Mechanistic Data Science for STEM Education and Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 3030878325
Total Pages : 287 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Mechanistic Data Science for STEM Education and Applications by : Wing Kam Liu

Download or read book Mechanistic Data Science for STEM Education and Applications written by Wing Kam Liu and published by Springer Nature. This book was released on 2022-01-01 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” principles) to solve intractable problems. Traditional data science methodologies require copious quantities of data to show a reliable pattern, but the amount of required data can be greatly reduced by considering the mathematical science principles. MDS is presented here in six easy-to-follow modules: 1) Multimodal data generation and collection, 2) extraction of mechanistic features, 3) knowledge-driven dimension reduction, 4) reduced order surrogate models, 5) deep learning for regression and classification, and 6) system and design. These data science and mechanistic analysis steps are presented in an intuitive manner that emphasizes practical concepts for solving engineering problems as well as real-life problems. This book is written in a spectral style and is ideal as an entry level textbook for engineering and data science undergraduate and graduate students, practicing scientists and engineers, as well as STEM (Science, Technology, Engineering, Mathematics) high school students and teachers.

Machine Learning in Modeling and Simulation

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Publisher : Springer Nature
ISBN 13 : 3031366441
Total Pages : 456 pages
Book Rating : 4.44/5 ( download)

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Book Synopsis Machine Learning in Modeling and Simulation by : Timon Rabczuk

Download or read book Machine Learning in Modeling and Simulation written by Timon Rabczuk and published by Springer Nature. This book was released on 2023-11-04 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.

Optimizing STEM Education With Advanced ICTs and Simulations

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Author :
Publisher : IGI Global
ISBN 13 : 1522525297
Total Pages : 344 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Optimizing STEM Education With Advanced ICTs and Simulations by : Levin, Ilya

Download or read book Optimizing STEM Education With Advanced ICTs and Simulations written by Levin, Ilya and published by IGI Global. This book was released on 2017-06-05 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: The role of technology in educational settings has become increasingly prominent in recent years. When utilized effectively, these tools provide a higher quality of learning for students. Optimizing STEM Education With Advanced ICTs and Simulations is an innovative reference source for the latest scholarly research on the integration of digital tools for enhanced STEM-based learning environments. Highlighting a range of pivotal topics such as mobile games, virtual labs, and participatory simulations, this publication is ideally designed for educators, professionals, academics, and students seeking material on emerging educational technologies.

Data-Driven Science and Engineering

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Publisher : Cambridge University Press
ISBN 13 : 1108422098
Total Pages : 495 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2019-02-28 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

Critical, Transdisciplinary and Embodied Approaches in STEM Education

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Publisher : Springer Nature
ISBN 13 : 3030294897
Total Pages : 372 pages
Book Rating : 4.92/5 ( download)

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Book Synopsis Critical, Transdisciplinary and Embodied Approaches in STEM Education by : Pratim Sengupta

Download or read book Critical, Transdisciplinary and Embodied Approaches in STEM Education written by Pratim Sengupta and published by Springer Nature. This book was released on 2019-12-16 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decade, integrated STEM education research has emerged as an international concern, creating around it an imperative for technological and disciplinary innovation and a global resurgence of interest in teaching and learning to code at the K-16 levels. At the same time, issues of democratization, equity, power and access, including recent decolonizing efforts in public education, are also beginning to be acknowledged as legitimate issues in STEM education. Taking a reflexive approach to the intersection of these concerns, this book presents a collection of papers making new theoretical advances addressing two broad themes: Transdisciplinary Approaches in STEM Education and Bodies, Hegemony and Decolonization in STEM Education. Within each theme, praxis is of central concern including analyses of teaching and learning that re-imagines disciplinary boundaries and domains, the relationship between Art and STEM, and the design of learning technologies, spaces and environments. In addition to graduate research seminars at the Masters and PhD levels in Learning Sciences, Science Education, Educational Technology and STEM education, this book could also serve as a textbook for graduate and pre-service teacher education courses.

Data Science

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Publisher : Chapman & Hall/CRC
ISBN 13 : 9781032254494
Total Pages : 0 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Data Science by : Pallavi Chavan

Download or read book Data Science written by Pallavi Chavan and published by Chapman & Hall/CRC. This book was released on 2022-08-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science. Key Features * Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. * Presents predictive outcomes by applying data science techniques to real-life applications. * Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. * Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields. The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.

