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DIGITAL - Cambridge IGCSE™ International Mathematics Digital Teacher’s Resource (5 Years' Access)

R1,695.00
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SKU:
ISBN 9781009295994
UPC:
9781009295994
Condition:
New
Availability:
Online digital teacher's resource available via access code. Code generated at publisher level in the UK and generally provided within 48 hours. This digital resource purchase has a 5 year usage license.

Product Description

DIGITAL - Cambridge IGCSE™ International Mathematics Digital Teacher’s Resource (5 Years' Access)

Author(s): Nick Asker, Andrew Manning

Format: Digital

This series supports teachers and learners of the Cambridge IGCSE™ International Mathematics syllabus (0607). Feel supported in teaching Cambridge IGCSE™ International Mathematics with this digital teacher’s resource, aligned to the coursebook.

The resource includes guidance such as advice on teaching strategies, a lesson plan template, teaching notes, language support features and answers to the coursebook.

Features:

  • Teaching ideas that focus on developing the key aspects of the syllabus, such as investigation and the use of graphic display calculators.

  • Highlighted common mathematical misconceptions and advice for working through them help you guide students.

  • Differentiation suggestions enable you to support and challenge all students, no matter what their ability.

  • Accessibility Information: The accessibility information of this publication is unknown.

Contents:

  • 1 Number

  • 2 Operations with numbers

  • 3 Using number

  • 4 Angles and bearings

  • 5 Triangles, quadrilaterals and polygons

  • 6 Indices, standard forms and surds

  • 7 Introduction to algebra

  • 8 Simultaneous linear equations

  • 9 Symmetry, congruency and similarity

  • 10 Pythagoras' theorem

  • 11 Coordinate geometry

  • 12 Mensuration

  • 13 Quadratic expressions

  • 14 Functions 1

  • 15 Trigonometry

  • 16 Circle properties

  • 17 Vectors and transformations

  • 18 Sets

  • 19 Descriptive statistics

  • 20 Cumulative frequency graphs and linear regression

  • 21 Probability

  • 22 Sequences

  • 23 Functions 2

  • 24 Modelling


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Other Details

Format:
Digital