Computer Technology and Computer Programming

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

This book answers one of the most critical questions of our time, does the vast connectivity afforded by mobile and social media lead to more personal connection with one another? It offers an evidence-based account of the role of technology in close relationships that confronts such pressing questions as where face-to-face communication belongs in this digital age, whether social media is harmful to our well-being, and how online communication spills-over into our offline communication and relationships. Each chapter explores the positive and negative influences of media on relationships, coalescing into a balanced assessment of how technological advancement has altered our connections with each other. By zeroing in on communication with the most important people in our lives and tracing the changes in computer-mediated communication over time, Relating Through Technology focuses the conversation about media on its use in our everyday lives and relationships.

CBC and NSTA's Best STEM Books Pick for 2022Explore artificial intelligence—the programming that teaches computers to be brainy—in this “enjoyable, upbeat series” (Booklist).Did you know that you can teach a robot to play soccer? Or that you can ride in a car driven by a computer? Discover how AI learns and grows, as well as how it identifies objects by recognizing differences and similarities!Ignite your scientific mind with fun facts, activities, and experiments. Try this: Hum “Twinkle, Twinkle Little Star,” “Baa, Baa, Black Sheep,” and the ABCs. Do you notice any similarities? Soon you’ll be thinking just like an AI program!This STEM-driven series helps beginning scientists and engineers grasp big scientific ideas with:Intriguing info to fill and thrill your brain.Hands-on activities to jumpstart your imagination.Great photos to help you get the bigger picture.New ideas sure to change the way you see the world.From Starry Forest Books,STEAM & Me™uses science, technology, enginee

Explore the rise of technology that may soon rule our lives!What is a computer, how does it work, what are they being used for and what role may they play in the future? Impactful photos fill the page

Put on your thinking cap and get inventive! Make a musical instrument from glass bottles, use a drop of water to create a microscope, develop your own computer programming language, and more! Filled w

Finite-state methods are the most efficient mechanisms for analysing textual and symbolic data, providing elegant solutions for an immense number of practical problems in computational linguistics and computer science. This book for graduate students and researchers gives a complete coverage of the field, starting from a conceptual introduction and building to advanced topics and applications. The central finite-state technologies are introduced with mathematical rigour, ranging from simple finite-state automata to transducers and bimachines as 'input-output' devices. Special attention is given to the rich possibilities of simplifying, transforming and combining finite-state devices. All algorithms presented are accompanied by full correctness proofs and executable source code in a new programming language, C(M), which focuses on transparency of steps and simplicity of code. Thus, by enabling readers to obtain a deep formal understanding of the subject and to put finite-state methods t

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intellige

Programming concepts come to life in this kid-friendly intro to the basics of computer science and coding, with puzzles, games, and quirky characters.Welcome to the Coder Crew, where you're on a missi

Build your own computer games with Scratch 3!Learn how to make fun games with Scratch—a free, beginner-friendly programming language from the MIT Media Lab. Create mazes, road-crossing games, and two-

Python is today's fastest growing programming language. This engaging and refreshingly different guide breaks down the skills into clear step-by-step chunks and explains the theory using brief easy-to-understand language. Rather than bamboozling readers with pages of mind-numbing technical jargon, this book includes 150 practical challenges, putting the power in the reader's hands. Through creating programs to solve these challenges the reader will quickly progress from mastering the basics to confidently using subroutines, a graphical user interface, and linking to external text, csv and SQL files. This book is perfect for anyone who wants to learn how to program with Python. In particular, students starting out in computer science and teachers who want to improve their confidence in Python will find here a set of ready-made challenges for classroom use.

Organizations and businesses strive toward excellence, and solutions to problems are based mostly on judgment and experience. However, increased competition and consumer demands require that the solutions be optimum and not just feasible. Theory leads to algorithms. Algorithms need to be translated into computer codes. Engineering problems need to be modeled. Optimum solutions are obtained using theory and computers, and then interpreted. Revised and expanded in its third edition, this textbook integrates theory, modeling, development of numerical methods, and problem solving, thus preparing students to apply optimization to real-world problems. This text covers a broad variety of optimization problems using: unconstrained, constrained, gradient, and non-gradient techniques; duality concepts; multi-objective optimization; linear, integer, geometric, and dynamic programming with applications; and finite element-based optimization. It is ideal for advanced undergraduate or graduate cours

Learn to think like a coder without a computer! Each of the fun craft activities included in this book will teach you about a key concept of computer programming and can be done completely offline. Th

