Products related to Quantitative:
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Technology Roadmapping and Development : A Quantitative Approach to the Management of Technology
This textbook explains Technology Roadmapping, in both its development and practice, and illustrates the underlying theory of, and empirical evidence for, technologic evolution over time afforded by this strategy.The book contains a rich set of examples and practical exercises from a wide array of domains in applied science and engineering such as transportation, energy, communications, and medicine.Professor de Weck gives a complete review of the principles, methods, and tools of technology management for organizations and technologically-enabled systems, including technology scouting, roadmapping, strategic planning, R&D project execution, intellectual property management, knowledge management, partnering and acquisition, technology transfer, innovation management, and financial technology valuation.Special topics also covered include Moore’s law, S-curves, the singularity and fundamental limits to technology.Ideal for university courses in engineering, management, and business programs, as well as self-study or online learning for professionals in a range of industries, readers of this book will learn how to develop and deploy comprehensive technology roadmaps and R&D portfolios on diverse topics of their choice. Introduces a unique framework, Advanced Technology Roadmap Architecture (ATRA), for developing quantitative technology roadmaps and competitive R&D portfolios through a lucid and rigorous step-by-step approach;Elucidates the ATRA framework through analysis which was validated on an actual $1 billion R&D portfolio at Airbus, leveraging a pedagogy significantly beyond typical university textbooks and problem sets;Reinforces concepts with in-depth case studies, practical exercises, examples, and thought experiments interwoven throughout the text;Maximizes reader competence on how to explicitly link strategy, finance, and technology. The book follows and supports the MIT Professional Education Courses “Management of Technology: Roadmapping & Development,” https://professional.mit.edu/course-catalog/management-technology-roadmapping-development and “Management of Technology: Strategy & Portfolio Analysis” https://professional.mit.edu/course-catalog/management-technology-strategy-portfolio-analysis
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Innovation in Information Technology
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Critical ICT4D (Information and Communication Technologies for Development)
The edited volume Critical ICT4D highlights the need for a paradigm change in theorising, designing, and researching Information and Communication Technologies for Development (ICT4D).Engaging authors from the Majority World and entering a process of restoring epistemic justice in knowledge production and ownership, the text:Reflects on the histories and narratives around development programmes, their deep-rooted socio-political background, and the power relations integrated into or induced by such measuresProblematises the current scholarship and practices through decolonial and pluralistic approaches built with an explicit perspective of resisting epistemic violenceConstructs justice-enacting engagements of technologies with society. Offering thematic discussions in many development sectors with up-to-date case studies informed by recent research in the field, it sheds light on constructive contributions of critical ICT4D research.Written in accessible language, the book will appeal to postgraduate students, fellow researchers, policymakers in the fields of sociology, development studies, STS, critical data studies, surveillance studies, international relations, public administration, and information systems. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution (CC-BY) 4.0 license.
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Spatial Information Technology for Sustainable Development Goals
This textbook aims to develop a scientific knowledge base on spatial information technology to communicate the United Nations' Sustainable Development Goals (SDGs) among students, researchers, professionals and laymen.The book improves understanding of the spatial database and explains how to extract information from this for planning purposes.To enhance the knowledge of geoscientists and environmentalists, the book describes the basic fundamental concepts to advance techniques for spatial data management and analysis and discusses the methodology.The Geographic Information System (GIS), remote sensing and Global Positioning System (GPS) are presented in an integrated manner for the planning of resources and infrastructure.The management of these systems is discussed in a very lucid way to develop the reader's skills.The proper procedure for map making and spatial analysis are included along with case studies to the reader.Where thefirst part of the book discusses the conceptual background, the second part deals with case studies using these applications in different disciplines.The presented case studies include land use, agriculture, flood, watershed characterization and infrastructure assessment for the Sustainable Development Goals.
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What are quantitative questions?
Quantitative questions are those that can be answered with numerical data or measurements. These questions often seek to quantify or measure something, such as the frequency, amount, or size of a particular phenomenon. They are commonly used in research and surveys to gather specific data and analyze trends or patterns. Quantitative questions are important for obtaining precise and measurable information that can be used for statistical analysis and drawing conclusions.
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What are quantitative considerations in chemistry?
Quantitative considerations in chemistry involve the measurement and calculation of quantities such as mass, volume, concentration, and moles. These measurements are essential for determining the amount of reactants needed, predicting the amount of products formed, and understanding the stoichiometry of chemical reactions. Quantitative analysis also helps in determining the purity of substances, identifying unknown compounds, and evaluating the efficiency of chemical processes. Overall, quantitative considerations play a crucial role in understanding and applying the principles of chemistry in a practical and quantitative manner.
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What is a quantitative performance limitation?
A quantitative performance limitation refers to a specific numerical constraint or restriction that impacts the performance of a system, process, or individual. This limitation is typically measured and expressed in numerical terms, such as a maximum capacity, minimum threshold, or specific numerical target. It can affect various aspects of performance, including speed, capacity, accuracy, and efficiency. Identifying and addressing quantitative performance limitations is important for optimizing performance and achieving desired outcomes.
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Are they qualitative or quantitative data?
Without knowing the specific data in question, it is difficult to determine whether they are qualitative or quantitative. Qualitative data typically involves descriptions, observations, and non-numeric information, while quantitative data involves numerical measurements and counts. If you provide more details about the data, I can help you determine whether it is qualitative or quantitative.
