reSolve: Algorithmic thinking – simulation
This unit shows why and how simulation complements more traditional mathematical methods of investigation and investigates the comparative advantages and disadvantages of simulation-based approaches. Students work hands-on with interactive simulations and learn the role of virtual experiments, gaining exposure to computational methods. They learn the basics of some fundamental simulation methods, including Monte-Carlo simulations, agent-based simulation, individual-based simulation and population-based simulation.
- Resource details
- Year level
- Year 10
- Purpose
- Teaching resource
- Strand
- Statistics Probability
- Topic
- Data representation and interpretation Chance and probability
- Audience
- Teachers
- Format
- Downloadable resource
- Australian Curriculum code
- AC9M10P02 AC9M10P01 AC9M10ST03 AC9M10ST04
- Numeracy progression
- Understanding chance (P6)
- Publisher
- reSolve Maths by Inquiry
- Copyright
- © Australian Government Department of Education, Skills and Employment 2021. Creative Commons BY-NC-SA 4.0.
- Keywords
- simulations chance experiment (trial) data analysis data displays
- Other terms
- Monte-Carlo simulation
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