Fundamentals - Footprint Books · machine learning approaches used in predictive data analytics,...

Tom Forester

Pbk | 360pp | 9780262560733 | 1/10/1993A$74 | NZ$88 | MIT Press

“Forester and Morrison's new edition of -Computer Ethics - is, like the first edition, a rich and important resource for teaching about the ethical issues surrounding computers. In recounting incident after incident in which things go wrong using computers, the authors provide a compelling picture of a technology that needs a good deal of attention. Students will find this book particularly lively and accessible!” Deborah G. Johnson

Aust Author

COMPUTER SCIENCE

Computer Ethics: Cautionary Tales and Ethical Dilemmas in Computing 2ed

Hector Levesque

Pbk | 322pp | 9780262534741 | 11/08/2017A$58.99 | NZ$69 | MIT Press

This book guides students through an exploration of the idea that thinking might be understood as a form of computation. Students make the connection between thinking and computing by learning to write computer programs for a variety of tasks that require thought, including solving puzzles, understanding natural language, recognizing objects in visual scenes, planning courses of action, and playing strategic games. The material is presented with minimal technicalities and is accessible to undergraduate students with no specialized knowledge or technical background beyond high school mathematics.

Thinking as Computation: A First Course

Nick Russell, Wil M P van der Aalst and Ar

Hbk | 384pp | 9780262029827 | 12/02/2016A$79 | NZ$96 | MIT Press

The study of business processes has emerged as a highly effective approach to co-ordinating an organisation's complex service- and knowledge-based activities. The growing field of business process management (BPM) focuses on methods and tools for designing, enacting, and analysing business processes. This volume offers a definitive guide to the use of patterns, which synthesise the wide range of approaches to modelling business processes.

Aust Author

Workflow Patterns: The Definitive Guide

Stephanie Evergreen

Pbk | 320pp | 9781544350882 | 14/05/2019A$109 | NZ$129 | Sage Publications Inc

Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints—supported by research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Humorous and approachable, the book covers the spectrum of graph types, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel.

New Title

Effective Data Visualization: The Right Chart for the Right Data 2ed

Patricia Churchland and Terrence Sejnowski


Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behaviour of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time.

The Computational Brain (25th Anniversary Edition)

Robert J Glushko and Tim McGrath

Pbk | 728pp | 9780262572453 | 31/03/2008A$23.99 | NZ$29.99 | MIT Press

In this book the authors, both leaders in the development of document engineering and other e-commerce initiatives, analyse document exchanges from a variety of perspectives. Taking a qualitative view, they look at patterns of document exchanges as components of business models; looking at documents in more detail, they describe techniques for analysing individual transaction patterns and the role they play in the overall business process.

Document Engineering: Analyzing and Designing Documents for Business Informatics and Web Services

Ian Goodfellow, Yoshua Bengio and Aaron Co


Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

Ancillary Materials

Deep Learning

John D Kelleher and Brendan Tierney

Pbk | 280pp | 9780262535434 | 13/04/2018A$37.99 | NZ$44.99 | MIT Press

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.

Data Science

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Gareth Loy


“Mathematics can be as effortless as humming a tune, if you know the tune,” writes Gareth Loy. In Musimathics, Loy teaches us the tune, providing a friendly and spirited tour of the mathematics of music--a commonsense, self-contained introduction for the nonspecialist reader. It is designed for musicians who find their art increasingly mediated by technology, and for anyone who is interested in the intersection of art and science.

Ancillary Materials

Musimathics: The Mathematical Foundations of Music (Volume 1)

Katherine O'Keefe and Daragh O'Brien

Pbk | 344pp | 9780749482046 | 3/05/2018A$99 | NZ$118 | Kogan Page Ltd

Written by global experts in the field, Ethical Data and Information Management is an important text addressing a topic high on the information management agenda. Key coverage includes how to build ethical checks and balances into data governance decision making; using quality management methods to assess and evaluate the ethical nature of processing during design; change methods to communicate ethical values; how to avoid common problems that affect ethical action; and how to make the business case for ethical behaviours.

Ethical Data and Information Management: Concepts, Tools and Methods

John Stachurski


This text provides an introduction to the modern theory of economic dynamics, with emphasis on mathematical and computational techniques for modelling dynamic systems. Written to be both rigorous and engaging, the book shows how sound understanding of the underlying theory leads to effective algorithms for solving real world problems. The material makes extensive use of programming examples to illustrate ideas.