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The Language of ICT : Information and Communication Technology
The Language of ICT:* explores the nature of the electronic word and presents the new types of text in which it is found* examines the impact of the rapid technological change we are living through* analyses different texts, including email and answerphone messages, webpages, faxes, computer games and articles about IT* provides detailed guidance on downloading material from the web, gives URLs to visit, and includes a dedicated webpage* includes a comprehensive glossary of terms.
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Communication and Information Technology in (Intercultural) Language Teaching
The topic of this book is in congruence with the current trends in foreign language education worldwide.On the one hand, it tackles the concept and implementation of intercultural language teaching; on the other, it analyses the circumstances in which information and communication technology may be utilised in the contemporary EFL classroom.Both intercultural teaching and Computer Assisted Language Learning (CALL) have been promoted by national/international educational documents in Europe, the USA and Asia, and endorsed by international organisations, including the Council of Europe and UNESCO.This book constitutes a pioneering attempt at establishing the role of ICT in English language and culture teaching within the Polish education system.However, the research instruments used within both research modules are applicable to other education systems worldwide, while the results obtained have implications for intercultural and computer-assisted language education in international contexts.The research results presented in the book highlight to the broad EFL profession a wide range of issues relating to the use of ICT in the foreign language classroom.They also offer materials writers, software designers and EFL teachers criteria with which to evaluate the intercultural component of CALL software.
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Cambridge IGCSE Information and Communication Technology Third Edition
This title is endorsed by Cambridge Assessment International Education to support the full syllabus for examination from 2023. Written by renowned expert authors, our updated resources enable the learner to effectively navigate through the content of the updated Cambridge IGCSE™ Information and Communication Technology syllabuses (0417/0983). - Develop skills when working with documents, databases and presentations: detailed step-by-step guidance demonstrates precisely how to perform a full range of software skills. - Build an understanding of theory: concepts are carefully explained and consolidated with a range of different activities. - Tackle spreadsheets and website authoring with confidence: challenging ideas are fully exemplified, with plenty of opportunity to practice using embedded Tasks. - Navigate the syllabus confidently: learning content is clearly mapped to the syllabus, with introductions to each topic outlining the learning objectives. - Consolidate skills and check understanding: activities and exam-style questions are embedded throughout the book, alongside key definitions of technical terms and a Glossary.
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Information for Sustainable Development : Technology, People and Society
Information for Sustainable Development is a landmark publication that examines the perspectives, challenges and progress towards achieving the targets of the UN sustainable development goals (SDGs), through the lens of information science.Written by an author team with extensive experience in the research and practice of information and sustainability, the book provides a thorough introduction to the SDGs and the impact of information, data, people and society on measuring performance and assessing progress in achieving the SDG goals. Split into four distinct sections, the book provides an introduction to the landscape for information, data and metadata in the context of the SDGs, before exploring key topics such as:how metadata is used in measuring progress and success, and the challenges and complexities of calculation methods and the interpretation of datadigital literacy and the digital divide across different countries and regions, and how critical information skills are in achieving success in the SDGsspecific human and social challenges associated with the SDGseducation for sustainable development and the role of environmental literacyan examination of the research and development in the information sector around green libraries, climate change and sustainability, including a proposed research and training framework for future information science research. This book will be a valuable resource for researchers, students and professionals in information and computer sciences as well as disciplines such as politics, business and education.It will provide inspiration and new discussion on how the information, data, people and societal elements of the SDGs should be considered and embedded in future research and training activity.
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What does the term quantitative thinking mean?
Quantitative thinking refers to the ability to understand and analyze numerical data in a logical and systematic way. It involves using mathematical and statistical tools to interpret information, make informed decisions, and solve problems. Quantitative thinking helps individuals to critically evaluate data, identify patterns, and draw meaningful conclusions based on evidence and facts. It is an essential skill in various fields such as science, economics, finance, and research.
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What is physics as a quantitative science?
Physics as a quantitative science is the study of the natural world through the use of mathematical and numerical analysis. It seeks to understand and describe the fundamental laws and principles that govern the behavior of matter and energy. By using quantitative methods, such as measurements, calculations, and experiments, physicists are able to make precise predictions and test the validity of their theories. This approach allows for the development of mathematical models that can accurately describe and predict the behavior of physical systems.
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How can one compare quantitative and qualitative research?
Quantitative research involves collecting and analyzing numerical data to identify patterns and relationships, while qualitative research focuses on understanding the underlying reasons, motivations, and opinions behind those patterns. One can compare quantitative and qualitative research by considering their methods of data collection and analysis. Quantitative research typically uses structured surveys and statistical analysis, while qualitative research relies on interviews, observations, and thematic analysis. Both approaches have their strengths and limitations, and researchers often use a combination of both methods to gain a comprehensive understanding of a research topic.
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What is meant by the term quantitative thinking?
Quantitative thinking refers to the ability to understand and analyze numerical data in a logical and systematic way. It involves using mathematical and statistical techniques to interpret information, make decisions, and solve problems. Quantitative thinking is essential in various fields such as science, economics, and business, as it helps in making informed decisions based on data-driven evidence. It also involves critical thinking skills to evaluate the reliability and validity of the data being analyzed.
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