
The study of Computing at this high level will enable students to learn about the science behind computers, how software is made and the principles of computer programming, in a range of programming languages, along with universal programming principles, to enable students to make their own programs. Students will learn the mathematical fundamentals that enable computers to work and develop understandings on how networks operate and are built. The aims of these specifications are to encourage candidates to develop: an understanding of and ability to apply the fundamental principles and concepts of computer science including abstraction, decomposition, logic, algorithms and data representation the ability to analyse problems in computational terms through practical experience of solving such problems including writing programs to do so the capacity for thinking creatively, innovatively, analytically, logically and critically the capacity to see relationships between different aspects of computer science mathematical skills the ability to articulate the individual (moral), social (ethical), legal and cultural opportunities and risks of digital technology
Students who have studied Computer Science at GCSE are expected to have achieved a grade 7 or above in GCSE Computer Science and grade 7 or above in Mathematics. If you haven’t studied GCSE Computer Science you must provide evidence of a keen interest and an ability in computer programming and have achieved a grade 8 or above in GCSE Mathematics.
Unit 1: Computer Systems- (40% - 2 ½ hours written paper) The characteristics of contemporary processors, input, output and storage devices Software and software development Exchanging data Data types, data structures and algorithms Legal, moral, cultural and ethical issues Unit 2: Algorithms and programming- (40% - 2 ½ hours written paper) Elements of computational thinking Problem solving and programming Algorithms Unit 3: Programming Project- (20% - Coursework) Analysis of the problem Design of the solution Developing the solution Evaluation
About Education Provider
Region | East of England |
Local Authority | Hertfordshire |
Ofsted Rating | Outstanding |
Gender Type | Mixed |
Address | High Elms Lane, Garston, Watford, WD25 0UU |
The study of Computing at this high level will enable students to learn about the science behind computers, how software is made and the principles of computer programming, in a range of programming languages, along with universal programming principles, to enable students to make their own programs. Students will learn the mathematical fundamentals that enable computers to work and develop understandings on how networks operate and are built. The aims of these specifications are to encourage candidates to develop: an understanding of and ability to apply the fundamental principles and concepts of computer science including abstraction, decomposition, logic, algorithms and data representation the ability to analyse problems in computational terms through practical experience of solving such problems including writing programs to do so the capacity for thinking creatively, innovatively, analytically, logically and critically the capacity to see relationships between different aspects of computer science mathematical skills the ability to articulate the individual (moral), social (ethical), legal and cultural opportunities and risks of digital technology
Students who have studied Computer Science at GCSE are expected to have achieved a grade 7 or above in GCSE Computer Science and grade 7 or above in Mathematics. If you haven’t studied GCSE Computer Science you must provide evidence of a keen interest and an ability in computer programming and have achieved a grade 8 or above in GCSE Mathematics.
Unit 1: Computer Systems- (40% - 2 ½ hours written paper) The characteristics of contemporary processors, input, output and storage devices Software and software development Exchanging data Data types, data structures and algorithms Legal, moral, cultural and ethical issues Unit 2: Algorithms and programming- (40% - 2 ½ hours written paper) Elements of computational thinking Problem solving and programming Algorithms Unit 3: Programming Project- (20% - Coursework) Analysis of the problem Design of the solution Developing the solution Evaluation