Data Representation Years 9–10
At this level, students represent documents online as content (text), structure (markup) and presentation (styling) and explain why such representations are important. They investigate simple data compression techniques.
Suggested activities

Seeing the big picture
This practical lesson sequence examines lossy and lossless techniques of data compression. Students perform comparisons of various compressions on a variety of images.

Data compression
This lesson employs data representation, abstraction, pattern recognition, data analysis, and algorithm design.

A matter of style
In this lesson sequence, students using the Zen Garden website reflect on criteria for effective design.