Ancillary Materials

Economic Dynamics: Theory and Computation

Yasmin Kafai and Quinn Burke


Over the last decade, video games designed to teach academic content have multiplied. Students can learn about Newtonian physics from a game or prep for entry into the army. An emphasis on the instructionist approach to gaming, however, has overshadowed the constructionist approach, in which students learn by designing their own games themselves. In this text, the authors discuss the educational benefits of constructionist gaming - coding, collaboration, and creativity - and the move from “computational thinking” toward “computational participation.”

GAMING

Connected Gaming: What Making Video Games Can Teach Us about Learning and Literacy

Katie Salen and Eric Zimmerman


As pop culture, games are as important as film or television - but game design has yet to develop a theoretical framework or critical vocabulary. This text presents a much-needed primer for this emerging field. It offers a unified model for looking at all kinds of games, from board games and sports to computer and video games and is the first comprehensive attempt to establish a solid theoretical framework for the emerging discipline of game design.

Rules of Play: Game Design Fundamentals

Barry Atkins and Tanya Krzywinska (Editor)

Pbk | 264pp | 9780719074011 | 1/11/2007A$46.99 | NZ$55.99 | Manchester University Press

Videogame, Player, Text examines both the playing and playful subject through a series of analytical essays focused on particular videogames and playing experiences. With essays from a range of internationally renowned game scholars, the major aim of this collection is to show how it is that videogames communicate their meanings and provide their pleasures.

Videogame, Player, Text

Katie Salen and Eric Zimmerman


The Game Design Reader is a one-of-a-kind collection on game design and criticism, from classic scholarly essays to cutting-edge case studies. Salen and Zimmerman have collected seminal writings that span 50 years to offer a stunning array of perspectives. Game journalists express the rhythms of game play, sociologists tackle topics such as role-playing in vast virtual worlds, players rant and rave, and game designers describe the sweat and tears of bringing a game to market.

The Game Design Reader: A Rules of Play Anthology

Kevin P Murphy


Today’s Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, a unified, probabilistic approach.

MACHINE LEARNING

Machine Learning: A Probabilistic Perspective

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Ethem Alpaydin


The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behaviour, optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.

Introduction to Machine Learning 3ed

John D Kelleher, Brian Mac Namee and Aoife


Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behaviour, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

Norie Neumark, Ross Gibson and Theo Van Le


Voice has returned to both theoretical and artistic agendas. In the digital era, techniques and technologies of voice have provoked insistent questioning of the distinction between the human voice and the voice of the machine, between genuine and synthetic affect, between the uniqueness of an individual voice and the social and cultural forces that shape it. Chapters cover such technologies as voice mail, podcasting, and digital approximations of the human voice.

Aust Author

NEW MEDIA

VOICE: Vocal Aesthetics in Digital Arts and Media

Charles Arthur

Pbk | 344pp | 9780749472030 | 3/05/2014A$34.99 | NZ$44.99 | Kogan Page Ltd

The first time that Apple, Google, and Microsoft found themselves sharing the same digital space was 1998. They were radically different companies and they would subsequently fight a series of pitched battles for control of different parts of the digital landscape. This new edition of Digital Wars looks at each of these battles in turn. Accessible and comprehensive, it analyses the very different cultures of the three companies and assesses exactly who are the victors on each front.

Digital Wars: Apple, Google, Microsoft and the Battle for the Internet 2ed

Christel Baier and Joost-Pieter Katoen


''Principles of Model Checking'' offers a comprehensive introduction to model checking. The book begins with the basic principles for modelling concurrent and communicating systems, introduces different classes of properties (including safety and liveness), presents the notion of fairness, and provides automata-based algorithms for these properties. It introduces the temporal logics LTL and CTL, compares them, and covers algorithms for verifying these logics, discussing real-time systems as well as systems subject to random phenomena. Separate chapters treat abstraction and symbolic manipulation.

Ancillary Materials

PROGRAMMING

Principles of Model Checking

Ningchuan Xiao

Pbk | 336pp | 9781446274330 | 9/01/2016A$112 | NZ$129 | Sage Publications Ltd

Geographic information systems (GIS) have become increasingly important in helping us understand complex social, economic, and natural dynamics where spatial components play a key role. The critical algorithms used in GIS, however, are notoriously difficult to both teach and understand, in part due to the lack of a coherent representation. GIS Algorithms attempts to address this problem by combining rigorous formal language with example case studies and student exercises.

