Lec 1 | Computer Science – Foundations ( Part 1 )
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Concrete Mathematics: A Foundation for Computer Science (2nd Edition) $49.99 This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills – the skills needed to solve complex problems, to evaluate horrendous sums, and to discover subtle patterns in data. It is an indispensable text and reference not only for computer s… |
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Foundations of Computer Science $25.00 Based on the ACM model curriculum guidelines, this easy-to-read and easy-to-navigate text covers all the fundamentals of computer science required for first year students embarking on a computing degree. Divided into five parts – computer and data, computer hardware, computer software, data organization and with an introduction to some of the more advanced topics – Foundations of Computer Science … |
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Foundations of Computer Science: C Edition (Principles of Computer Science Series) $2,475.00 Aho and Ullman have created a C version of their groundbreaking text. As in that text, this book combines the theoretical foundations of computing with essential discrete mathematics. It follows the same organizations as its predecessor, with all examples and exercises in C…. |
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Monster/ISF HDTV Calibration Wizard DVD $13.87 The Easy, Affordable Way to Adjust Your HDTV for Perfect Color and Clarity It’s a fact-TVs are setup “hot” by the manufacturer for display in brightly lit showrooms? That means their settings out-of-the-box often aren`t ideal for home viewing. Blacks can look washed out, whites too bright, details even fuzzy. The fast, easy fix without retaining a professional ISF calibrator with $10,000 worth of … |
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Foundations of Computer Science, 2nd Edition $120.49 Based on the ACM model curriculum guidelines, this easy-to-read and easy-to-navigate text covers all the fundamentals of computer science required for first year students embarking on a computing degree. Divided into five parts – computer and data, computer hardware, computer software, data organization and with an introduction to some of the more advanced topics – Foundations of Computer Science gives students a bird’s eye view of the subject. Each chapter includes key terms, summaries, review questions, multiple-choice questions, and exercises to enhance learning, while introducing tools such as UML, structure chart and pseudocode, which students will need in order to succeed in later courses. The text is also supported by numerous figures, examples, exercises, selected solutions and a test bank, all designed to ease and aid the learning process. Updated to cover the latest technologies and changes to course requirements, this second edition features new and updated coverage of: Artificial Intelligence, Computer Ethics and Crimes, Networking, LINUX, and Security. |
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Foundations of Computer Science $93.05 This book is in New – Excellent condition |
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Theoretical Foundations of Computer Science $78.44 This book is in Used condition |
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Foundations of Computer Science, by Carberry $1.95 This book is in Used condition |
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Logical Foundations of Computer Science $85.45 This book is in New – Excellent condition |
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Foundations Of Computer Science $43 No Synopsis Available |
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FOUNDATIONS OF COMPUTER SCIENCE $27 No Synopsis Available |
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A First Course in Machine Learning $72.2 Offering a complete introduction to the fundamental concepts underlying machine learning theory, this text presents modern methods and mathematical foundations needed to enable further study. The text requires minimal mathematical prerequisites, making it appropriate for students who are new to the field. Emphasizing a practical approach to the material, each chapter includes worked examples. Case studies illustrate interesting applications from engineering, computer science, and the life sciences. A supporting website provides MATLAB implementations of all methods described in the text as well as lecture slides and a solutions manual for qualifying instructors. |
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A First Course in Stochastic Models $80 The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications. Incorporates recent developments in computational probability. Includes a wide range of examples that illustrate the models and make the methods of solution clear. Features an abundance of motivating exercises that help the student learn how to apply the theory. Accessible to anyone with a basic knowledge of probability. A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations research, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications. |
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A First Course in Stochastic Models $38.76 The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and applications of stochastic models. Emphasis is placed on establishing the theoretical foundations of the subject, thereby providing a framework in which the applications can be understood. Without this solid basis in theory no applications can be solved. Provides an introduction to the use of stochastic models through an integrated presentation of theory, algorithms and applications. Incorporates recent developments in computational probability. Includes a wide range of examples that illustrate the models and make the methods of solution clear. Features an abundance of motivating exercises that help the student learn how to apply the theory. Accessible to anyone with a basic knowledge of probability. A First Course in Stochastic Models is suitable for senior undergraduate and graduate students from computer science, engineering, statistics, operations resear ch, and any other discipline where stochastic modelling takes place. It stands out amongst other textbooks on the subject because of its integrated presentation of theory, algorithms and applications. |
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A Practical Introduction to Denotational Semantics $35.99 This textbook is an introduction to denotational semantics and its applications to programming languages. Dr Allison emphasizes a practical approach and the student is encouraged to write and test denotational definitions. The first section is devoted to the mathematical foundations of the subject and sufficient detail is given to illustrate the fundamental problems. The remainder of the book covers the use of denotational semantics to describe sequential programming languages such as Algol, Pascal and C. Throughout, numerous exercises, usually in Pascal, will help the student practise writing definitions and carry out simple applications. The book culminates in discussing an executable semantics of the logic-programming language Prolog. Being an introduction, advanced undergraduates in computer science and graduates new to the subject will find this a readily accessible account of one of the central topics of computer science. |
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Advanced Methods for Knowledge Discovery from Complex Data $110.9 This book brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery.An overview of the field, looking at the issues and challenges involved is followed by coverage of recent trends in data mining. This provides the context for the subsequent chapters on methods and applications. Part I is devoted to the foundations of mining different types of complex data like trees, graphs, links and sequences. A knowledge discovery approach based on problem decomposition is also described. Part II presents important applications of advanced mining techniques to data in unconventional and complex domains, such as life sciences, world-wide web, image databases, cyber security and sensor networks.With a good balance of introductory material on the knowledge discovery process, advanced issues and state-of-the-art tools and techniques, this book will be useful to students at Masters and PhD level in Computer Science, as well as practitioners in the field. |
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