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1. |
Record Nr. |
UNINA9910461890003321 |
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Autore |
Donaldson Gina |
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Titolo |
Becoming a Primary Mathematics Specialist Teacher / / by Gina Donaldson, Jenny Field, Dave Harries, Clare Tope and Helen Taylor |
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Pubbl/distr/stampa |
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Boca Raton, FL : , : Taylor and Francis, an imprint of Routledge, , [2013] |
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©2012 |
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ISBN |
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1-136-32215-9 |
1-280-68197-7 |
9786613658913 |
0-203-12059-0 |
1-136-32216-7 |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (vi, 145 p.) : ill., graphs |
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Disciplina |
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Soggetti |
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Mathematics - Study and teaching (Primary) |
Teacher effectiveness |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction 1. The Role of the Primary Mathematics Specialist Teacher 2. Attitudes to Mathematics 3. Deep Subject Knowledge 4. Pedagogical Knowledge 5. Leading Professional Learning in Mathematics in your School; Mentoring and Coaching 6. Championing the teaching and learning of Multiplication 7. Championing the teaching and learning of Time 8. Championing the teaching and learning of Data handling Conclusions. |
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Sommario/riassunto |
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What is the role of the mathematics specialist? What is deep subject knowledge in mathematics? What sort of pedagogical knowledge does a mathematics specialist need? How can you best support your colleagues to improve mathematics teaching and learning? Becoming a Primary Mathematics Specialist Teacher helps you explore the role of the specialist in promoting positive attitudes towards mathematics and developing the teaching and learning of mathematics in your primary school. Illustrated throughout with classroom-based examples and referenced to relevant research, it is designed to support your |
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development as a reflective practitioner who can confidently review and develop practice in your own classroom, as well as challenge and move the whole school forward through collaborative professional development. Essential topics explored include: The nature of the role of the primary mathematics specialist Understanding how attitudes to mathematics evolve, and why it is crucial to challenge and change negativity What we mean by deep subject knowledge in primary mathematics Pedagogical knowledge of how mathematics is taught and learned The skills of coaching and mentoring to support teachers and teaching assistants Unpicking the principles of progression for high quality teaching in all years groups The key features of deep subject knowledge and pedagogy in three areas of the curriculum: multiplication, time and data handling. Becoming a Primary Mathematics Specialist Teacher is an essential source of guidance and ideas for all primary school teachers aiming to achieve Mathematics Specialist status or already taking this role, those studying primary mathematics as a specialism and at masters level, and for all primary mathematics co-ordinators. |
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2. |
Record Nr. |
UNINA9910552714203321 |
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Autore |
Chatterjee Chanchal |
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Titolo |
Adaptive Machine Learning Algorithms with Python : Solve Data Analytics and Machine Learning Problems on Edge Devices / / by Chanchal Chatterjee |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (290 pages) |
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Disciplina |
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Soggetti |
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Python (Computer program language) |
Machine learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1. Introducing Data Representation Features -- Chapter 2. |
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General Theories and Notations -- Chapter 3. Square Root and Inverse Square Root -- Chapter 4. First Principal Eigenvector -- Chapter 5. Principal and Minor Eigenvectors -- Chapter 6. Accelerated Computation eigenvectors -- Chapter 7. Generalized Eigenvectors -- Chapter 8. Real – World Applications Linear Algorithms. |
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Sommario/riassunto |
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Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use. Authors Chanchal Chatterjee and Vwani P. Roychowdhury begin by introducing a common framework for creating adaptive algorithms, and demonstrating how to use it to address various streaming data issues. Examples range from using matrix functions to solve machine learning and data analysis problems to more critical edge computation problems. They handle time-varying, non-stationary data with minimal compute, memory, latency, and bandwidth. Upon finishing this book, you will have a solid understanding of how to solve adaptive machine learning and data analytics problems and be able to derive new algorithms for your own use cases. You will also come away with solutions to high volume time-varying data with high dimensionality in a low compute, low latency environment. You will: Apply adaptive algorithms to practical applications and examples Understand the relevant data representation features and computational models for time-varying multi-dimensional data Derive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real data Speed up your algorithms and put them to use on real-world stationary and non-stationary data Master the applications of adaptive algorithms on critical edge device computation applications. |
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3. |
Record Nr. |
UNINA9910418012303321 |
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Titolo |
The Hospice journal |
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Pubbl/distr/stampa |
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[Binghamton, NY], : Haworth Press, [©1985]-©2001 |
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Descrizione fisica |
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Soggetti |
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Hospice care |
Terminal care |
Pastoral medicine |
Hospices |
Médecine pastorale |
Periodical |
Periodicals. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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