Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton,J. Nathan Kutz
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John Monk (auth.),Chris Bissell,Chris Dillon (eds.)
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Introduction "Ways of Thinking, Ways of Seeing: Mathematical and other Modelling in Engineering and Technology" is a profound exploration into the cognitive processes and methodologies used in the realms of engineering and technology. Edited by Chris Bissell and Chris Dill
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"Ways of Thinking, Ways of Seeing: Mathematical and other Modelling in Engineering and Technology" is a profound exploration into the cognitive processes and methodologies used in the realms of engineering and technology. Edited by Chris Bissell and Chris Dillon, alongside contributions from John Monk, this book delves into the interplay between mathematical modelling and engineering practices, examining how they foster innovation and understanding.
This comprehensive volume provides insights into the differing approaches engineers and technologists employ to tackle complex problems. It begins by establishing the foundational concepts of mathematical modelling, emphasizing its crucial role in simulating real-world scenarios. The book further branches into diverse domains, showcasing how modelling varies across fields such as mechanical engineering, electrical engineering, and computer science.
Each chapter presents case studies and practical examples, demonstrating the application of theoretical models to solve tangible problems. Through this methodical approach, readers gain a deeper appreciation for the abstract ways of thinking that underpin technological advancements. The book also addresses the limitations of traditional modelling techniques, proposing innovative solutions and methodologies to overcome these challenges.
"Mathematical models are not just tools for engineers; they are a language through which we understand the universe of technology."
"Engineering is as much about perception as it is about computation; it requires the art of seeing what might be."
"Ways of Thinking, Ways of Seeing" is pivotal for professionals and students in the fields of engineering and technology. It bridges the gap between theoretical mathematics and real-world engineering challenges, proving essential for anyone looking to deepen their understanding of how models can enhance problem-solving skills and technological progress.
The book stands out for its focus on cognitive processes, offering readers insights into the intellectual habits that lead to successful engineering projects. It inspires a reflective approach to technology, pushing readers to not only consider what they know but how they use that knowledge to innovate and create.
In an era where technological advancements are at the forefront of societal change, understanding the roots of these developments is crucial. This book provides the foundational knowledge and cognitive frameworks needed to navigate and contribute to the ever-evolving landscape of engineering and technology.
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