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Computational Thinking: First Algorithms, Then Code

This book offers a gentle motivation and introduction to computational thinking, in particular to algorithms and how they can be coded to;

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Computational Intelligence

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable;

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Matrix Algorithms in MATLAB

emerging. Presents the first book available on matrix algorithms implemented in real computer codeProvides algorithms;

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Scratch Music Projects

music. This book introduces readers to concepts in computational thinking and coding alongside parallel concepts in music, creative sound;

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Statistical Computing in C++ and R

, followed by a boot-camp on the use of C++ and R. The authors then discuss code development for the solution of specific computational problems;

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Statistical Computing in C++ and R

a boot-camp on the use of C++ and R. The authors then discuss code development for the solution of specific computational problems that are;

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Learn Computer Science with Swift

, tvOS, and watchOS. Begin by understanding how to think computationally: to formulate a computational problem and recognize patterns and ways;

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Computational Geometry in C

in areas such as computer graphics, robotics, and engineering design. The basic techniques used in computational geometry are all covered: polygon;

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Code-IT Workbook 1 First Steps Program

, Music Machine, Conversation, Interactive Display and Dressing up Game!. Use analytical computational thinking skills of algorithm design;

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Computational Thinking for the Modern Problem Solver

Through examples and analogies, Computational Thinking for the Modern Problem Solver introduces computational thinking as part of an;

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Learning Algorithms

coding. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively. Each chapter;

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Computational Actuarial Science with R

is divided into four parts. The first one addresses methodology and statistical modeling issues. The second part discusses the computational facets;

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Computational Actuarial Science with R

is divided into four parts. The first one addresses methodology and statistical modeling issues. The second part discusses the computational facets;

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Grokking Algorithms

skills in thinking algorithmically. Then it tackles more complex concerns such as data compression or artificial intelligence. Whether writing;

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Map Construction Algorithms

working in computational geometry, spatial databases, and GIS. Advanced-level students studying computer science, geography and mathematics will;

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Stochastic Linear Programming Algorithms

problems, this is the first book to present comparative computational results with several major stochastic programming solution approaches;

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Beginning Algorithms

instructive examples, the book begins by offering you some fundamental data structures and then goes on to explain various sorting algorithms. You'll;

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Cambridge IGCSE and O Level Computer Science Algorithms, Programming and Logic Workbook

algorithmic and computational thinking and programming skills with further practise questions and activities. This Workbook provides;

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Computational Frameworks for Political and Social Research with Python

, dictionaries, trees, graphs), algorithms (e.g. sorting), and analysis of computational efficiency. It then demonstrates how to apply these concepts to;

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Computational Frameworks for Political and Social Research with Python

, dictionaries, trees, graphs), algorithms (e.g. sorting), and analysis of computational efficiency. It then demonstrates how to apply these concepts to;

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Fostering Computational Thinking Among Underrepresented Students in STEM

This book broadly educates preservice teachers and scholars about current research on computational thinking (CT). More specifically;

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Fostering Computational Thinking Among Underrepresented Students in STEM

This book broadly educates preservice teachers and scholars about current research on computational thinking (CT). More specifically;

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Handbook of Computational Group Theory

The origins of computation group theory (CGT) date back to the late 19th and early 20th centuries. Since then, the field has flourished;

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Handbook of Computational Group Theory

The origins of computation group theory (CGT) date back to the late 19th and early 20th centuries. Since then, the field has flourished;

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Applied Computational Thinking with Python

Use the computational thinking philosophy to solve complex problems by designing appropriate algorithms to produce optimal results across;

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Practical Handbook of Genetic Algorithms

overcomes or addresses Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems complements the first two volumes in the series;

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WALCOM: Algorithms and Computation

of algorithms and computation, such as approximation algorithms, computational geometry, combinatorial algorithms, computational biology, computational;

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