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This book addresses how forward-thinking local communities are
integrating pre-college STEM education, STEM pedagogy, industry
clusters, college programs, and local, state and national policies
to improve educational experiences, drive local development, gain
competitive advantage for the communities, and lead students to
rewarding careers. This book consists of three sections:
foundational principles, city/regional case studies from across the
globe, and state and national context. The authors explore the
hypothesis that when pre-college STEM education is integrated with
city and regional development, regions can drive a virtuous cycle
of education, economic development, and quality of life. Why should
pre-college STEM education be included in regional technology
policy? When local leaders talk about regional policy, they usually
talk about how government, universities and industry should work
together. This relationship is important, but what about the
hundreds of millions of pre-college students, taught by tens of
millions of teachers, supported by hundreds of thousands of
volunteers, who deliver STEM education around the world? Leaders in
the communities featured in STEM in the Technopolis have recognized
the need to prepare students at an early age, and the power of
real-world connections in the process. The authors advocate for
this approach to be expanded. They describe how STEM pedagogy,
priority industry clusters, cross-sector collaboration, and the
local incarnations of global development challenges can be made to
work together for the good of all citizens in local communities.
This book will be of interest to government policymakers, school
administrators, industry executives, and non-profit executives. The
book will be useful as a reference to teachers, professors,
industry professional volunteers, non-profit staff, and program
leaders who are developing, running, or teaching in STEM programs
or working to improve quality of life in their communities.
This book addresses how forward-thinking local communities are
integrating pre-college STEM education, STEM pedagogy, industry
clusters, college programs, and local, state and national policies
to improve educational experiences, drive local development, gain
competitive advantage for the communities, and lead students to
rewarding careers. This book consists of three sections:
foundational principles, city/regional case studies from across the
globe, and state and national context. The authors explore the
hypothesis that when pre-college STEM education is integrated with
city and regional development, regions can drive a virtuous cycle
of education, economic development, and quality of life. Why should
pre-college STEM education be included in regional technology
policy? When local leaders talk about regional policy, they usually
talk about how government, universities and industry should work
together. This relationship is important, but what about the
hundreds of millions of pre-college students, taught by tens of
millions of teachers, supported by hundreds of thousands of
volunteers, who deliver STEM education around the world? Leaders in
the communities featured in STEM in the Technopolis have recognized
the need to prepare students at an early age, and the power of
real-world connections in the process. The authors advocate for
this approach to be expanded. They describe how STEM pedagogy,
priority industry clusters, cross-sector collaboration, and the
local incarnations of global development challenges can be made to
work together for the good of all citizens in local communities.
This book will be of interest to government policymakers, school
administrators, industry executives, and non-profit executives. The
book will be useful as a reference to teachers, professors,
industry professional volunteers, non-profit staff, and program
leaders who are developing, running, or teaching in STEM programs
or working to improve quality of life in their communities.
This book provides users with cutting edge methods and technologies
in the area of big data and visual analytics, as well as an insight
to the big data and data analytics research conducted by
world-renowned researchers in this field. The authors present
comprehensive educational resources on big data and visual
analytics covering state-of-the art techniques on data analytics,
data and information visualization, and visual analytics. Each
chapter covers specific topics related to big data and data
analytics as virtual data machine, security of big data, big data
applications, high performance computing cluster, and big data
implementation techniques. Every chapter includes a description of
an unique contribution to the area of big data and visual
analytics. This book is a valuable resource for researchers and
professionals working in the area of big data, data analytics, and
information visualization. Advanced-level students studying
computer science will also find this book helpful as a secondary
textbook or reference.
Biomedical Engineering: Health Care Systems, Technology and
Techniques is an edited volume with contributions from world
experts. It provides readers with unique contributions related to
current research and future healthcare systems. Practitioners and
researchers focused on computer science, bioinformatics,
engineering and medicine will find this book a valuable reference.
Applied Cyber-Physical Systems presents the latest methods and
technologies in the area of cyber-physical systems including
medical and biological applications. Cyber-physical systems (CPS)
integrate computing and communication capabilities by monitoring,
and controlling the physical systems via embedded hardware and
computers. This book brings together unique contributions from
renowned experts on cyber-physical systems research and education
with applications. It also addresses the major challenges in CPS,
and then provides a resolution with various diverse applications as
examples. Advanced-level students and researchers focused on
computer science, engineering and biomedicine will find this to be
a useful secondary text book or reference, as will professionals
working in this field.
"Biomedical Engineering: Health Care Systems, Technology and
Techniques" is an edited volume with contributions from world
experts. It provides readers with unique contributions related to
current research and future healthcare systems. Practitioners and
researchers focused on computer science, bioinformatics,
engineering and medicine will find this book a valuable reference.
This book provides users with cutting edge methods and technologies
in the area of big data and visual analytics, as well as an insight
to the big data and data analytics research conducted by
world-renowned researchers in this field. The authors present
comprehensive educational resources on big data and visual
analytics covering state-of-the art techniques on data analytics,
data and information visualization, and visual analytics. Each
chapter covers specific topics related to big data and data
analytics as virtual data machine, security of big data, big data
applications, high performance computing cluster, and big data
implementation techniques. Every chapter includes a description of
an unique contribution to the area of big data and visual
analytics. This book is a valuable resource for researchers and
professionals working in the area of big data, data analytics, and
information visualization. Advanced-level students studying
computer science will also find this book helpful as a secondary
textbook or reference.
Practical Applications Of Data Mining Emphasizes Both Theory And
Applications Of Data Mining Algorithms. Various Topics Of Data
Mining Techniques Are Identified And Described Throughout,
Including Clustering, Association Rules, Rough Set Theory,
Probability Theory, Neural Networks, Classification, And Fuzzy
Logic. Each Of These Techniques Is Explored With A Theoretical
Introduction And Its Effectiveness Is Demonstrated With Various
Chapter Examples. This Book Will Help Any Database And IT
Professional Understand How To Apply Data Mining Techniques To
Real-World Problems. Following An Introduction To Data Mining
Principles, Practical Applications Of Data Mining Introduces
Association Rules To Describe The Generation Of Rules As The First
Step In Data Mining. It Covers Classification And Clustering
Methods To Show How Data Can Be Classified To Retrieve Information
From Data. Statistical Functions And Drough Set Theory Are
Discussed To Demonstrate How Statistical And Rough Set Formulas Can
Be Used For Data Analytics And Knowlege Discovery. Neural Networks
Is An Important Branch In Computational Intelligence. It Is
Introduced And Explored In The Text To Investigate The Role Of
Neural Network Algorithms In Data Analytics.
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