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IB Maths AA Syllabus + Topics

Wojtek

By Wojtek

04 Oct 2024

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Exploring the IB Mathematics Analysis & Approaches syllabus provides a clear view of the skills and knowledge you'll acquire throughout the course. Join us as we unpack the key concepts of the syllabus, giving you a better understanding of what to expect on your learning journey. 

 

 

IB Maths AA Syllabus + Topics

 

 

The IB Mathematics Analysis & Approaches syllabus is made up of five topics:

 

Topic 1: Number and algebra

 

In this topic, students explore the following concepts:

  • 1.1
    • Operations with numbers in the form a × 10k where 1 ≤ a < 10 and k is an integer
  • 1.2
    • Arithmetic sequences and series
    • Use of the formulae for the nth term and the sum of the first n terms of the sequence
    • Use of sigma notation for sums of arithmetic sequences 
    • Applications of the skills above
    • Analysis, interpretation and prediction where a model is not perfectly arithmetic in real life
  • 1.3 
    • Geometric sequences and series
    • Use of the formulae for the nth term and the sum of the first n terms of the sequence
    • Use of sigma notation for the sums of geometric sequences
    • Applications of the skills above
  • 1.4
    • Financial applications of geometric sequences and series (compound interest and annual depreciation)
  • 1.5
    • Laws of exponents with integer exponents
    • Introduction to logarithms with base 10 and e
    • Numerical evaluation of logarithms using technology
  • 1.6
    • Simple deductive proof, numerical and algebraic; how to lay out a left-hand side to right-hand side (LHS to RHS) proof
    • The symbols and notations for equality and identity
  • 1.7 
    • Laws of exponents with rational exponents
    • Laws of logarithms
    • Change of base of a logarithm
    • Solving exponential equations, including using logarithms. 
  • 1.8
    • Sum of infinite convergent geometric sequences
  • 1.9
    • The binomial theorem
    • Use of Pascal's triangle and nCr
  • 1.10 (HL only)
    • Counting principles, including permutations and combinations
    • Extension of the binomial theorem to fractional and negative indices
  • 1.11 (HL only)
    • Partial fractions 
  • 1.12 (HL only)
    • Complex numbers: the number i, where i2 = − 1
    • Cartesian form z = a + bi; the terms real part, imaginary part, conjugate, modulus and argument
    • The complex plane
  • 1.13 (HL only)
    • Modulus-argument (polar) form
    • Euler form
    • Sums, products and quotients in Cartesian, polar or Euler forms and their geometric interpretation
  • 1.14 (HL only)
    • Complex conjugate roots of quadratic and polynomial equations with real coefficients
    • De Moivre’s theorem and its extension to rational exponents
    • Powers and roots of complex numbers
  • 1.15 (HL only)
    • Proof by mathematical induction 
    • Proof by contradiction 
    • Use of a counterexample to show that a statement is Example: Consider the set P of numbers of the form not always true
  • 1.16 (HL only)
    • Solutions of systems of linear equations (a maximum of three equations in three unknowns) including cases where there is a unique solution, an infinite number of solutions or no solution

 

 

 

Topic 2: Functions

 

In this topic, students explore the following concepts:

  • 2.1 
    • Different forms of the equation of a straight line
    • Gradient; intercepts
    • Lines with gradients m1 and m2
    • Parallel lines m1 = m2
    • Perpendicular lines m1 × m2 = − 1
  • 2.2
    • Concept of a function, domain, range and graph
    • Function notation
    • The concept of a function as a mathematical model
    • Informal concept that an inverse function reverses or undoes the effect of a function
    • Inverse function as a reflection in the line y = x, and the notation f−1 (x)
  • 2.3
    • The graph of a function
    • Creating a sketch from information given or a context, including transferring a graph from screen to paper
    • Using technology to graph functions including their sums and differences
  • 2.4
    • Determine key features of a graph
    • Finding the point of intersection of two curves or lines using technology
    • Composite functions
    • Identity function. Finding the inverse function
  • 2.6
    • The quadratic function, its graph, and y-intercept 
    • The quadratic function f(x) = ax2 + bx + c: its graph, y-intercept (0, c). Axis of symmetry
    • The form f(x) = a(x − p)(x − q), x-intercepts (p, 0) and (q, 0)
    • The form f(x) = a (x − h)2 + k, vertex (h, k)
  • 2.7
    • Solution of quadratic equations and inequalities. The quadratic formula
    • The discriminant Δ = b2 − 4ac and the nature of the roots, that is, two distinct real roots, two equal real roots, no real roots
    • The reciprocal function f(x) = 1/x , x ≠ 0: its graph and self-inverse nature
    • Rational functions of the form f(x) = ax+b/cx+d and their graphs
    • Equations of vertical and horizontal asymptotes
  • 2.9
    • Exponential functions and their graphs: f(x) = ax, a > 0, f(x) = ex
    • Logarithmic functions and their graphs: f(x)=logax, x>0, f(x)=lnx, x>0
  • 2.10
    • Solving equations, both graphically and analytically
    • Use of technology to solve a variety of equations, including those where there is no appropriate analytic approach
    • Applications of graphing skills and solving equations that relate to real-life situations
  • 2.11
    • Transformations of graphs
    • Transaltions
    • Reflections
    • Verticle and horizontal stretch 
    • Composite transformations
  • 2.12 (HL only)
    • Polynomial functions, their graphs and equations; zeros, roots and factors
    • The factor and remainder theorems
    • Sum and product of the roots of polynomial equations
  • 2.13 (HL only)
    • Rational functions
  • 2.14 (HL only)
    • Odd and even functions 
    • Finding the inverse function, including domain restriction 
    • Self-inverse functions
  • 2.15 (HL only)
    • Solutions of g(x) ≥ f (x), both graphically and analytically
  • 2.16 (HL only)
    • Solution of modulus equations and inequalities. 

