David Wooff – författare

Prepare for the new Cambridge IGCSE® Design and Technology syllabus with the only title available on the market. The title follows a skills-building approach that links together the theory and practical parts of the syllabus to effectively build students’ key skills and knowledge, while also providing support and guidance for teachers.Exam Board: Cambridge Assessment International EducationFirst teaching: 2018 First examination: 2020 Be fully prepared to teach the Cambridge IGCSE® Design and Technology syllabus 0445 for first teaching 2018, first examination 2020Have confidence in the content and approach of the Student Book, which is written by highly experienced teachers of Design and Technology from around the worldPrepare for both the written and practical parts of the exam with guidance on the final project and exam-style questionsProvides detailed information that will allow students to develop the skills they need to make the transition from theory to practical applicationAll three optional papers (Resistant Materials, Graphic Products, and Systems and Control) covered in full, in addition to the core Product Design sectionAdditional material for students and teachers available online at the Collins Hub, including the full Student Book online, interactive quizzes and activity sheetsMeets the needs of English as a Second Language learners with a fresh, visual design and tailored languageProvides a fully international course with international examples, contexts and real-life case studiesThis title is endorsed by Cambridge Assessment International Education.IGCSE® is the registered trademark of Cambridge Assessment International Education.

Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. Bayes Linear Statistics presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field. The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed practical examples.The book covers: The importance of partial prior specifications for complex problems where it is difficult to supply a meaningful full prior probability specification.Simple ways to use partial prior specifications to adjust beliefs, given observations.Interpretative and diagnostic tools to display the implications of collections of belief statements, and to make stringent comparisons between expected and actual observations.General approaches to statistical modelling based upon partial exchangeability judgements.Bayes linear graphical models to represent and display partial belief specifications, organize computations, and display the results of analyses.Bayes Linear Statistics is essential reading for all statisticians concerned with the theory and practice of Bayesian methods. There is an accompanying website hosting free software and guides to the calculations within the book.

Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these beliefs, given observational data. The methodology differs from the full Bayesian methodology in that it establishes simpler approaches to belief specification and analysis based around expectation judgements. Bayes Linear Statistics presents an authoritative account of this approach, explaining the foundations, theory, methodology, and practicalities of this important field.

The text provides a thorough coverage of Bayes linear analysis, from the development of the basic language to the collection of algebraic results needed for efficient implementation, with detailed practical examples.

The book covers:

The importance of partial prior specifications for complex problems where it is difficult to supply a meaningful full prior probability specification. Simple ways to use partial prior specifications to adjust beliefs, given observations. Interpretative and diagnostic tools to display the implications of collections of belief statements, and to make stringent comparisons between expected and actual observations. General approaches to statistical modelling based upon partial exchangeability judgements. Bayes linear graphical models to represent and display partial belief specifications, organize computations, and display the results of analyses.

Bayes Linear Statistics is essential reading for all statisticians concerned with the theory and practice of Bayesian methods. There is an accompanying website hosting free software and guides to the calculations within the book.

The Bloomsbury Handbook of Technology Education draws together international perspectives on contemporary praxis in technology education from philosophy to empirical research. Through carefully commissioned chapters, leading authors explore the fundamentals of technology education, curriculum and pedagogy. Chapters discuss technology education as it can be experienced by children and young people, inside and outside of the classroom, across the world, as well as the importance of technology and the history and philosophical origins of technology education. Carefully curated, this is an innovative and exciting volume for students, teachers, teacher educators, researchers, lecturers and professors in technology education.

The Bloomsbury Handbook of Technology Education draws together international perspectives on contemporary praxis in technology education from philosophy to empirical research. Through carefully commissioned chapters, leading authors explore the fundamentals of technology education, curriculum and pedagogy. Chapters discuss technology education as it can be experienced by children and young people, inside and outside of the classroom, across the world, as well as the importance of technology and the history and philosophical origins of technology education. Carefully curated, this is an innovative and exciting volume for students, teachers, teacher educators, researchers, lecturers and professors in technology education.

The Bloomsbury Handbook of Technology Education draws together international perspectives on contemporary praxis in technology education from philosophy to empirical research. Through carefully commissioned chapters, leading authors explore the fundamentals of technology education, curriculum and pedagogy. Chapters discuss technology education as it can be experienced by children and young people, inside and outside of the classroom, across the world, as well as the importance of technology and the history and philosophical origins of technology education. Carefully curated, this is an innovative and exciting volume for students, teachers, teacher educators, researchers, lecturers and professors in technology education.