GCSE Computer Science 2017

  • With the syllabus under way, audit your delivery:
    • assess your successes
    • prepare for the challenges ahead
  • Link theory and NEA requirements in:
    • coding
    • computational logic
    • Python
    • computational & algorithmic thinking
  • Ideas and resources to take back to school:
    • teaching strategy
    • exam and non-exam assessment

Information on speakers coming soon.

Techniques for computational and algorithmic thinking

  • Thinking abstractly – removing unnecessary detail

  • Thinking ahead – identifying preconditions and inputs and outputs

  • Thinking procedurally – identifying components of problems and solutions

  • Thinking logically – predicting and analysing problems

  • Thinking concurrently – spotting and using similarities


Programming toolkit for Python

  • the use of variables, constants, operators, inputs, outputs and assignments

  • the three basic programming constructs used to control the flow of a program

  • how to use sub-programs to produce structured code

  • the use of SQL to search for data

  • the use of arrays (or equivalent) when solving problems


Computational logic

  • why data is represented in computer systems in binary form

  • combining Boolean operators using AND, OR and NOT to two levels

  • applying logical operators in appropriate truth tables to solve problems

  • applying computing-related mathematics: +,-,/,*,^,MOD,DIV


Delivery techniques for successful & robust code-testing

  • defensive design considerations

  • maintainability

  • the purpose of testing

  • types of testing

  • how to identify syntax and logic errors

  • selecting and using suitable test data