IA ideas · Mathematics: applications and interpretation SL

Maths AI SL IA ideas (170)

Applications and interpretation SL explorations are at their best with real data: modelling it with technology, testing a hypothesis about it, or making a decision with it. Criterion E rewards choosing the right model or test for the question, using it correctly and interpreting the result in context.

Every idea below fits AI SL. Most use data you can collect yourself or download from a source we have checked, and the maths is squarely in the SL course — regression, statistical tests, Voronoi diagrams, financial mathematics and simple calculus.

AI SL explorations are usually built on data: collecting or choosing a dataset, fitting and comparing models with technology, testing a claim with a χ² test, a t-test or a correlation coefficient, or using Voronoi diagrams, financial mathematics and trigonometry in a real place. Technology does the arithmetic (Desmos, GeoGebra, a spreadsheet or your GDC); the marks come from choosing the right method, saying what the technology did and interpreting each result in context.

Next step: shortlist ideas with the free IA topic explorer, which filters starting points by course, interest and how easy the data is to get. For feedback on your own draft, the IA package (€39 once) gives you 5 AI feedback credits and every annotated exemplar in full.

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AI SL mathematics that works well in an IA

Revise the techniques: Exponential modelling questions · Bivariate data questions · Statistical testing questions · Voronoi diagrams questions · Financial mathematics questions. How AI SL differs from the other courses: AA vs AI, SL vs HL.

Less common types of IA that suit AI SL: Survey-based investigations · Simulation & Monte Carlo methods · Optimisation & linear programming · Trigonometry, navigation & surveying · Voting, fairness & game theory · Kinematics & physics-style modelling.

Frequently asked questions

What is a good Maths AI SL IA topic?

A real question answered with real data: modelling a trend, testing whether two things are related, or using a Voronoi diagram or financial calculation to make a decision. Choose something where you can get enough good data.

Are Voronoi diagram IAs good for AI SL?

Yes, when there is a real decision to make (where to put a new facility, who is poorly served) and you calculate some of the diagram by hand before using technology.

Is a statistics IA enough for AI SL Criterion E?

It can reach the top if the test is appropriate, its conditions are checked, one calculation is shown and the result is interpreted in context. A chi-squared test with no discussion of expected frequencies or sampling rarely does.

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