Describe A Systematic Problem-Solving Process

Explain How Computing Power Enables Solutions

Break Problems Into Smaller Units

Apply Logic To Solve Problems

Evaluate Alternative Computational Solutions

Explain How Algorithms Operate

Develop Algorithms For Chosen Solutions

Weigh Costs And Benefits Of Automation

Use Modelling And Simulation

Discuss Use And Limits Of Heuristics

Discuss Computing's Relationship With Society

Compare Positive And Negative Impacts On Culture

Identify Key Computing Developments And Trends

Explain Contexts For Machine Learning And AI

Assess User Experience And Universal Design

Compare Two User Interfaces' Design Decisions

Describe Role Of Adaptive Technology

Recognise Diverse Computing Careers

Identify Staged And Iterative Design Features

Assign Roles Within A Team Task

Identify Different Stakeholder Perspectives

Read, Write, Test And Modify Programs

Reflect On The Development Process

Use Abstraction To Describe Systems

Identify Patterns And Common Features

Implement Modular Hardware Or Software Design

Illustrate Examples Of Abstract Models

Use Pseudocode To Outline Algorithms

Construct Algorithms To Solve Problems

Implement Algorithms In A Programming Language

Apply Search And Sort Algorithms

Assemble Algorithms Using Functions And Modules

Explain Measures Of Algorithmic Efficiency

Describe Computer Components And Functions

Describe Logic Gates And Combinations

Explain Binary And Number Conversion

Describe Digital Versus Analogue Input

Explain The Web, Internet And Protocols

Use Common Programming Data Types

Use ASCII And Unicode Encoding

Collect, Store And Sort Data

Test Solutions For Short And Long-Term Outcomes

Identify And Fix Code Errors

Reflect On Code Limitations And Improvements

Explain Stages Of Software Testing

Gather User Needs Before Designing

Build A Basic Relational Database

Develop A Database-Driven Interactive Website

Calculate Frequency, Mean, Median And Mode

Prepare Raw Data For Analysis