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Computer science

Welcome to Cambridge University Press Computer Science.

Cambridge's respected computer science list seeks to combine an innovative and cutting edge approach with the highest standards of scholarship, writing and production across the whole range of the discipline. This encompasses everything from academic monographs to student textbooks and professional handbooks. We aim to reflect the latest developments in research, and also to provide materials for graduate and undergraduate students.

     

    Experimental Human-Computer Interaction

    Experimental Human-Computer Interaction

    A Practical Guide with Visual Examples
    • Helen C. Purchase

    This practical book takes the human-computer interaction researcher through the complete experimental process, from identifying a research question to designing and conducting an experiment, and then to analyzing and reporting the results. It describes general concepts of experimental design and analysis while referring to numerous worked examples that address the very real practicalities and problems of conducting an experiment.

    • $39.99 (Z)

     

    Relational Knowledge Discovery

    Relational Knowledge Discovery

    • M. E. Müller

    Introductory textbook presenting relational methods in machine learning.

    • $47.00 (Z)

     

    Computer Vision

    Computer Vision

    Models, Learning, and Inference
    • Simon J. D. Prince

    With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision.

    • $90.00 (X)

     

    Modern Fortran in Practice

    Modern Fortran in Practice

    • Arjen Markus

    This tutorial guide shows programmers how to apply features of Fortran 2008 in twenty-first-century style: modular, concise, object-oriented, and resource-efficient, using multiple processors. It offers practical real-world examples of interfacing, memory management, graphics and GUIs, and parallel computing using MPI, OpenMP, and coarrays. The author also analyzes several numerical algorithms and illustrates the use of several open source libraries.

    • $44.99 (Z)

     

    Programming with Higher-Order Logic

    Programming with Higher-Order Logic

    • Dale Miller, Gopalan Nadathur

    Formal systems in computer science frequently involve specifications of computations over syntactic structures. In this book, the authors develop a programming language based on a simply typed version of higher-order logic and show that it provides an elegant approach to performing computations over structures embodying binding.

    • $65.00 (Z)

     

    Adaptive Technologies for Training and Education

    Adaptive Technologies for Training and Education

    • Paula J. Durlach, Alan M. Lesgold

    The purpose of this volume is to provide an overview of the latest advancements in computer-based training. In particular, it explores how the data a training system captures about the student can be used to alter the way training is presented on an individual basis. The purpose of this adaptation is to meet the needs of each unique learner and to support more efficient learning. Although there are other books on training technology, this one is unique in its concern for adult learners and learning outside of traditional educational settings.

    • $99.00 (C)

     

    Concentration of Measure for the Analysis of Randomized Algorithms

    Concentration of Measure for the Analysis of Randomized Algorithms

    • Devdatt P. Dubhash, Alessandro Panconesi

    Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of such algorithms. The presentation emphasizes discrete settings and elementary notions of probability, making it accessible to computer scientists and applied discrete mathematicians. The relative strengths and weaknesses of the methods are demonstrated by applying them to concrete problems.

    • $34.99 (Z)

    Highlights

    Density Ratio Estimation in Machine Learning

    Density Ratio Estimation in Machine Learning

    • Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori
    • $95.00 (Z)
    Mining of Massive Datasets

    Mining of Massive Datasets

    • Anand Rajaraman, Jeffrey David Ullman
    • $65.00 (Z)
    Theory of Conditional Games

    Theory of Conditional Games

    • Wynn C. Stirling
    • $95.00 (C)
    A Guide to Experimental Algorithmics

    A Guide to Experimental Algorithmics

    • Catherine C. McGeoch
    • $39.99 (Z)
    Introduction to Bisimulation and Coinduction

    Introduction to Bisimulation and Coinduction

    • Davide Sangiorgi
    • $80.00 (Z)
    Advanced Topics in Bisimulation and Coinduction

    Advanced Topics in Bisimulation and Coinduction

    • Davide Sangiorgi, Jan Rutten
    • $99.00 (Z)
    Web Data Management

    Web Data Management

    • Serge Abiteboul, Ioana Manolescu, Philippe Rigaux, Marie-Christine Rousset, Pierre Senellart
    • $75.00 (Z)
    Modern Fortran

    Modern Fortran

    Style and Usage
    • Norman S. Clerman, Walter Spector
    • $45.00 (Z)
    Security and Game Theory

    Security and Game Theory

    Algorithms, Deployed Systems, Lessons Learned
    • Milind Tambe
    • $70.00 (Z)

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