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Victoria (General Mathematics) develops applied mathematical skills across multiple strands. In Data Analysis, students study distributions, associations, linear models, and time series. Recursion and Financial Modelling covers depreciation, compound interest, loans, annuities, and perpetuities. Matrices focus on applications and transitions, while Networks and Decision Mathematics explores shortest paths, flows, trees, matching, and critical path analysis. Geometry and Measurement includes trigonometry and spherical geometry, while Graphs and Relations emphasise constructing and interpreting models.

Data Analysis

  • Investigating data distributions
  • Investigating associations between two variables
  • Investigating and modelling linear associations
  • Investigating and modelling time series data

Recursion and Financial Modelling

  • Depreciation of assets
  • Compound interest investments and loans
  • Reducing balance loans
  • Annuities and perpetuities
  • Compound interest investment with periodic and equal additions to the principal

Matrices

  • Matrices and their applications
  • Transition matrices

Network and Decision Mathematics

  • Graphs and networks
  • Exploring and travelling problems
  • Trees and minimum connector problems
  • Flow problems
  • Shortest path problems
  • Matching problems
  • The scheduling problem and critical path analysis

Geometry and Measurement

  • Measurement and trigonometry
  • Spherical geometry

Graphs and Relations

  • Construction and interpretation of graphs
  • Linear programming