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Olympiads & Extracurriculars2 min read
PhysicsPearson IAL

Physics Projects and Competitions for International-School Students in Singapore

Practical physics project ideas, data analysis and competition preparation for international-school students.

A physics project can begin with an ordinary video

A video of a toy car moving along a track can become a rigorous exercise in calibration, measurement and modelling. Estimate position frame by frame, calculate average velocities and compare them with a prediction. Then discuss how camera angle, frame rate and scale placement affect accuracy. A smooth graph is not proof of a reliable experiment. Explaining limitations is part of doing physics carefully, not an admission of failure.

Three accessible project formats

Choose projects that are safe and permitted by your school. Do not experiment with mains electricity, high voltage, lasers or hazardous equipment without qualified supervision.

  • Video analysis: use ordinary footage of a moving object, with permission, to estimate displacement and velocity; discuss frame rate, scale and measurement error.
  • Astronomy data analysis: use publicly available observations from a recognised science agency and explain what can and cannot be inferred.
  • Energy modelling: compare a simple theoretical energy estimate with a measured or published value, accounting for efficiency and assumptions.

Competitions and school entry

The British Physics Olympiad offers problem-solving opportunities, but overseas participation depends on the specific competition and school registration arrangements. Ask the school's physics department to verify current eligibility and the appropriate paper directly with the organiser.

If the school cannot enter, official past problems can still be used as learning resources without claiming formal participation.

Presenting your work well

  • Describe your question, model and assumptions.
  • Show calculations with units and uncertainty where relevant.
  • Separate observed evidence from theoretical predictions.
  • Explain unexpected results and how the method could improve.

References and further reading

Horizon Hub

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