Course Specifications for IB Math AI HL
1. Number & Algebra
Number Toolkit
Standard Form
Approximation
Upper & Lower Bounds
Percentage Error
Accuracy & Estimation
Solving Equations using a GDC
Exponentials & Logs
Laws of Indices
Introduction to Logarithms
Laws of Logarithms
Sequences & Series
Language of Sequences & Series
Sigma Notation
Arithmetic Sequences & Series
Geometric Sequences & Series
Applications of Sequences & Series
Financial Applications
Compound Interest & Depreciation
Amortisation
Annuities
Complex Numbers
Introduction to Complex Numbers
Operations with Complex Numbers
Complex Roots of Quadratics
Modulus & Argument
Introduction to Argand Diagrams
Further Complex Numbers
Geometry of Complex Numbers
Modulus–Argument (Polar) Form
Exponential (Euler’s) Form
Conversion between Forms of Complex Numbers
Frequency & Phase of Trig Functions
Matrices
Introduction to Matrices
Operations with Matrices
Determinants & Inverses
Solving Systems of Linear Equations with Matrices
Eigenvalues & Eigenvectors
The Characteristic Polynomial, Eigenvalues & Eigenvectors
Diagonalisation & Powers of Matrices
2. Functions
Linear Functions & Graphs
Equations of a Straight Line
Parallel & Perpendicular Lines
Further Functions & Graphs
Functions & Mappings
Graphing Functions & Their Key Features
Intersecting Graphs
Quadratic Functions & Graphs
Cubic Functions & Graphs
Exponential Functions & Graphs
Sinusoidal Functions & Graphs
Modelling with Functions
Linear Models
Quadratic Models
Cubic Models
Exponential Models
Direct & Inverse Variation
Sinusoidal Models
Strategy for Modelling Functions
Functions Toolkit
Composite Functions
Inverse Functions
Transformations of Graphs
Translations of Graphs
Reflections of Graphs
Stretches of Graphs
Composite Transformations of Graphs
Modelling with Logarithmic, Logistic & Piecewise Functions
Natural Logarithmic Models
Logistic Models
Piecewise Models
3. Geometry & Trigonometry
Geometry Toolkit
Coordinate Geometry
Perpendicular Bisectors
Arcs & Sectors Using Degrees
Radian Measure
Arcs & Sectors Using Radians
Geometry of 3D Shapes
3D Coordinate Geometry
Volume & Surface Area
Trigonometry
Pythagoras & Right-Angled Trigonometry
Sine Rule, Cosine Rule & Area of a Triangle
Angles of Elevation & Depression
Bearings & Constructions
Trigonometric Identities & Equations
The Unit Circle
Simple Identities
Graphs of Trigonometric Functions
Solving Equations Using Trigonometric Graphs
Voronoi Diagrams
Drawing Voronoi Diagrams
Interpreting Voronoi Diagrams
Toxic Waste Dump Problem
Matrix Transformations
Matrix Transformations
Matrices of Geometric Transformations
Matrices of Composite Transformations
Determinant of a Transformation Matrix
Vector Properties
Introduction to Vectors
Parallel Vectors
Adding & Subtracting Vectors
Position & Displacement Vectors
Magnitude of a Vector & Unit Vectors
The Scalar Product
Angle Between Two Vectors & Perpendicular Vectors
The Vector Product
Areas using the Vector Product
Components of Vectors
Geometric Proof with Vectors
Vector Equations of Lines
Equation of a Line in Vector Form
Equation of a Line in Parametric Form
Angle Between Two Lines
Shortest Distance Between a Point and a Line
Shortest Distance Between Two Lines
Modelling with Vectors
Kinematics with Vectors
Constant & Variable Velocity
Graph Theory
Introduction to Graph Theory
Walks & Adjacency Matrices
Minimum Spanning Trees (Kruskal’s Algorithm)
Minimum Spanning Trees (Prim’s Algorithm)
Chinese Postman Problem
Travelling Salesman Problem
Nearest Neighbour & Deleted Vertex Algorithms
4. Statistics & Probability
Statistics Toolkit
Sampling
Reliability & Validity of Data Collection Methods
Measures of Central Tendency
Measures of Dispersion
Frequency Tables
Linear Transformations of Data
Outliers
Box & Whisker Diagrams
Cumulative Frequency Graphs
Histograms
Interpreting Data
Correlation & Regression
Scatter Diagrams & Correlation
Pearson’s Product-Moment Correlation Coefficient
Spearman’s Rank Correlation Coefficient
Comparison of Correlation Coefficients
Linear Regression
Non-linear Regression
Least Squares Regression Curves & Coefficient of Determination
Logarithmic Scales
Linearising using Logarithms
Probability
Probability & Types of Events
Independent & Mutually Exclusive Events
Conditional Probability
Venn Diagrams
Tree Diagrams
Probability Distributions
Discrete Probability Distributions
Expected Values
Random Variables
Linear Combinations of Random Variables
Unbiased Estimates
Binomial Distribution
The Binomial Distribution
Calculating Binomial Probabilities
Normal Distribution
The Normal Distribution
Calculations with Normal Distribution
Combinations of Normal Distributions & Sample Mean Distributions
Sample Mean Distribution
Central Limit Theorem
Confidence Interval for the Mean
Poisson Distribution
Poisson Distribution
Calculating Poisson Probabilities
Hypothesis Testing using the Chi-squared Distribution
Introduction to Hypothesis Testing
Chi-squared Test for Independence
Goodness of Fit Test
Hypothesis Testing for Population Parameters
Hypothesis Testing for Mean (One Sample)
Hypothesis Testing for Mean (Two Sample)
Binomial Hypothesis Testing
Poisson Hypothesis Testing
Hypothesis Testing for Correlation
Type I & Type II Errors
Transition Matrices & Markov Chains
Markov Chains
Transition Matrices
Powers of Transition Matrices
Steady State & Long-term Probabilities
5. Calculus
Differentiation
Introduction to Derivatives
Differentiating Powers of x
Gradients, Tangents & Normals
Increasing & Decreasing Functions
Local Minimum & Maximum Points
Modelling with Differentiation
Further Differentiation
Differentiating Special Functions
Chain Rule
Product Rule
Quotient Rule
Related Rates of Change
Second Order Derivatives
Stationary Points
Concavity & Points of Inflection
Integration
Numerical Integration using the Trapezoidal Rule
Introduction to Integration
Integrating Powers of x
Finding the Constant of Integration
Finding Areas Using a GDC
Further Integration
Integrating Special Functions
Reverse Chain Rule
Integration by Substitution
Definite Integrals
Negative Integrals
Area Between Curve & y-axis
Area Between a Curve and a Line
Volumes of Revolution
Kinematics
Displacement, Velocity & Acceleration
Calculus for Kinematics
Differential Equations
Separation of Variables
Modelling with Differential Equations
Slope Fields
Approximate Solutions to Differential Equations using Euler’s Method
Coupled & Second Order Differential Equations
Coupled Differential Equations
Phase Portraits
Equilibrium Points
Sketching Solution Trajectories
Second Order Differential Equation
