The following sample course outlines one possible implementation across 27 weeks, including time for School-assessed Coursework. Teachers are likely to draw on material from across the areas of study and present this in covering content related to different topics in various ways, and should adjust time allocations accordingly. Schools and teachers are encouraged to develop their own sequences or variations to this sample sequence, as applicable.
Area of study: Discrete mathematics Logic and proof – 2 weeks
This involves the basic constructs and techniques of proof. It is expected that students will be able to apply the techniques of these constructs and techniques to other areas. Proofs involve concepts from topics such as: divisibility, inequalities, graph theory, combinatorics, sequences and series including partial sums and partial products and related notations, complex numbers, matrices, vectors and calculus. Examples may include:
- Let
n be an integer. Then
n is divisible by 3 if and only if
n2 is divisible by 3.
- For all real numbers
x and
y prove that
x2 + 5y2 ≥ 2xy.
- Every graph has an even number of vertices of odd degree.
- Pascal’s rule,
nCr =
n-1Cr–1 + n-1Cr
- Induction proofs involving sequences, partial sums and products.
- Induction proof of De Moivre’s theorem.
- Induction proofs involving matrices e.g.
- Geometric proofs involving vectors.
- Reduction formula in integration (see example in integration).
Use of pseudocode and coding to help investigate properties and make conjectures.
See the linked file
Pseudocode for examples and conventions of pseudocode.
Other proof by induction resources:
AMSI – Proofs by induction
Wolfram Alpha
Area of study: Space and measurement Vectors – 3 weeks
Vector arithmetic and algebra, linear dependence and independence of a
set of vectors, geometric representation and interpretation.
Magnitude, direction, unit vectors, orthogonal vectors,
i, j, k vectors, rectangular components, scalar product, parallel and perpendicular vectors,
projections.
Vector
proofs of simple geometric results.
Area of study: Space and measurement Vectors and Cartesian equations – 2 weeks
Vector and parametric equations in two and three dimensions.
Consider information necessary to define a line.
Three different forms of equations of lines: vector, Cartesian and parametric.
Consider information necessary to define a plane.
It is useful to understand and use three different forms of equations of planes: vector, Cartesian and parametric.
Parallel, perpendicular, and skew lines. Distance of a point to a line, line segments, intersection of lines, concurrence of lines, angles between two lines, distance between skew lines.
Vector product and the geometric interpretation.
Normal vector to a plane, distance between parallel planes, intersections of planes.
Wolfram – Equation of a plane
Wolfram – Shortest distance between two skew lines
Area of study: Algebra, number and structure Complex numbers and algebra – 2 weeks
This topic follows on from the study of Complex numbers in Specialist Mathematics Units 1 and 2.
Arithmetic and algebra of complex numbers in
Cartesian and polar forms and representations in the complex plane (argand diagram), modulus and argument, basic identities.
De Moivre’s theorem, integer powers of complex numbers,
nth
roots of unity and other complex numbers, representation in the complex plane.
Factorisation of
polynomial functions with integer coefficients over C, conjugate root theorem.
Fundamental theorem of algebra and simple cases of factorisation of polynomial functions with complex coefficients.
Application task – 2 weeks
This could be held earlier or later depending on coverage of relevant concepts, skills and processes with respect to content and context for the application task. See VCAA Bulletin Supplements, December:
2002,
2003,
2004.
It is useful to understand and use three different forms of equations of lines: vector, Cartesian and parametric.
Sample application task:
Cubic and quartic polynomials
Sample application task:
Curves in the complex plane
Sample application task:
Graphs of rational functions with cubic polynomial numerators and denominators
Sample application task:
Farey sequences
Sample application task:
Graphs of rational functions
Area of study: Functions, relations and graphs Functions, relations and graphs – 2 weeks
This topic follows on from the topic: Functions, relations and graphs in Specialist Mathematics Units 1 and 2. This topic could be taught concurrently with the differentiation topics in Calculus.
Partial fractions are introduced here for use in integration.
Graphs of
rational functions of low degree, including reciprocal functions of polynomial functions.
The absolute value function was introduced in Specialist Mathematics, Units 1 and 2.
Determining points of inflection and its inclusion in sketching graphs.
Possible learning activity:
Quadratic reciprocal and rational functions
Area of study: Calculus Differential calculus (and integral calculus) – 2 weeks
This topic can be taught concurrently with Functions, relations and graphs.
Inverse circular functions were introduced in Specialist Mathematics Units 1 and 2
The chain rule –
related rates, derivatives of inverse circular functions and implicit differentiation.
Implicit differentiation and its applications.
The second derivative and its application to
analysing graphs of functions, points of inflection, concavity quotient functions and their graphs.
Area of study: Calculus (Differential calculus) and Integral calculus – 3 weeks
The relationship between differentiation and anti-differentiation as inverse processes, and graphs of the family of anti-derivatives of a function.
Compound and double angle formulas, identities,
partial fractions of rational functions.
Anti-derivatives involving
, derivatives of inverse circular functions, identities, substitution and partial fractions. Trigonometric identities, the reciprocal trigonometric functions and inverse trigonometric functions were introduced in Specialist Mathematics Units 1 and 2. The absolute value function will be required in integration and this was also introduced in Specialist Mathematics Units 1 and 2.
Integration by parts and reduction formula. For example:
- Integrate
x sin (x) using integration by parts
- Let
. Show that
and work iteratively with this formula to determine definite integrals such as
.
Anti-differentiation and numerical and symbolic integration using technology. Reimann sums may be used to approximate the integrals of this section.
Application of integration to
arc lengths for parametrically defined curves, areas,
volumes of revolution about either coordinate axis and areas of a surface of revolution about either coordinate axis.
For surface area parametrically defined curves, and integration with respect to either variable when the function is one-to-one.
Possible learning activity:
Arc lengths of sections of curves
Sample learning activity: Areas of a surface of revolution.
Area of study: Calculus Differential equations and kinematics – 3 weeks
Formulation of differential equations, representation and analysis using
slope fields, verification of differential equations.
Analytic techniques for solving differential equations, numerical solutions using
Euler’s method, use of technology to solve differential equations. Using pseudocode to describe the algorithm for Euler’s method.
Use of separation of variables to solve differential equations.
Kinematics, application of calculus to the analysis of
rectilinear motion different forms of acceleration, velocity-time graphs.
Modelling or problem-solving task 1–2 weeks
Calculus context
Sample modelling or problem-solving task: Geese
Sample modelling or problem-solving task: Double Ferris wheel
Area of study: Space and measurement Vector calculus – 2 weeks
Position, velocity and acceleration vectors in two and three dimensions as functions of time.
Differentiation and integration of vector functions.
Cartesian and parametric forms of paths in the plane, including circles, ellipses and hyperbolas.
The study of circles, ellipses and hyperbolas was undertaken in Specialist Mathematics Units 1 and 2.
Area of study: Data analysis, probability and statistics Data analysis, probability and statistics – 2 weeks
Linear combinations of random variables, simulation of repeated sampling, sample means and
approximate confidence intervals for means.
Hypothesis testing for the mean (one and two tailed),
p values for hypothesis testing related to the mean, errors in hypothesis testing.
Modelling or problem-solving task 1–2 weeks
Probability and statistics context.
Sample modelling or problem-solving task: Hypothesis testing from a known population
Sample modelling or problem-solving task: Sums of Bernoulli random variables