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Author: Flo Conway Publisher: ISBN: 9780465013715 Category : Biography & Autobiography Languages : en Pages : 476
Book Description
Two award-winning journalists reveal the epic story of one of the 20th century's most brilliant figures--the eccentric mathematical genius Norbert Wiener, who founded the revolutionary science of cybernetics and then spent his life warning the world about its dangerous human consequences. photos.
Author: Flo Conway Publisher: ISBN: 9780465013715 Category : Biography & Autobiography Languages : en Pages : 476
Book Description
Two award-winning journalists reveal the epic story of one of the 20th century's most brilliant figures--the eccentric mathematical genius Norbert Wiener, who founded the revolutionary science of cybernetics and then spent his life warning the world about its dangerous human consequences. photos.
Author: Susan Krumdieck Publisher: CRC Press ISBN: 1000692213 Category : Nature Languages : en Pages : 255
Book Description
Transition Engineering: Building a Sustainable Future examines new strategies emerging in response to the mega-issues of global climate change, decline in world oil supply, scarcity of key industrial minerals, and local environmental constraints. These issues pose challenges for organizations, businesses, and communities, and engineers will need to begin developing ideas and projects to implement the transition of engineered systems. This work presents a methodology for shifting away from unsustainable activities. Teaching the Transition Engineering approach and methodology is the focus of the text, and the concept is presented in a way that engineers can begin applying it in their work.
Author: Caroline Baillie Publisher: Purdue University Press ISBN: 161249157X Category : Education Languages : en Pages : 224
Book Description
This book is aimed at engineering academics worldwide, who are attempting to bring social justice into their work and practice, or who would like to but don't know where to start. This is the first book dedicated specifically to University professionals on Engineering and Social Justice, an emerging and exciting area of research and practice. An international team of multidisciplinary authors share their insights and invite and inspire us to reformulate the way we work. Each chapter is based on research and yet presents the outcomes of scholarly studies in a user oriented style. We look at all three areas of an engineering academic's professional role: research, teaching and community engagement. Some of our team have created classes which help students think through their role as engineering practitioners in society. Others are focusing their research on outcomes that are socially just and for client groups who are marginalized and powerless. Yet others are consciously engaging local community groups and exploring ways in which the University might 'serve' communities at home and globally from a post-development perspective. We are additionally concerned with the student cohort and who has access to engineering studies. We take a broad social and ecological justice perspective to critique existing and explore alternative practices. This book is a handbook for any engineering academic, who wishes to develop engineering graduates as well as technologies and practices that are non-oppressive, equitable and engaged. It is also an essential reader for anyone studying in this interdisciplinary juncture of social science and engineering. Scholars using a critical theoretical lens on engineering practice and education, from Science and Technology Studies, History and Philosophy of Engineering, Engineering and Science Education will find this text invaluable.
Author: Wing Kam Liu Publisher: Springer Nature ISBN: 3030878325 Category : Technology & Engineering Languages : en Pages : 287
Book Description
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.
Author: Flo Conway
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Author: Susan Krumdieck
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Author: Caroline Baillie
Author: Wing Kam Liu
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