 

 

Topic 3: Geometry and Trigonometry

 

In this topic, students explore the following concepts:

  • 3.1
    • The distance between two points in three- dimensional space, and their midpoint
    • Volume and surface area of three-dimensional solids including right-pyramid, right cone, sphere, hemisphere and combinations of these solids
    • The size of an angle between two intersecting lines or between a line and a plane
  • 3.2
    • Use of sine, cosine and tangent ratios to find the sides and angles of right-angled triangles 
    • The sine and cosine rule
    • Area of a triangle
  • 3.3
    • Applications of right and non-right angled trigonometry, including Pythagoras’s theorem
    • Angles of elevation and depression 
    • Construction of labelled diagrams from written statements
  • 3.4
    • The circle: radian measure of angles; length of an arc; area of a sector 
  • 3.5
    • Definition of cosθ, sinθ in terms of the unit circle
    • Definition of tanθ as sinθ/cosθ 
    • Extension of the sine rule to the ambiguous case
  • 3.6
    • The Pythagorean identity cos2θ + sin2θ = 1
    • Double angle identities for sine and cosine
    • The relationship between trigonometric ratios
  • 3.7
    • The circular functions sinx, cosx, and tanx; amplitude, their periodic nature, and their graphs 
    • Composite functions of the form f(x) = asin(b(x + c)) + d
    • Transformations
  • 3.8
    • Solving trigonometric equations in a finite interval, both graphically and analytically
    • Equations leading to quadratic equations in sinx, cosx or tanx
  • 3.9 (HL only)
    • Definition of the reciprocal trigonometric ratios secθ, cosecθ and cotθ
    • Pyhtagorean identities
    • The inverse functions f(x) = arcsinx, f(x) = arccosx, f(x) = arctanx; their domains and ranges; their graphs
  • 3.10 (HL only)
    • Compound angle identities
    • Double angle identity for tan
  • 3.11 (HL only)
    • Relationships between trigonometric functions and the symmetry properties of their graphs
  • 3.12 (HL only)
    • Concept of a vector; position vectors; displacement vectors 
    • Representation of vectors using directed line segments
    • Base vectors i,j,k
    • Components, magnitude, position, and displacement of a vector
    • Proofs of geometrical properties using vectors
  • 3.13 (HL only)
    • The definition of the scalar product of two vectors
    • The angle between two vectors
    • Perpendicular vectors; parallel vectors
  • 3.14 (HL only)
    • Vector equation of a line in two and three dimensions: r = a + λb
    • The angle between two lines
    • Simple applications to kinematics
  • 3.15 (HL only)
    • Coincident, parallel, intersecting and skew lines, distinguishing between these cases 
    • Points of intersection
  • 3.16 (HL only)
    • The definition of the vector product of two vectors
    • Properties of the vector product
    • Geometric interpretation of | v × w |
  • 3.17 (HL only)
    • Vector equations of a plane: r = a + λb + μc, where b and c are non-parallel vectors within the plane; r · n = a · n, where n is a normal to the plane and a is the position vector of a point on the plane
    • Cartesian equation of a plane ax + by + cz = d
  • 3.18 (HL only)
    • Intersections of: a line with a plane; two planes; three planes
    • Angle between: a line and a plane; two planes

 

 

Topic 4: Statistics and probability 

 

In this topic, students explore the following concepts:

