IB Math · Applications & Interpretation · Standard Level
AI SL is all about applying maths to the real world, statistics, modelling, financial maths, and using the GDC effectively. I help AI SL students understand what they're doing (not just how to do it), so they can handle any question the exam throws at them.
AI SL students often feel more comfortable with real-world problems than abstract algebra, and that's exactly what this course plays to. The syllabus covers statistics, probability, modelling, financial maths, and basic calculus, always in applied contexts. The GDC is central, and knowing how to use it properly is a genuine skill we develop together.
The most common challenge I see with AI SL students isn't that they can't do the maths, it's that they don't know how to communicate the answer in context. A chi-squared test result needs a conclusion in words. A regression equation needs an interpretation of the gradient. A normal distribution answer needs units. These habits are learnable, and they're worth marks.
Many AI SL students arrive knowing how to use the GDC for basic arithmetic but struggling with statistical tests, regression, and the TVM solver. These tools are tested directly in Papers 2 and are worth significant marks. Part of our work together is building genuine GDC fluency, knowing what to enter, checking the output makes sense, and writing the setup alongside the result.
At the same time, I teach you when not to over-rely on the GDC. For Paper 1 (calculator-free), you need to be able to work with distributions conceptually, sketch models from their equations, and perform basic statistical reasoning by hand. We train both modes together.
"Despite being on the other side of the world, your dedication to teaching and belief in my abilities truly made a world of difference. I couldn't have done it without you!"
"You were very calm and patient with me. You never got tired of explaining things again and again until I understood. I will always remember your kindness and support."
Parent page
Full AI overview, HL and SL, GDC strategies, full syllabus.
Related
Higher Level, matrices, Voronoi, Bayes, Paper 3.
Free guide
Describe, Comment, Suggest, key terms for AI context questions.
Free guide
How to use the GDC correctly and still earn method marks.
First lesson is free. We'll find exactly where you're losing marks and build your confidence from there.