Ebook Available

GIS Algorithms

Arvind Narayanan, Joseph Bonneau, Edward F

Hbk | 336pp | 9780691171692 | 12/07/2016A$97 | NZ$115 | Princeton University Press

Bitcoin and Cryptocurrency Technologies provides a comprehensive introduction to the revolutionary yet often misunderstood new technologies of digital currency. Whether you are a student, software developer, tech entrepreneur, or researcher in computer science, this authoritative and self-contained book tells you everything you need to know about the new global money for the Internet age.

Bitcoin and Cryptocurrency Technologies: A Comprehensive Introduction

Christopher D Manning and H Schutze


Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear, and contains all the theory and algorithms needed for building NLP tools. It provides broad coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

Aust Author

Ancillary Materials

Foundations of Statistical Natural Language Processing

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Daphne Koller and Nir Friedman


Most tasks require a person or an automated system to reason - to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible.

Ancillary Materials

Probabilistic Graphical Models: Principles and Techniques

Neil C Jones and Pavel A Pevzner


This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. It strikes a unique balance between rigorous mathematics and practical techniques, emphasising the ideas underlying algorithms rather than offering a collection of apparently unrelated problems.

Ancillary Materials

An Introduction to Bioinformatics Algorithms

Casey Reas and Ben Fry


This book introduces this new literacy by teaching computer programming within the context of the visual arts. It offers a comprehensive reference and text for Processing (www.processing.org), an open-source programming language that can be used by students who want to program images, animation, and interactivity.

Processing: A Programming Handbook for Visual Designers and Artists 2ed

John Guttag


This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data.

Introduction to Computation and Programming Using Python: With Application to Understanding Data 2ed

Leon Sterling and Kuldar Taveter

Hbk | 392pp | 9780262013116 | 31/08/2009A$43.99 | NZ$52.99 | MIT Press

The Art of Agent-Oriented Modeling presents a new conceptual model for developing software systems that are open, intelligent and adaptive. The book offers an integrated and coherent set of concepts and models, presenting the models at three levels of abstraction corresponding to a motivation layer (where the purpose, goals and requirements of the system are described), a design layer and an implementation layer.

Aust Author

The Art of Agent-Oriented Modeling

Daniel P Friedman and Mitchell Wand


This book provides students with a deep, working understanding of the essential concepts of programming languages. Most of these essentials relate to the semantics, or meaning, of program elements, and the text uses interpreters (short programs that directly analyse an abstract representation of the program text) to express the semantics of many essential language elements in a way that is both clear and executable. The approach is both analytical and hands-on. The book provides views of programming languages using widely varying levels of abstraction, maintaining a clear connection between the high-level and low-level views.

Ancillary Materials

Essentials of Programming Languages 3ed

John V Guttag


This text introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of “data science” for using computation to model and interpret data.

Introduction to Computation and Programming Using Python 2nd Revised and Expanded Edition

Matthias Felleisen, Robert Bruce Findler,


This introduction to programming places computer science in the core of a liberal arts education. Unlike other introductory books, it focuses on the program design process, presenting program design guidelines that show the reader how to analyze a problem statement, how to formulate concise goals, how to make up examples, how to develop an outline of the solution, how to finish the program, and how to test it. Because learning to design programs is about the study of principles and the acquisition of transferable skills, the text does not use an off-the-shelf industrial language but presents a tailor-made teaching language.

How to Design Programs: An Introduction to Programming and Computing 2ed










Harry Paarsch and Konstantin Golyaev


This text offers a practical guide to the computational methods at the heart of most modern quantitative research. No background in computer science is assumed; a learner need only have a computer with access to the Internet. Using the example as its principal pedagogical device, it offers tried-and-true prototypes that illustrate many important computational tasks required in quantitative research.

Aust Author

A Gentle Introduction to Effective Computing in Quantitative Research: What Every Research Assistant Should Know

Harold Abelson and Gerald Jay Sussman with


Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. here are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published.

Ancillary Materials

Structure and Interpretation of Computer Programs 2ed

David Abernathy

Pbk | 344pp | 9781473908185 | 5/11/2016A$78 | NZ$92 | Sage Publications Ltd

Big data is upon us. With the 'internet of things' now a reality, social scientists must get to grips with the complex network of location-based data in order to ask questions and address problems in an increasingly networked, globalizing world. This book provides an engaging and accessible introduction to the Geoweb with clear, step-by-step guides.Ebook Available

Ancillary Materials

Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World

Jesse Kinder and Philip Nelson

Pbk | 168pp | 9780691180571 | 1/01/2018A$47.99 | NZ$56.99 | Princeton University Press

Python is a computer programming language that is rapidly gaining popularity throughout the sciences. This fully updated edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed.