  • 4.1
    • Concepts of population, sample, random sample, discrete and continuous data
    • Reliability of data sources and bias in sampling
    • Interpretation of outliers
    • Sampling techniques and their effectiveness
  • 4.2
    • Presentation of data (discrete and continuous): frequency distributions (tables)
    • Histograms
    • Cumulative frequency; cumulative frequency graphs; use to find median, quartiles, percentiles, range and interquartile range (IQR)
    • Production and understanding of box and whisker diagrams
  • 4.3
    • Measures of central tendency (mean, median and mode) 
    • Estimation of mean from grouped data
    • Modal class
    • Measures of dispersion (interquartile range, standard deviation and variance)
    • Effect of constant changes on the original data
    • Quartiles of discrete data
  • 4.4
    • Linear correlation of bivariate data 
    • Pearson’s product-moment correlation coefficient, r
    • Scatter diagrams; lines of best fit, by eye, passing through the mean point
    • Equation of the regression line of y on x
    • Use of the equation of the regression line for prediction purposes
    • Interpret the meaning of the parameters, a and b, in a linear regression y = ax + b
  • 4.5
    •  Concepts of trial, outcome, equally likely outcomes, relative frequency, sample space (U) and event
    • The probability of an event
    • The complementary events A and A′ (not A)
    • Expected number of occurrences
  • 4.6
    • Use of Venn diagrams, tree diagrams, sample space diagrams and tables of outcomes to calculate probabilities
    • Combined events 
    • Mutually exclusive events
    • Conditional probability
    • Independent events
  • 4.7
    • Concept of discrete random variables and their probability distributions 
    • Expected value (mean), for discrete data 
    • Applications of above concepts
  • 4.8
    • Binomial distribution
    • Mean and variance of the binomial distribution
  • 4.9
    • The normal distribution and curve 
    • Properties of the normal distribution 
    • Diagrammatic representation
    • Normal probability calculations
    • Inverse normal calculations
  • 4.10
    • Equation of the regression line of x on y
    • Use of the equation for prediction purposes
  • 4.11
    • Conditional probabilities and independent events
  • 4.12
    • Standardization of normal variables (z- values)
    • Inverse normal calculations where mean and standard deviation are unknown
  • 4.13 (HL only)
    • Use of Bayes’ theorem for a maximum of three events
  • 4.14 (HL only)
    • Variance of a discrete random variable
    • Continuous random variables and their probability density functions
    • Mode and median of continuous random variables
    • Mean, variance and standard deviation of both discrete and continuous random variables
    • The effect of linear transformations of X

 

 

Topic 5: Calculus

 

In this topic, students explore the following concepts:

  • 5.1
    • Introduction to the concept of a limit
    • Derivative interpreted as gradient function and as rate of change
  • 5.2
    • Increasing and decreasing functions
    • Graphical interpretation of f′(x) > 0, f′(x) = 0, f′(x) < 0
  • 5.3
    • Derivative of f(x) = axn is f ′(x) = anxn−1, n ∈ Z
    • The derivative of functions of the form f(x) = axn + bxn−1... where all exponents are integers
  • 5.4
    • Tangents and normals at a given point, and their equations
  • 5.5
    • Introduction to integration as anti-differentiation of functions of the form f(x) = axn + bxn-1 + ...., where n∈Z, n≠ −1
    • Anti-differentiation with a boundary condition to determine the constant term
    • Definite integrals using technology 
    • Area of a region enclosed by a curve y = f(x) and the x -axis, where f (x) > 0
  • 5.6
    • Derivative of xn (n ∈ Q), sinx, cosx, ex and lnx. 
    • Differentiation of a sum and a multiple of these functions
    • The chain rule for composite functions
    • The product and quotient rules
  • 5.7
    • The second derivative 
    • Graphical behaviour of functions, including the relationship between the graphs of f , f ′ and f'′
  • 5.8
    • Local maximum and minimum points 
    • Testing for maximum and minimum
    • Optimization
    • Points of inflexion with zero and non-zero gradients
  • 5.9
    • Kinematic problems involving displacement s, velocity v, acceleration a and total distance travelled
  • 5.10
    • Indefinite integrals
    • Composites
    • Reverse chain rule
  • 5.11
    • Definite integrals, including analytical approach
    • Areas of a region enclosed by a curve y = f (x) and the x-axis, where f(x) can be positive or negative, without the use of technology
    • Areas between curves 
  • 5.12 (HL only)
    • Informal understanding of continuity and differentiability of a function at a point
    • Understanding of limits (convergence and divergence)
    • Higher derivatives
  • 5.13 (HL only)
    • Evaluation of limits
    • Repeated use of l’Hôpital’s rule
  • 5.14 (HL only)
    • Implicit differentiation 
    • Related rates of change 
    • Optimisation problems
  • 5.15 (HL only)
    • Derivatives of tanx, secx, cosecx,cotx, ax, logax, arcsinx, arccosx, arcta
    • Indefinite integrals of the derivatives of any of the above functions
    • The composites of any of the above with a linear function
    • Use of partial fractions to rearrange the integrand
  • 5.16 (HL only)
    • Integration by substitution
    • Integration by parts
    • Repeated integration by parts
  • 5.17 (HL only)
    • Area of the region enclosed by a curve and the y-axis in a given interval 
    • Volumes of revolution about the x-axis or y-axis
  • 5.18 (HL only)
    • First order differential equations
    • Numerical solution of dy/dx =  f(x,y) using Euler's rule
    • Variables seperable
    • Homogeneous differential equation dy/dx = f(y/x) using the substitution y = vx
    • Solution of y′ + P(x)y = Q(x), using the integrating factor
  • 5.19 (HL only)
    • Maclaurin series to obtain expansions for ex, sinx, cosx, ln(1 + x), (1 + x)p, p ∈ Q
    • Use of simple substitution, products, integration, differentiatio  to obtain other series
    • Maclaurin series developed from differential equation

 

 

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