Computer Science

a structured approach to solving problems

to focus on the important parts of a problem and ignore irrelevant details

breaking down a problem into smaller parts to make the task more manageable

to consider the solution to a problem as a series of logical, step-by-step instructions

Computational thinking

Comparing algorithms to computer programs

Representing algorithms using flowcharts

Representing algorithms using pseudocode

Tracing algorithms

Data structures

Algorithmic bias

Tackling a project using computational thinking

In this unit pupils will discover the computational thinking techniques; decomposition, abstraction and algorithmic thinking. They will reflect on differences between algorithms and computer programs and explore how algorithms can be represented. Pupils will explore the impact of algorithmic bias.

Algorithms

a systematic approach to solving problems

It helps you to break down a problem into smaller parts.

It helps you to solve the problem instantly.

What is the process of focusing on important details of a problem called?

What do you call the process of creating a series of logical steps to solve a problem?

Yes, it can be applied in various aspects of life.

Can computational thinking be applied without computers?

What is another name for step-by-step instructions?

What is important when planning a project?

When following a recipe to bake a cake, what are you doing?

When you plan a route to walk to a friend's house, what are you doing?

What are you doing when you follow a routine?

This lesson was made for home learning during the pandemic.

Computational thinking

Lesson outcome

This lesson was made for home learning during the pandemic.