Learn to think like a coder without a computer! Each of the fun craft activities included in this book will teach you about a key concept of computer programming and can be done completely offline. Th

Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface (BCI) systems. It records the electrical activity of the brain,

Embedded Systems: A Contemporary Design Tool, Second EditionEmbedded systems are one of the foundational elements of today’s evolving and growing computer technology. From operating our cars, ma

Each book goes inside a different machine or technology and explains the key computer code and systems that are controlling them. Step-by-step activities teach you how to create your own versions of t

Written in an easy-to-understand manner, this comprehensive textbook brings together both basic and advanced concepts of numerical methods in a single volume. Important topics including error analysis, nonlinear equations, systems of linear equations, interpolation and interpolation for Equal intervals and bivariate interpolation are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of mathematics, computer science, mechanical engineering, civil engineering and information technology for a course on numerical methods/numerical analysis. The text simplifies the understanding of the concepts through exercises and practical examples. Pedagogical features including solved examples and unsolved exercises are interspersed throughout the book for better understanding.

Written in lucid language, this valuable textbook brings together fundamental concepts of data mining and data warehousing in a single volume. Important topics including information theory, decision tree, Naïve Bayes classifier, distance metrics, partitioning clustering, associate mining, data marts and operational data store are discussed comprehensively. The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples. Chapters such as classification, associate mining and cluster analysis are discussed in detail with their practical implementation using Weka and R language data mining tools. Advanced topics including big data analytics, relational data models and NoSQL are discussed in detail. Pedagogical features including unsolved problems and multiple-choice questions are

Even though many pre-service and in-service teacher programs now address information and computer technology, computer- assisted language learning (CALL) teacher education is still reported as inadequ

A step-by-step visual guide to creating your own projects using Scratch 3.0.Techy kids will get familiar with Scratch 3.0 using this beginner's guide to coding. Difficult coding concepts become easy and fun to understand as budding programmers build their own projects using Scratch 3.0, the latest software from the world's most popular programming language for beginners.Make a Dino Dance Party or create your own electronic birthday cards. Build games, simulations, and mind-bending graphics as you discover the awesome things computer programmers can do with Scratch 3.0.Coding Projects in Scratch, 2nd Edition uses a visual step-by-step approach to split complicated code into manageable, easy-to-digest chunks, so that the most impressive projects become possible.Suitable for complete beginners, this book will give young readers a solid understanding of programming, preparingthem to create their very own projects from scratch, and even move on to more complex programming languages like Pyt

Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the bra

The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and fro

The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and fro

Whether you are a computer programming student, hobbyist or professional, Lambert's FUNDAMENTALS OF PYTHON™: DATA STRUCTURES, 2E offers the perfect introduction to object-oriented design and data stru

From graphic novel superstar (and former computer programming teacher) and New York Times bestselling author Gene Luen Yang, Secret Coders: Potions & Parameters is the sixth and final volume in a

Presents a brief history of computer programming, discussing what coding is and highlighting notable people and events.

Blockchain Technology: Platforms, Tools and Use Cases, Volume 111, the latest release in the Advances in Computers series published since 1960, presents detailed coverage of innovations in computer ha

Science as you've never seen it before.Illustrated with the latest CGI technology, this children's encyclopedia brings a groundbreaking new visual approach to the world of science. Crystal-clear computer-generated artworks pack the pages to reveal and explain spectacular aspects of the scientific world. Bursting with astonishing 3-D images, Science! reveals core science in stunning detail, from nanoparticles and elemental forces to the phenomenal wonders of the universe.Created in association with the Smithsonian Institution, this book is packed with essential information and quirky facts that will appeal to both curious kids and interested adults. Easy-to-read, informative text encourages reading, and families will find fun, new science facts on every page.Adopting an inventive approach to science that goes beyond the basic school curriculum, Science! interweaves core physics, chemistry, and biology topics with space exploration, life on Earth, and amazing views inside the human body.

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

This book explores the fundamentals of computer music and functional programming through the Haskell programming language. Functional programming is typically considered difficult to learn. This introduction in the context of creating music will allow students and professionals with a musical inclination to leverage their experience to help understand concepts that might be intimidating in more traditional computer science settings. Conversely, the book opens the door for programmers to interact with music by using a medium that is familiar to them. Readers will learn how to use the Euterpea library for Haskell (http://www.euterpea.com) to represent and create their own music with code, without the need for other music software. The book explores common paradigms used in algorithmic music composition, such as stochastic generation, musical grammars, self-similarity, and real-time interactive systems. Other topics covered include the basics of signal-based systems in Haskell, sound synt