Artificial Intelligence in STEM Education

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Publisher : CRC Press
ISBN 13 : 1000814718
Total Pages : 396 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Artificial Intelligence in STEM Education by : Fan Ouyang

Download or read book Artificial Intelligence in STEM Education written by Fan Ouyang and published by CRC Press. This book was released on 2022-12-29 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) opens new opportunities for STEM education in K-12, higher education, and professional education contexts. This book summarizes AI in education (AIED) with a particular focus on the research, practice, and technological paradigmatic shifts of AIED in recent years. The 23 chapters in this edited collection track the paradigmatic shifts of AIED in STEM education, discussing how and why the paradigms have shifted, explaining how and in what ways AI techniques have ensured the shifts, and envisioning what directions next-generation AIED is heading in the new era. As a whole, the book illuminates the main paradigms of AI in STEM education, summarizes the AI-enhanced techniques and applications used to enable the paradigms, and discusses AI-enhanced teaching, learning, and design in STEM education. It provides an adapted educational policy so that practitioners can better facilitate the application of AI in STEM education. This book is a must-read for researchers, educators, students, designers, and engineers who are interested in the opportunities and challenges of AI in STEM education.

A Framework for K-12 Science Education

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Publisher : National Academies Press
ISBN 13 : 0309214459
Total Pages : 400 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis A Framework for K-12 Science Education by : National Research Council

Download or read book A Framework for K-12 Science Education written by National Research Council and published by National Academies Press. This book was released on 2012-02-28 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science, engineering, and technology permeate nearly every facet of modern life and hold the key to solving many of humanity's most pressing current and future challenges. The United States' position in the global economy is declining, in part because U.S. workers lack fundamental knowledge in these fields. To address the critical issues of U.S. competitiveness and to better prepare the workforce, A Framework for K-12 Science Education proposes a new approach to K-12 science education that will capture students' interest and provide them with the necessary foundational knowledge in the field. A Framework for K-12 Science Education outlines a broad set of expectations for students in science and engineering in grades K-12. These expectations will inform the development of new standards for K-12 science education and, subsequently, revisions to curriculum, instruction, assessment, and professional development for educators. This book identifies three dimensions that convey the core ideas and practices around which science and engineering education in these grades should be built. These three dimensions are: crosscutting concepts that unify the study of science through their common application across science and engineering; scientific and engineering practices; and disciplinary core ideas in the physical sciences, life sciences, and earth and space sciences and for engineering, technology, and the applications of science. The overarching goal is for all high school graduates to have sufficient knowledge of science and engineering to engage in public discussions on science-related issues, be careful consumers of scientific and technical information, and enter the careers of their choice. A Framework for K-12 Science Education is the first step in a process that can inform state-level decisions and achieve a research-grounded basis for improving science instruction and learning across the country. The book will guide standards developers, teachers, curriculum designers, assessment developers, state and district science administrators, and educators who teach science in informal environments.

The Learning-Centered University

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Publisher : JHU Press
ISBN 13 : 1421448033
Total Pages : 230 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis The Learning-Centered University by : Steven Mintz

Download or read book The Learning-Centered University written by Steven Mintz and published by JHU Press. This book was released on 2024-01-30 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential guide to transforming the college experience for student success. In The Learning-Centered University, renowned historian Steven Mintz unveils a comprehensive blueprint for addressing the critical issues of stagnating incomes and productivity, persistent wealth inequalities, and political polarization plaguing colleges and universities today. With practical strategies and a deep understanding of the history and future of higher education, Mintz outlines how we can transform higher education to promote access, affordability, degree attainment, and equity. Mintz provides a thought-provoking analysis of the challenges facing higher education, from the growing disparities in resources and facilities to the need for a more holistic approach to students' development. He offers actionable solutions to create a more interactive, engaging, and skills-focused learning environment. From seamless community college transfers to embedding career preparation throughout the undergraduate experience, Mintz steers institutions toward a future that embraces innovation and student success. This essential guide also explores the transformative potential of technology in education, the importance of equity and student support services, and the future of the humanities. Drawing on his vast teaching experience and expertise in student success, Mintz provides practical insights and strategies for driving academic innovation and overcoming resistance to change. The Learning-Centered University is an invaluable resource for educators, administrators, and policy makers who are dedicated to offering a more equitable, accessible, and impactful learning experience for all students.

A Hands-On Introduction to Data Science

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Publisher : Cambridge University Press
ISBN 13 : 1108472443
Total Pages : 459 pages
Book Rating : 4.49/5 ( download)

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Book Synopsis A Hands-On Introduction to Data Science by : Chirag Shah

Download or read book A Hands-On Introduction to Data Science written by Chirag Shah and published by Cambridge University Press. This book was released on 2020-04-02 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.