Course Information Evening for 2025 is Wednesday 6th August. Subject information is current for 2026
Data Analysis, Probability and Statistics
This includes investigating univariate data distributions; investigating associations between two variables; investigating and modelling linear associations between two variable including data transformations applied to non-linear associations; investigating and modelling time series data.
Recursion and Financial Modelling
This includes using first order recurrence relations, time value of money and technology to model and analyse depreciation, compound interest, reducing balance loans, annuities and perpetuities.
Matrices
Students learn definition of matrices, different types of matrices, matrix operations, transition matrices and the use of first-order linear matrix recurrence relations to model a range of situations and solve related problems.
Networks and Decision Mathematics
Students learn definition and representation of different kinds of undirected and directed graphs, eulerian trails, eulerian circuits, bridges, hamiltonian paths and cycles, and the use of networks to model and solve problems involving travel, connection, flow, matching, allocation and scheduling.
Outcome 1:
Students will be able to define and apply concepts to routine problems correctly.
Outcome 2:
Students will be able to apply concepts and techniques to non-routine problems that investigative, modelling or problem-solving techniques. Students will also be able to analyse and discuss their findings.
Outcome 3:
Students will be able to apply computational thinking and use appropriate technology effectively to solve problems.
Unit 3 School-assessed Coursework - 24%
Unit 4 School-assessed Coursework - 16%
Units 3 and 4 Examination 1 - 30%
Units 3 and 4 Examination 2 - 30%
Students need a “TI nspire” CAS Graphics calculator.