A Student's Guide to Python for Physical Modeling (Updated Edition)

John H. Miller and Scott E. Page

Pbk | 288pp | 9780691127026 | 25/03/2007A$69 | NZ$79 | Princeton University Press

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems.

Complex Adaptive Systems: An Introduction to Computational Models of Social Life

Jeremy Kepner and Hayden Jananthan


The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.

Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs

Avi Wigderson

Hbk | 488pp | 9780691189130 | 22/03/2019A$98 | NZ$115 | Princeton University Press

Mathematics and Computation provides a broad, conceptual overview of computational complexity theory'the mathematical study of efficient computation. With important practical applications to computer science and industry, computational complexity theory has evolved into a highly interdisciplinary field, with strong links to number theory, group theory, statistical physics, and combinatorial geometry.

New Title

Mathematics and Computation

Richard Boulanger and Victor Lazzarini


This comprehensive handbook of mathematical and programming techniques for audio signal processing will be an essential reference for all computer musicians, computer scientists, engineers, and anyone interested in audio. Fifteen chapters and eight appendixes cover such topics as programming basics for C and C++ (with music-oriented examples), audio programming basics and more advanced topics, spectral audio programming; programming Csound opcodes, and algorithmic synthesis and music programming. Appendixes cover topics in compiling, audio and MIDI, computing, and maths.

The Audio Programming Book

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Thomas H Cormen


Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your GPS, your laptop, or your smart phone? This book offers an engagingly written guide to the basics of computer algorithms.

Algorithms Unlocked

Benjamin H Bratton


What has planetary-scale computation done to our geopolitical realities? In The Stack, Benjamin Bratton proposes that smart grids, cloud computing, mobile software and smart cities, universal addressing systems, ubiquitous computing, and other types of apparently unrelated planetary-scale computation can be viewed as forming a coherent whole -- an accidental megastructure called The Stack that is both a computational apparatus and a new geopolitical architecture.

The Stack: On Software and Sovereignty

Roland Siegwart, Illah R Nourbakhsh and Da


Mobile robots range from the Mars Pathfinder mission’s teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning.

Ancillary Materials

ROBOTICS

Introduction to Autonomous Mobile Robots 2ed

Maja J Mataric


The Robotics Primer offers a broadly accessible introduction to robotics. It takes the reader from the most basic concepts (including perception and movement) to the most novel and sophisticated applications and topics (humanoids, shape-shifting robots, space robotics), with an emphasis on what it takes to create autonomous intelligent robot behaviour.Ancillary Materials

The Robotics Primer

Robin Murphy


This text covers all the material needed to understand the principles behind the AI approach to robotics and to program an artificially intelligent robot for applications involving sensing, navigation, planning, and uncertainty. Robin Murphy is extremely effective at combining theoretical and practical rigor with a light narrative touch. In the overview, for example, she touches upon anthropomorphic robots from classic films and science fiction stories before delving into the nuts and bolts of organizing intelligence in robots.

Ancillary Materials

Introduction to AI Robotics

Sebastian Thrun, Wolfram Burgard and Diete


Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation.

Ancillary Materials

Probabilistic Robotics

Ned Kock

Pbk | 336pp | 9781412905855 | 1/07/2006A$157 | NZ$183 | Sage Publications Inc

Systems Analysis & Design Fundamentals: A Business Process Redesign Approach uniquely integrates traditional and modern systems analysis with design methods and techniques. By using a business process redesign approach, author Ned Kock enables readers to understand, in a very applied and practical way, how information technologies can be used to significantly improve organizational quality and productivity.

Ebook Available

SYSTEMS MANAGEMENT

Ancillary Materials

Systems Analysis and Design Fundamentals: A Business Process Redesign Approach

Noam Nisan and Shimon Schocken


The best way to understand how computers work is to build one from scratch, and this textbook leads students through twelve chapters and projects that gradually build a basic hardware platform and a modern software hierarchy from the ground up. In the process, the students gain hands-on knowledge of hardware architecture, operating systems, programming languages, compilers, data structures, algorithms, and software engineering.

The Elements of Computing Systems: Building a Modern Computer from First Principles










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