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 and population-based simulation.
Additional details |
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Year level(s) | Year 10 |
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Audience | Teacher |
Purpose | Teaching resource |
Format | Downloadable resources |
Teaching strategies and pedagogical approaches | Mathematics investigation |
Keywords | data representation, data analysis, modelling, simulations, chance experiments, Monte-Carlo simulation |
Curriculum alignment |
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Curriculum connections | Technologies, Numeracy, STEM/STEAM |
Strand and focus | Statistics, Probability, Build understanding, Apply understanding |
Topics | Data representation and interpretation, Chance and probability |
AC: Mathematics content descriptions |
ACMSP246
Describe the results of two- and three-step chance experiments, both with and without replacements, assign probabilities to outcomes and determine probabilities of events. Investigate the concept of independence
ACMSP247
Use the language of ‘if ....then, ‘given’, ‘of’, ‘knowing that’ to investigate conditional statements and identify common mistakes in interpreting such language
ACMSP278
Calculate and interpret the mean and standard deviation of data and use these to compare data sets
ACMSP251
Use scatter plots to investigate and comment on relationships between two numerical variables
ACMSP252
Investigate and describe bivariate numerical data where the independent variable is time
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National numeracy learning progression |
Understanding chance
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UnC3, UnC5
Interpreting and representing data - IRD6 |
Copyright details |
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Organisation | ReSolve: Maths by Inquiry |
Copyright | © Australian Government Department of Education, Skills and Employment 2021. Creative Commons BY-NC-SA 4.0. |
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