Computer Science
GCSEOCR

GCSE Computer Science Revision

Prepare for the OCR GCSE Computer Science J277 exam with Revision Genie. Revise the full OCR J277 specification, practise exam-style questions for Paper 1 (Computer Systems) and Paper 2 (Algorithms & Programming), and get instant step-by-step help to boost confidence and marks.

Curriculum Modules

Frequently Asked Questions

The OCR J277 specification covers computer systems (architecture, memory, networks, cybersecurity), computational thinking, algorithms, programming fundamentals, Boolean logic, and producing robust programs. The course is split across two exam papers.

Computer Science requires logical thinking and problem-solving skills. Students who enjoy puzzles and breaking down problems typically find it manageable. The programming component requires practice, but our AI tutor helps by explaining concepts step-by-step and adapting to your level.

OCR accepts Python, Java, C#, or VB.Net for the programming questions. Most schools teach Python due to its readability. Our revision tool supports all languages but focuses on Python as the most common choice.

Two written exams, each 1 hour 30 minutes. Paper 1 (Computer Systems) is worth 50% and Paper 2 (Computational Thinking) is worth 50%. There's no coursework - it's 100% exam-based.

Most sixth forms require a grade 6 or above to study A-Level Computer Science. Some accept grade 5, but a stronger GCSE grade helps with the jump to A-Level content.

Our OCR GCSE Computer Science revision covers the complete J277 specification across both exam papers. Paper 1 (Computer Systems) includes systems architecture, memory, storage, wired and wireless networks, network security, systems software, and ethical, legal and environmental impacts of technology. Paper 2 (Computational Thinking, Algorithms and Programming) covers algorithms, programming techniques, producing robust programs, Boolean logic, and programming languages. Revision Genie adapts to your understanding - if you're struggling with binary arithmetic or two's complement, you'll get additional practice. Already confident with pseudocode? Move straight to more challenging algorithm questions. Every student follows their own path through the specification. Our AI tutor explains concepts the way a teacher would, breaking down topics like CPU fetch-execute cycles, sorting algorithms, and SQL queries into digestible steps. Practice with exam-style questions that match OCR's format, including multiple choice, short answer, and extended response questions worth up to 8 marks.
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