly handbook on the important disability issues you need to know about, including: • How to appropriately think, talk, and ask about disability • Recognizing and avoiding ableism (discrimination toward disabled people) • Practicing good disability etiquette • Ensuring accessibility becomes your standard practice, from everyday communication to planning special events • Appreciating disability history and identity • Identifying and speaking up about disability stereotypes in media Authored by celebrated disability rights advocate, speaker, and writer Emily Ladau, this practical, intersectional guide offers all readers a welcoming place to understand disability as part of the human experience. Praise for Demystifying Disability “Whether you have a disability, or you are non-disabled, Demystifying Disability is a MUST READ. Emily Ladau is a wise spirit who thinks deeply and writes exquisitely.”—Judy Heumann, international disability rights advocate and author of Being Heumann “Emily Ladau has done her homework, and Demystifying Disability is her candid, accessible cheat sheet for anyone who wants to thoughtfully join the conversation. A teacher who makes you forget you’re learning, Emily makes the intimidating approachable and the complicated clear. This book is a generous and needed gift.”—Rebekah Taussig, author of Sitting Pretty: The View from My Ordinary Resilient Disabled Body

Artificial Intelligence, Machine Learning, and Data Science Technologies

Artificial Intelligence, Machine Learning, and Data Science Technologies PDF

Author: Neeraj Mohan

Publisher: CRC Press

Published: 2021-10-11

Total Pages: 311

ISBN-13: 1000460525

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This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact. The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other. The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.

Demystifying Switched Capacitor Circuits

Demystifying Switched Capacitor Circuits PDF

Author: Mingliang (Michael) Liu

Publisher: Elsevier

Published: 2006-06-12

Total Pages: 332

ISBN-13: 0080458769

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This book helps engineers to grasp fundamental theories and design principles by presenting physical and intuitive explanations of switched-capacitor circuits. Numerous circuit examples are discussed and the author emphasizes the most important and fundamental principles involved in implementing state-of-the-art switched-capacitor circuits for analog signal processing and power management applications. Throughout the book, the author presents numerous step-by-step tutorials and gives practical design examples.While some quantitative analysis is necessary to understand underlying concepts, tedious mathematical equations and formal proofs are avoided. An intuitive appreciation for switched-capacitor circuits is achieved.Much of the existing information on contemporary switched-capacitor circuit applications is in the form of applications notes and data sheets for various switched-capacitor ICs. This book compiles such information in a single volume and coherently organizes and structures it.The author has his own website at www.mingliangliu.com * Step-by-step tutorials which emphasize the most fundamental principals of switched-capacitor circuits * Few tedious mathematical equations * The first easy-to-understand compilation on this subject--most information available is not very cohesive

Industry 4.0, AI, and Data Science

Industry 4.0, AI, and Data Science PDF

Author: Vikram Bali

Publisher:

Published: 2021

Total Pages: 266

ISBN-13: 9780367562854

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The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed. Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background. Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide.

Demystifying Organizational Learning

Demystifying Organizational Learning PDF

Author: Raanan Lipshitz

Publisher: SAGE Publications

Published: 2006-06-21

Total Pages: 297

ISBN-13: 1452222517

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This book presents a solid, research-based conceptual framework that demystifies organizational learning and bridges the gap between theory and practice. Using an integrative approach, authors Raanan Lipshitz, Victor Friedman and Micha Popper provide practitioners and researchers with tools for understanding organizational learning under real-world conditions.