Computational thinking & Python

Learning goals

• Decompose a problem into manageable tasks and define inputs and outputs.
• Use selection, iteration, strings, functions and validation.
• Trace code; distinguish logic errors from runtime errors; debug systematically.

In practice

1. Write a precise equipment-loan decision process before coding.
2. Convert an algorithm between flowchart, trace table and Python.
3. Test a record-processing function with valid and invalid inputs.

Show understanding

An independent program, a test table and an explanation of a debugging decision.

Predict first. Implement second. Test deliberately. Explain what the evidence shows.