Computer Science Programming Basics in Ruby

If you know basic high-school math, you can quickly learn and apply the core concepts of computer science with this concise, hands-on book. Led by a team of experts, you’ll quickly understand the diff

This text is intended for use in the second programming courseProgramming is a matter of learning by doing. Eric Roberts’Programming Abstractions in C++ gives students opportunities to practic

This new edition of a well-established handbook describes complicated concepts such as trusted systems, encryption, and mandatory access control in simple terms. It tells users what they need to know

In a world permeated by technology, we sometimes struggle to keep pace with an ever-changing landscape. With historical and full-color photographs complementing documentary texts, Odysseys in Technolo

This volume contains the proceedings of the 2017 International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'17).

Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms,

Frontiers in Education - Computer Science and Computer Engineering is a compendium of articles and papers that were presented at FECS '16, an international conference that serves researchers, scholars

C++ Made Easy – a Step by Step GuideLearning a programming language can seem like a daunting task. You may have looked at coding in the past, and felt it was too complicated and confusing. This compre

This textbook provides in-depth coverage of the fundamentals of the C and C++ programming languages and the object-oriented programming paradigm. It follows an example-driven approach to facilitate understanding of theoretical concepts. Essential concepts, including functions, arrays, pointers and inheritance, are explained, while complex topics, such as dynamic memory allocation, object slicing, vtables, and upcasting and downcasting, are examined in detail. Concepts are explained with the help of line diagrams, student-teacher conversations and flow charts, while other useful features, such as quiz questions and points to remember, are included. Solved examples, review questions and useful case studies are interspersed throughout the text, and explanations of the logic used to implement particular functionality is also provided. This book will be useful for undergraduate students of computer science and engineering, and information technology.

This new resource is written to follow the updated IGSCE Computer Science syllabus 0478 with examination in June and November 2016.

This monograph has two main objectives. The first one is to give a self-contained exposition of the relevant facts about set operads, in the context of combinatorial species and its operations. This a

If you want to learn how to program in Python, but don't know where to start read on. Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. Ther

Help your child get a head start on their future with DK Workbooks: Computer Coding, an innovative workbook that teaches children the basics of computer coding. Coding is a fun and creative way for ch

Ruby Wizardry is a playful, illustrated tale that teaches kids how to program in Ruby by taking them on an enchanted adventure. The storybook combines whimsical narrative and fun illustrations with re

This book is for anyone who wants to understand computer programming. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. You'll code along with the book

There has been an enormous increase in research activity aimed at elucidating the basis for cortical activity in the brain. Among modern techniques used in this area of scientific endeavour, few have proved as popular as computer simulation. Model neural networks are the subject of intense study, and some remarkable properties have already come to light: these networks are able to discriminate, remember and associate. Professor Cotterill has assembled leading experts in this burgeoning field to produce an exciting review of advances. The volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics and artificial intelligence.

Linear logic is a branch of proof theory which provides refined tools for the study of the computational aspects of proofs. These tools include a duality-based categorical semantics, an intrinsic graphical representation of proofs, the introduction of well-behaved non-commutative logical connectives, and the concepts of polarity and focalisation. These various aspects are illustrated here through introductory tutorials as well as more specialised contributions, with a particular emphasis on applications to computer science: denotational semantics, lambda-calculus, logic programming and concurrency theory. The volume is rounded-off by two invited contributions on new topics rooted in recent developments of linear logic. The book derives from a summer school that was the climax of the EU Training and Mobility of Researchers project 'Linear Logic in Computer Science'. It is an excellent introduction to some of the most active research topics in the area.