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Computer Ethics

Computer A History of the Information Machine

Philosophy through Computer Science An Introduction

Philosophy through Computer Science An Introduction

What do philosophy and computer science have in common? It turns out quite a lot! In providing an introduction to computer science (using Python) Daniel Lim presents in this book key philosophical issues ranging from external world skepticism to the existence of God to the problem of induction. These issues and others are introduced through the use of critical computational concepts ranging from image manipulation to recursive programming to elementary machine learning techniques. In illuminating some of the overlapping conceptual spaces of computer science and philosophy Lim teaches readers fundamental programming skills and allows them to develop the critical thinking skills essential for examining some of the enduring questions of philosophy. Key Features Teaches readers actual computer programming not merely ideas about computers Includes fun programming projects (like digital image manipulation and Game of Life simulation) allowing the reader to develop the ability to write larger computer programs that require decomposition abstraction and algorithmic thinking Uses computational concepts to introduce clarify and develop a variety of philosophical issues Covers various aspects of machine learning and relates them to philosophical issues involving science and induction as well as to ethical issues Provides a framework to critically analyze arguments in classic and contemporary philosophical debates | Philosophy through Computer Science An Introduction

GBP 32.99
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Aircraft Digital Electronic and Computer Systems

Choosing and Keeping Computer Staff Recruitment Selection and Development of Computer Personnel

Computer Aided Policy Making

Integrating Computer Science Across the Core Strategies for K-12 Districts

Electoral Survey Methodology Insight from Japan on using computer assisted personal interviews

Computer-Assisted Literary Translation

Individual differences in Computer Assisted Language Learning Research

Novice Programming Environments Explorations in Human-Computer Interaction and Artificial Intelligence

Novice Programming Environments Explorations in Human-Computer Interaction and Artificial Intelligence

This book originally published in 1992 encapsulates ten years of research at the Open University’s Human Cognition Research Laboratory. The research investigates the problems of novice programmers and is strongly oriented toward the design and implementation of programming environments aimed at eliminating or easing novices’ problems. A range of languages is studied: Pascal SOLO Lisp Prolog and Knowledge Engineering Programming. The primary emphasis of the empirical studies is to gain some understanding of novices’ mental models of the inner workings of computers. Such (erroneous) models are constructed by novices in their own heads to account for the idiosyncrasies of particular programming languages. The primary emphasis of the implementations described in the book is the provision of automatic debugging aids i. e. artificial intelligence programs which can analyse novices’ buggy programs and make sense of them thereby providing useful advice for the novices. Another related strand taken in some of the work is the concept of pre-emptive design i. e. the provision of tools such as syntax-directed editors and graphical tracers which help programmers avoid many frequently-occurring errors. A common thread throughout the book is its Cognitive Science/Artificial Intelligence orientation. AI tools are used for instance to construct simulation models of subjects writing programs in order to provide insights into what their deep conceptual errors are. At the other extreme AI programs which were developed in order to help student debug their programs are observed empirically in order to ensure that they provide facilities actually needed by real programmers. This book will be of great interest to advanced undergraduate postgraduate and professional researchers in Cognitive Science Artificial Intelligence and Human-Computer Interaction. | Novice Programming Environments Explorations in Human-Computer Interaction and Artificial Intelligence

GBP 31.99
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Friendship and Technology A Philosophical Approach to Computer Mediated Communication

How to Teach Poetry Writing: Workshops for Ages 8-13 Developing Creative Literacy

Design for Fragility 13 Stories of Humanitarian Architects

Design for Fragility 13 Stories of Humanitarian Architects

The demand is now urgent for architects to respond to the design and planning challenges of rebuilding cities and landscapes being destroyed by civil conflict (un)natural disasters political instability and poverty. The number of people fleeing their homes and being displaced by such conflict now totals almost 100 million. Despite the massive human and physical costs of these crises the number of architects planners and landscape architects equipped to work with disaster and development professionals in rebuilding in the aftermath of conflict floods fires earthquakes typhoons and tsunamis remains chronically low. Design for Fragility expands the nascent but rapidly growing field of humanitarian architecture by exploring 13 design responses to such conflict and displacement across 11 countries including Australia Bangladesh Fiji India Iran Pakistan and the USA. Linked to this displacement is the systemic poverty that often lingers from previous colonial territories and eras in which many of the featured projects in the book are located. This book follows Charlesworth’s Humanitarian Architecture: 15 Stories of Architects Working After Disasters (Routledge 2014) which analysed the role for architects in exercising ‘spatial agency’ while designing shelter and settlement projects for communities after conflict and disaster. Since that time the humanitarian architecture movement has expanded globally with the prominence of design agencies including the MASS Design Group and Architecture Sans Frontières (ASF) International. Design for Fragility analyses this role of spatial agency in architecture by addressing diverse conditions of fragility across 13 built projects – from refugee housing in Uganda and an orphanage for teenage girls in Iran to a residential centre in Northern Australia for people with acquired brain injury. Each of the projects profiled in this book explore: The experiences and perceptions of fragility – or precarity – that provided a design challenge and directed the particular spatial response. The specific typology of the project whether that be a housing health children’s or a First Nations project. The personal values that influenced the architects to work on humanitarian/community projects and how consultation occurred with diverse and often contested project stakeholders. The experiences of the design team as well as project managers occupants and donors of the built project exploring what they deemed successful about the project and what if any were its limitations. Beautifully designed with over 150 illustrations this practical and inspiring book is for architects landscape architects design educators humanitarian and development aid agencies that are involved or seeking to be part of future disaster mitigation and reconstruction strategies and projects globally. | Design for Fragility 13 Stories of Humanitarian Architects

GBP 29.99
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Planning For Computing In Higher Education Proceedings Of The 1979 Educom Fall Conference

The Industrialization of Intelligence Mind and Machine in the Modern Age

Generative Systems Art The Work of Ernest Edmonds

Emotion in Animated Films

Qualitative Computing: Using Software for Qualitative Data Analysis

Qualitative Computing: Using Software for Qualitative Data Analysis

As qualitative researchers incorporate computer assistance into their analytic approaches important questions arise about the adoption of new technology. Is it worth learning computer-assisted methods? Will the pay-off be sufficient to justify the investment? Which programs are worth learning? What are the effects on the analysis process? This book complements the existing literature by giving a detailed account of the use of four major programs in analyzing the same data. Priority is given to the tasks of qualitative analysis rather than to program capability and the programs are treated as tools rather than as a discipline to be acquired. The key is not what the programs allow researcher to do but whether the tasks that researchers need to undertake are facilitated by the software. Thus the study develops a user-centred approach to the adoption of computer-assisted qualitative data analysis. The author emphasises qualitative analysis as a creative craft but one which must increasingly be subject to rigorous methodological scrutiny. The adoption of computer-aided methods offers opportunities but also dangers and ultimately this book is about the scientific qualitative research. Written in a distinctive and succinct style this book will be valuable to social science researchers and students interested in qualitative research and in the potential for computer-assisted analysis. | Qualitative Computing: Using Software for Qualitative Data Analysis

GBP 42.99
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