1. Number & Algebra

1.1 Number Toolkit

1.1.1 Standard Form

1.1.2 Approximation & Estimation

1.1.3 GDC: Solving Equations

1.2 Exponentials & Logs

1.2.1 Exponents

1.2.2 Logarithms

1.3 Sequences & Series

1.3.1 Language of Sequences & Series

1.3.2 Arithmetic Sequences & Series

1.3.3 Geometric Sequences & Series

1.3.4 Applications of Sequences & Series

1.4 Financial Applications

1.4.1 Compound Interest & Depreciation

1.4.2 Amortisation & Annuities

1.5 Complex Numbers

1.5.1 Intro to Complex Numbers

1.5.2 Modulus & Argument

1.5.3 Introduction to Argand Diagrams

1.6 Further Complex Numbers

1.6.1 Geometry of Complex Numbers

1.6.2 Forms of Complex Numbers

1.6.3 Applications of Complex Numbers

1.7 Matrices

1.7.1 Introduction to Matrices

1.7.2 Operations with Matrices

1.7.3 Determinants & Inverses

1.7.4 Solving Systems of Linear Equations with Matrices

1.8 Eigenvalues & Eigenvectors

1.8.1 Eigenvalues & Eigenvectors

1.8.2 Applications of Matrices

2. Functions

2.1 Linear Functions & Graphs

2.1.1 Equations of a Straight Line

2.2 Further Functions & Graphs

2.2.1 Functions

2.2.2 Graphing Functions

2.2.3 Properties of Graphs

2.3 Modelling with Functions

2.3.1 Linear Models

2.3.2 Quadratic & Cubic Models

2.3.3 Exponential Models

2.3.4 Direct & Inverse Variation

2.3.5 Sinusoidal Models

2.3.6 Strategy for Modelling Functions

2.4 Functions Toolkit

2.4.1 Composite & Inverse Functions

2.5 Transformations of Graphs

2.5.1 Translations of Graphs

2.5.2 Reflections of Graphs

2.5.3 Stretches of Graphs

2.5.4 Composite Transformations of Graphs

2.6 Further Modelling with Functions

2.6.1 Properties of Further Graphs

2.6.2 Natural Logarithmic Models

2.6.3 Logistic Models

2.6.4 Piecewise Models

3. Geometry & Trigonometry

3.1 Geometry Toolkit

3.1.1 Coordinate Geometry

3.1.2 Radian Measure

3.1.3 Arcs & Sectors

3.2 Geometry of 3D Shapes

3.2.1 3D Coordinate Geometry

3.2.2 Volume & Surface Area

3.3 Trigonometry

3.3.1 Pythagoras & Right-Angled Trigonometry

3.3.2 Non Right-Angled Trigonometry

3.3.3 Applications of Trigonometry & Pythagoras

3.4 Further Trigonometry

3.4.1 The Unit Circle

3.4.2 Simple Identities

3.4.3 Solving Trigonometric Equations

3.5 Voronoi Diagrams

3.5.1 Voronoi Diagrams

3.5.2 Toxic Waste Dump Problem

3.6 Matrix Transformations

3.6.1 Matrix Transformations

3.6.2 Determinant of a Transformation Matrix

3.7 Vector Properties

3.7.1 Introduction to Vectors

3.7.2 Position & Displacement Vectors

3.7.3 Magnitude of a Vector

3.7.4 The Scalar Product

3.7.5 The Vector Product

3.7.6 Components of Vectors

3.7.7 Geometric Proof with Vectors

3.8 Vector Equations of Lines

3.8.1 Vector Equations of Lines

3.8.2 Shortest Distances with Lines

3.9 Modelling with Vectors

3.9.1 Kinematics with Vectors

3.9.2 Constant & Variable Velocity

3.10 Graph Theory

3.10.1 Introduction to Graph Theory

3.10.2 Walks & Adjacency Matrices

3.10.3 Minimum Spanning Trees

3.10.4 Chinese Postman Problem

3.10.5 Travelling Salesman Problem

3.10.6 Bounds for Travelling Salesman Problem

4. Statistics & Probability

4.1 Statistics Toolkit

4.1.1 Sampling

4.1.2 Data Collection

4.1.3 Statistical Measures

4.1.4 Frequency Tables

4.1.5 Linear Transformations of Data

4.1.6 Outliers

4.1.7 Univariate Data

4.1.8 Interpreting Data

4.2 Correlation & Regression

4.2.1 Bivariate Data

4.2.2 Correlation Coefficients

4.2.3 Linear Regression

4.3 Further Correlation & Regression

4.3.1 Non-linear Regression

4.3.2 Logarithmic Scales

4.3.3 Linearising using Logarithms

4.4 Probability

4.4.1 Probability & Types of Events

4.4.2 Conditional Probability

4.4.3 Sample Space Diagrams

4.5 Probability Distributions

4.5.1 Discrete Probability Distributions

4.5.2 Expected Values

4.6 Random Variables

4.6.1 Linear Combinations of Random Variables

4.6.2 Unbiased Estimates

4.7 Binomial Distribution

4.7.1 The Binomial Distribution

4.7.2 Calculating Binomial Probabilities

4.8 Normal Distribution

4.8.1 The Normal Distribution

4.8.2 Calculations with Normal Distribution

4.9 Further Normal Distribution (inc Central Limit Theorem)

4.9.1 Sample Mean Distribution

4.9.2 Confidence Interval for the Mean

4.10 Poisson Distribution

4.10.1 Poisson Distribution

4.10.2 Calculating Poisson Probabilities

4.11 Hypothesis Testing

4.11.1 Hypothesis Testing

4.11.2 Chi-squared Test for Independence

4.11.3 Goodness of Fit Test

4.12 Further Hypothesis Testing

4.12.1 Hypothesis Testing for Mean (One Sample)

4.12.2 Hypothesis Testing for Mean (Two Sample)

4.12.3 Binomial Hypothesis Testing

4.12.4 Poisson Hypothesis Testing

4.12.5 Hypothesis Testing for Correlation

4.12.6 Type I & Type II Errors

4.13 Transition Matrices & Markov Chains

4.13.1 Markov Chains

4.13.2 Transition Matrices

5. Calculus

5.1 Differentiation

5.1.1 Introduction to Differentiation

5.1.2 Applications of Differentiation

5.1.3 Modelling with Differentiation

5.2 Further Differentiation

5.2.1 Differentiating Special Functions

5.2.2 Techniques of Differentiation

5.2.3 Related Rates of Change

5.2.4 Second Order Derivatives

5.2.5 Further Applications of Differentiation

5.2.6 Concavity & Points of Inflection

5.3 Integration

5.3.1 Trapezoid Rule: Numerical Integration

5.3.2 Introduction to Integration

5.3.3 Applications of Integration

5.4 Further Integration

5.4.1 Integrating Special Functions

5.4.2 Techniques of Integration

5.4.3 Further Applications of Integration

5.4.4 Volumes of Revolution

5.5 Kinematics

5.5.1 Kinematics Toolkit

5.5.2 Calculus for Kinematics

5.6 Differential Equations

5.6.1 Modelling with Differential Equations

5.6.2 Separation of Variables

5.6.3 Slope Fields

5.6.4 Approximate Solutions to Differential Equations

5.7 Further Differential Equations

5.7.1 Coupled Differential Equations

5.7.2 Second Order Differential Equations

Study tools

• DP IB Maths: AI HL · Topic Questions
• DP IB Maths: AI HL · Flashcards