Week 1-3
Number (Decimals) | Algebra | Geometry | Measurement

Identify, read, write, represent, compare and order decimals (to three places).

Round decimals to the nearest tenth, hundredth, or whole number.

Add and subtract decimals to three decimal places, with an emphasis on estimating before calculating (Calculate the perimeter of composite shapes composed of triangles and rectangles).

Multiply decimals by whole numbers (Calculate the area of composite shapes composed of triangles and rectangles).

Create, test, and revise algorithms involving a sequence of steps and decisions

Week 4
Geometry (Position and Orientation) | Number | Measurement

Interpret and communicate the location of positions and pathways using coordinates, angle measures, and the 8 main and halfway compass points (e.g., NE, which is 45° E from N).

Find speed, given distance and time.
Week 5-7
Number (Fractions) | Algebra

Identify, read, write, and represent fractions, decimals (to three places), and percentages.

Compare, order, and convert between fractions, decimals (to three places), and percentages.

Find equivalent fractions, simplify fractions, and convert between improper fractions and mixed numbers.

Multiply fractions by whole numbers Add and subtract fractions with different denominators of up to a tenth, using equivalent fractions (e.g., 3/4 + 1/3)

Create, test, and revise algorithms involving a sequence of steps and decisions.

Week 8-9
Statistics | Number

Use the PPDAC cycle to conduct investigations using multivariate datasets, summary, comparison, time-series, and relationship situations for paired categorical data.

Pose questions about a local community matter, make conjectures, plan for data collection (how and who), build awareness of ethical practices in data collection.

Collect primary data or gather information about variables in sourced data, create a simple informal data dictionary, and check for errors.

Create data visualisations for the investigation Make statements about the data, including its features and context, in descriptions of distributions.

Using evidence to communicate findings, comparing findings to initial conjecture.

Evaluate the findings of others to check if their claims or statements are supported by the data visualisations they use.