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The Explorer Progress Book supports the activities in the Numicon Geometry, Measurement and Statistics 3 Teaching Resource Handbook and offers an opportunity for teachers to assess individual children and monitor progress.
The Explorer Progress Book supports the activities in the Numicon Geometry, Measurement and Statistics 3 Teaching Resource Handbook and offers an opportunity for teachers to assess individual children and monitor progress. This pack contains 30 copies of the Numicon Geometry, Measurement and Statistics 3 Explorer Progress Book.
The Explorer Progress Books support the activities in the Numicon Teaching Resource Handbooks and offer an opportunity for teachers to assess individual children and monitor progress.A great assessment tool, allowing teachers to gather evidence of children's achievements.Real-life contexts allow teachers to assess children's ability apply their mathematics learning when faced with 'non-routine' problems.Children are free to record their answers in their own way, so teachers can see their thinking.Geometry, Measurement and Statistics Explorer Progress books are also available as single titles.
The Numicon Geometry, Measurement and Statistics 3 Teaching Pack comprises a Teaching Resource Handbook and an Implementation Guide for teachers of children aged 7-8. The pack provides step-by-step activities and practice, with planning support and assessment opportunities, alongside advice on how best to implement Numicon in your school.
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Are current testing practices consistent with the goals of the reform movement in school mathematics? If not, what are the alternatives? How can authentic performance in mathematics be assessed? These and similar questions about tests and their uses have forced those advocating change to examine the way in which mathematical performance data is gathered and used in American schools. This book provides recent views on the issues surrounding mathematics tests, such as the need for valid performance data, the implications of the Curriculum and Evaluation Standards for School Mathematics for test development, the identification of valid items and tests in terms of the Standards, the procedures now being used to construct a sample of state assessment tests, gender differences in test taking, and methods of reporting student achievement.
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
