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IB Mathematics
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Oxford IB Diploma Programme: IB Mathematics: analysis and approaches, Standard Level, Print and Enhanced Online Course Book Pack
Oxford IB Diploma Programme: IB Mathematics: analysis and approaches, Standard Level, Print and Enhanced Online Course Book Pack
Author Paul La Rondie, Author Jill Stevens, Author Natasha Awada, Author Jennifer Chang Wathall, Author Ellen Thompson, Author Laurie Buchanan, and Author Ed Kemp
Price: £72.99
+VAT
ISBN:
978-0-19-842710-0
Publication date:
21/02/2019
Pack:
672 pages
Dimensions:
255x195mm
Availability: In stock.
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Description
Features
- Address all aspects of the new DP Mathematics: analysis and approaches SL syllabus via an Enhanced Online Course Book Pack - made up of one full-colour, print textbook and one online textbook, including extensive teacher notes
- Ensure learners are ready to tackle each topic with targeted 'Prior Knowledge' worksheets, linked to 'Before You Start' summaries and exercises at the start of every chapter
- Deliver in-depth coverage of all topics through clear explanations and worked solutions, animated worked examples, differentiated exercises and worksheets, with answers provided
- Adopt a concept-based approach with conceptual lenses and microconcepts woven into every chapter, plus rich investigations that integrate factual and conceptual questions - leading to meaningful, content-specific conceptual understanding
- Deepen mathematical understanding via inquiry-based tasks that relate to the content of each chapter, 'international mindedness' features, regular links to Theory of Knowledge, and activities that target ATL skills
- Support students' development of a mathematical toolkit, as required by the new syllabus, with modelling and investigation activities presented in each chapter, including prompts for reflection, and suggestions for further study
- Thoroughly prepare students for IB assessment via in-depth coverage of course content, overviews of all requirements, exam-style practice questions and papers, and a full chapter supporting the new mathematical exploration (IA)
- Includes support for the most popular Graphic Display Calculator models
- This Online Course Book will be available on Oxford Education Bookshelf until 2029. Access is facilitated via a unique code, which is sent in the mail. The code must be linked to an email address, creating a user account.
- Access may be transferred once to a new user, once the initial user no longer requires access. You will need to contact your local Educational Consultant to arrange this.
This page was last updated on 23 December 2024 at 09:00 GMT
Table of Contents
From patterns to generalizations: sequences and series
1.1: Number patterns and sigma notation
1.2: Arithmetic and geometric sequences
1.3: Arithmetic and geometric series
1.4: Modelling using arithmetic and geometric series
1.5: The binomial theorem
1.6: Proofs
Representing relationships: introducing functions
2.1: What is a function?
2.2: Functional notation
2.3: Drawing graphs of functions
2.4: The domain and range of a function
2.5: Composition of functions
2.6: Inverse functions
Modelling relationships: linear and quadratic functions
3.1: Parameters of a linear function
3.2: Linear functions
3.3: Transformations of functions
3.4: Graphing quadratic functions
3.5: Solving quadratic equations by factorization and completing the square
3.6: The quadratic formula and the discriminant
3.7: Applications of quadratics
Equivalent representations: rational functions
4.1: The reciprocal function
4.2: Transforming the reciprocal function
4.3: Rational functions of the form ax+b/cx+d
Measuring change: differentiation
5.1: Limits and convergence
5.2: The derivative function
5.3: Differentiation rules
5.4: Graphical interpretation of first and second derivatives
5.5: Application of differential calculus: optimization and kinematics
Representing data: statistics for univariate data
6.1: Sampling
6.2: Presentation of data
6.3: Measures of central tendency
6.4: Measures of dispersion
Modelling relationships between two data sets: statistics for bivariate data
7.1: Scatter diagrams
7.2: Measuring correlation
7.3: The line of best fit
7.4: Least squares regression
Quantifying randomness: probability
8.1: Theoretical and experimental probability
8.2: Representing probabilities: Venn diagrams and sample spaces
8.3: Independent and dependent events and conditional probability
8.4: Probability tree diagrams
Representing equivalent quantities: exponentials and logarithms
9.1: Exponents
9.2: Logarithms
9.3: Derivatives of exponential functions and the natural logarithmic function
From approximation to generalization: integration
10.1: Antiderivatives and the indefinite integral
10.2: More on indefinite integrals
10.3: Area and definite integrals
10.4: Fundamental theorem of calculus
10.5: Area between two curves
Relationships in space: geometry and trigonometry in 2D and 3D
11.1: The geometry of 3D shapes
11.1: Right-angles triangle trigonometry
11.3: The sine rule
11.4: The cosine rule
11.5: Applications of right and non-right angled trigonometry
Periodic relationships: trigonometric functions
12.1: Radian measure, arcs, sectors and segments
12.2: Trigonometric ratios in the unit circle
12.3: Trigonometric identities and equations
12.4: Trigonometric functions
Modelling change: more calculus
13.1: Derivatives with sine and cosine
13.2: Applications of derivatives
13,3: Integration with sine, cosine and substitution
13.4: Kinematics and accumulating change
Valid comparisons and informed decisions: probability distributions
14.1: Random variables
14.2: The binomial distribution
14.3: The normal distribution
Exploration
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