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🎧 A-Level Computer Science revision for OCR & AQA students.
⭐ If this podcast helps your revision, leaving a quick rating really helps other students find it.
The Analysis section is one of the most important parts of the OCR A-Level Computer Science NEA (H446). In this bonus episode, we explore how to produce a strong analysis that clearly defines the problem, engages with stakeholders, and sets up the rest of the project for success.
You’ll learn how to apply computational thinking techniques such as abstraction and decomposition to break down the problem, how to gather meaningful information through interviews or questionnaires, and how to research existing solutions to justify the design of your own system. We also explain how to define technical requirements for hardware and software and how to create clear, measurable success criteria that will later be used to evaluate your final product.
Topics covered include:
Structuring a high-quality NEA analysis section
Using abstraction and decomposition to define the problem
Conducting stakeholder interviews and questionnaires
Researching existing solutions
Defining hardware and software requirements
Writing clear and measurable success criteria
By Teacher of Computing - AHC🎧 A-Level Computer Science revision for OCR & AQA students.
⭐ If this podcast helps your revision, leaving a quick rating really helps other students find it.
The Analysis section is one of the most important parts of the OCR A-Level Computer Science NEA (H446). In this bonus episode, we explore how to produce a strong analysis that clearly defines the problem, engages with stakeholders, and sets up the rest of the project for success.
You’ll learn how to apply computational thinking techniques such as abstraction and decomposition to break down the problem, how to gather meaningful information through interviews or questionnaires, and how to research existing solutions to justify the design of your own system. We also explain how to define technical requirements for hardware and software and how to create clear, measurable success criteria that will later be used to evaluate your final product.
Topics covered include:
Structuring a high-quality NEA analysis section
Using abstraction and decomposition to define the problem
Conducting stakeholder interviews and questionnaires
Researching existing solutions
Defining hardware and software requirements
Writing clear and measurable success criteria