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Books > Science & Mathematics > General
Write, Present, Create: Science Communication for Undergraduates
helps non-science major students successfully complete papers,
presentations, and new media projects in undergraduate science
courses. This guide will help students create original work that is
scientifically robust in content and structure, and encourage them
to support their ideas with the best available scientific evidence.
This short, focused guide addresses multiple aspects of
communicating in the sciences with an emphasis on biology and
environmental science. Students learn to effectively identify and
use reputable sources including those found online. They also learn
how to organize their research, plan projects, correctly cite
sources, and self-edit. The chapter on presentations details how to
create a powerful slide deck and offers tips for an engaging
delivery. This new edition offers suggestions on creating high
quality videos and animations, as well as maximizing study time in
and out of the classroom. By providing easy to read, easy to use
guidance on creating scientifically sound work, Write, Present,
Create eliminates the anxiety many non-majors feel in required
science courses. The book is specifically designed for
undergraduate students taking general education science courses in
a college, university, or advanced placement setting.
The future of American STEM education is here...in every state,
there are thousands students that would benefit from science
education, if only they had the resources, support systems and
psychological ownership. There are brilliant young minds that could
be called on to solve a myriad of world problems, earning money and
respect in the process. But these students don't see science as a
viable option for a life. Or they do but there are no textbooks in
the classroom, or the teacher is the fifth one this semester...and
he is on the verge of leaving too. If STEM (science, technology,
engineering and mathematics) careers are the future driving force
of the American economy; and if only an anointed few American
students choose STEM as a career path, where will that leave us as
a nation as we strive to compete on the global stage? Will America
maintain its position as leader of the free world? Can a country
that shuns the word "elite" ever maintain its elite status?
Everything we value depends on this; our national security,
reputation, and quality of life all depend on our ability to meet
the needs of future generations of American workers as they compete
for jobs. Jobs that will require problem solving skills,
innovation, creativity, scientific literacy, and mathematical
knowledge. Jobs that will require Americans who are tops in their
fields with expertise, intellectual curiosity, ambition and vision.
This book seeks to address these problems, as well as providing an
historical backdrop for the discussion of STEM in American schools,
race and gender issues, the effects of the standards movement on
STEM, and what good teaching looks like in urban public schools.
The future is here. Will we rise to the occasion?
Presented in a clear and straightforward analysis, this book
explores quantum mechanics and the application of quantum mechanics
to interpret spectral phenomena. Specifically, the book discusses
the relation between spectral features in mid or rear infrared
regions, or in Raman scattering spectrum, and interactions between
molecules or molecular species such as molecular ions, and their
respective motions in gaseous or crystalline conditions. Beginning
with an overview of conventional methods and problems which arise
in molecular spectroscopy, the second half of the book suggests
original techniques to investigate the area. The treatment is based
on rigorous quantum-mechanical theories and procedures that are
readily implemented in either manual methods or with symbolic
computational software.
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.
All those who like to have a constructively critical look at
science and all its activities and all those who dearly expect
science to be human and holistic in all its endeavours, I hope,
will find this journey inspiring and informative. Main features of
this book are as follow: (i) to show that science is neither the
paradigm of absolute knowledge, rational and objective to the core,
nor an enterprise where 'anything goes', with no rationality, no
stability, no methodology and no objectivity; (ii) to show that
both the rational and the non-rational models of science don't give
the actual picture of science, as it is revealed and substantiated
by the recent historians of science; (iii) to show the need to go
beyond the traditional accounts of rationality in order to have an
adequate of understanding of what happens in the realm of science,
including the issues of rationality in science; (iv) to explicate
some features of the notion of reasonableness and show how these
factors, especially the notion of Consensus in the Scientific
Community, which are usually neglected in the traditional accounts
of science, need to be earnestly considered to arrive at an
integrated understanding of rationality in science in terms of
reasonableness; and (v) to bring out some of the implications of
taking reasonableness seriously in the Cotemporary Science and
Society.
2. Each chapter opens with necessary definitions and complete
proofs of the standard theorems and results. These in turn are
followed by solved examples which have been classified in various
types and methods. This classification will help the students to
revise the subject matter at the time of examination without losing
any confidence. 3. Care has been taken not to omit even a minor
step so that the students can understand everything without the
guidance of a teacher. Hence even an average student will be able
to grasp the subject matter easily. Furthermore, the problems have
been graded in every chapter to instill confidence in the students.
4. Up-to-date yearwise reference of various examination papers have
been given throughout the book. 5. At the end of each chapter
objective type questions have been given in keeping with the latest
trend of question papers. 6. This book serves as a suitable
textbook, help book, reference book and question bank for all
examinations.
that it is difficult for us to realize that their general
acceptance in the transactions of commerce is a matter of only the
last four centuries, and that they are unknown to a very large part
of the human race today. It seems strange that such a laborsaving
device should have struggled for nearly a thousand years after its
system of place value was perfected before it replaced such crude
notations as the one that the Roman conqueror made sustantially
universal in Europe. Such, however, is the case, and there is
probable no one who has not at least some slight passing interest
in the story of this struggle. To the mathema tician and the
student of civilization the interest is generally a deep one; to
the teacher of the elements of knowlendge the interest may be less
marked. This story has often been told in part, but it is a long
time since any effort has been made to bring together the
fragmentary narrations and to set forth the general problem of the
origin and development of these numerals. In this little work the
author has attempted to state the history of these forms in small
compass, to place before the student materials for the
investigation of the problems involved, and to express as clearly
as possible the results of the labors of scholars who have studied
the subject in different parts of the World.
This title features: Introduction Frequency distribution and
measures of location, measures of dispersions, skewness &
kurtosis moments of frequency distributions; Theory of probability;
Discrete probability distributions; Special discrete probability
distributions; Univariate continuous probability distributions;
Special continuous probability distributions; Principle of least
squares, fittings of curves & orthangonal polynomeals;
Correlation and regression; Multiple and partial correlation;
Theory of sampling; Exact sampling distributions; Tests of
significance based on the T,F and Z distributions; Tests of
significance based on the chi- square distribution; Statistical
theory of point estimation; Testing of hypotheses, sequential
analysis distribution; Free methods, statistical decision theory;
Elements of stochastic processes orderstatistics; Appendices;
Index; and, log tables.
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