Computer Science 0478 Practice Tools

2,000 algorithmically generated questions covering Cambridge-aligned syllabus topics where students struggle most

Interactive Practice Instant Feedback Step-by-Step Working

Cambridge IGCSE Computer Science (0478) is assessed across two written papers. Paper 1 (Theory, 1 hour 45 minutes) covers data representation, hardware, software, the internet, emerging technologies, and security. Paper 2 (Problem-solving and Programming, 1 hour 45 minutes) covers algorithm design, pseudocode and Python, Boolean logic, and databases. Both papers reward students who can apply concepts mechanically under time pressure - which is exactly what the interactive tools on this page build.

All 10 Syllabus Topics

The IGCSE Computer Science 0478 syllabus is organised into ten topics. The interactive tools above target three high-difficulty pockets where students lose the most marks. The remaining topics are best practiced through revision notes, flashcards, and timed past papers.

1. Data representation Practice available
2. Data transmission Use past papers
3. Hardware Use past papers
4. Software Use past papers
5. The Internet and its uses Use past papers
6. Automated and emerging technologies Use past papers
7. Algorithm design and problem-solving Partial: DIV/MOD
8. Programming Partial: DIV/MOD
9. Databases Use past papers
10. Boolean logic Practice available

Looking for Past Papers?

Access complete Cambridge IGCSE Computer Science 0478 past papers with mark schemes and examiner reports. Perfect for full exam practice after mastering the fundamentals here.

Browse Past Papers →

How to use these practice tools

  1. Start with topic-specific practice. Pick the topic you find hardest - DIV/MOD operations and Boolean logic simplification are common stumbling blocks. Work through 10-20 questions in a single sitting until the working becomes automatic.
  2. Move to the mixed quiz. Once each topic feels solid in isolation, try the mixed-topic quiz. The harder skill in the real exam is recognising which method applies, not the method itself - the mixed quiz forces that recognition step under time pressure.
  3. Finish with full past papers. Algorithmic practice covers the mechanical skills; past papers add the wider syllabus context, the exam timing, and the question phrasing. Use both together for the best preparation.

Why Algorithmic Practice?

Unlimited Questions

Never run out of practice material - generate as many questions as you need

Instant Feedback

Get immediate results with step-by-step working for every question

No Memorization

Each question is unique, so you learn the concepts instead of memorizing answers

Target Weaknesses

Focus on Cambridge-aligned topics with lowest student success rates - maximize your improvement