IT & Computing

Why Computing? click here

Hour of code...learn to code, it makes you think and it's fun, do these on your desktop or tablet.

Modern realisation is that Computation is not just about what computers do but something that nature has been doing for a very long time! For example coded within DNA in an alphabet of inheritance are the instuctions for the creation of life forms as well as the data that represents the forms of life to be produced.Computer scientists are interested in computational procedures for solving problems. These procedures called algorithms are at the core.

IT & Computing is a relatively new subject but one that is increasingly important as societies use and reliance of it grows. The digital revolution has begun and pupils must be equipped with the necessary skills to succeed and excel in workplaces that may not even exist yet.  This is taught in Year 1 and 2 and includes computing skills such as programming, use of standard applications and digital world education...

  Bill Gates

"I think it's fair to say that personal computers have become the most empowering tool we've ever created. They're tools of communication, they're tools of creativity, and they can be shaped by their user."

 Edsger Dijkstra
Computer science is no more about computers than astronomy is about telescopes."

Some interesting reading - click here

Computational thinking

is a mind set for solving problems. Computational thinking means:

• describing a problem succinctly

• decomposition – breaking down problems to make them easier to solve

• deciding whether a particular problem even has a solution

• thinking algorithmically

• deciding what parts of a problem are best solved by a machine and what parts by a human

• thinking recursively

• thinking in the abstract

• reusing solutions

• making generalisations

• deciding when a solution is ‘good enough’

• naming individual parts of a problem

• accepting and dealing with uncertainty

• scaling approaches to different situations

• performance modelling

• using machines to help us think like humans – not thinking like machines.