Social Science Research PDF Download

Author: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category : Science
Languages : en
Pages : 156

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Book Description
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 64

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Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Author: Douglas Preston
Publisher: Forge Books
ISBN: 1429914467
Category : Fiction
Languages : en
Pages : 426

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Book Description
A stunning archaeological thriller from Douglas Preston, the New York Times bestselling co-author of Brimstone and Relic. A moon rock missing for thirty years... Five buckets of blood-soaked sand found in a New Mexico canyon... A scientist with ambition enough to kill... A monk who will redeem the world... A dark agency with a deadly mission... The greatest scientific discovery of all time... What fire bolt from the galactic dark shattered the Earth eons ago, and now hides in that remote cleft in the southwest U.S. known as Tyrannosaur Canyon? A fascinating novel from acclaimed bestselling author, hailed by Publishers Weekly as "better than Crichton." At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.

Author: John McCarthy
Publisher: Intellect L & D E F A E
ISBN: 9781871516494
Category : Technology & Engineering
Languages : en
Pages : 256

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Book Description
Extending over a period of 30 years, this is a collection of papers written by John McCarthy on artificial intelligence. They range from informal surveys written for a general audience to technical discussions of challenging research problems that should be of interest to specialists.

Author: Ralph Bravaco
Publisher:
ISBN: 9780070181397
Category : Java (Computer program language)
Languages : en
Pages : 928

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Book Description
Java Programming, From The Ground Up, with its flexible organization, teaches Java in a way that is refreshing, fun, interesting and still has all the appropriate programming pieces for students to learn. The motivation behind this writing is to bring a logical, readable, entertaining approach to keep your students involved. Each chapter has a Bigger Picture section at the end of the chapter to provide a variety of interesting related topics in computer science. The writing style is conversational and not overly technical so it addresses programming concepts appropriately. Because of the flexibile organization of the text, it can be used for a one or two semester introductory Java programming class, as well as using Java as a second language. The text contains a large variety of carefully designed exercises that are more effective than the competition.

Author: Hans Petter Langtangen
Publisher: Springer
ISBN: 3662498871
Category : Computers
Languages : en
Pages : 942

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Book Description
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 64

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Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Author: Summer Bridge Activities
Publisher: Rainbow Bridge Publishing
ISBN: 1609961900
Category : Juvenile Nonfiction
Languages : en
Pages : 172

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Book Description
Designed specifically for preparing Canadian fifth-grade students for the new year ahead. Reviewed by Canadian teachers and students, this workbook features daily activities in reading, writing, math, and language arts plus a bonus section focusing on character development and healthy lifestyles. The exercises are easy to understand and are presented in a way that allows your child to review familiar skills and then be progressively challenged on more difficult subjects. Give your children the head start they deserve with this fun, easy-to-use, award-winning series, and make learning a yearlong adventure! 160 full-colour perforated pages and an answer key.

Author: Bruno Latour
Publisher: Princeton University Press
ISBN: 1400820413
Category : Social Science
Languages : en
Pages : 295

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Book Description
This highly original work presents laboratory science in a deliberately skeptical way: as an anthropological approach to the culture of the scientist. Drawing on recent work in literary criticism, the authors study how the social world of the laboratory produces papers and other "texts,"' and how the scientific vision of reality becomes that set of statements considered, for the time being, too expensive to change. The book is based on field work done by Bruno Latour in Roger Guillemin's laboratory at the Salk Institute and provides an important link between the sociology of modern sciences and laboratory studies in the history of science.

Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433

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Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.