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For Teachers ›› Modular courses

If you missed any of the modular courses or are looking for any of the resources which were presented at a modular course you’ll find all the relevant material here. Modular courses are frequently repeated so if you are interested in attending a modular course you should contact your local education centre to check availability. You can find contact details fo all education centres here.


Modular course 1 – probability and statistics

Modular course 1 covered content relating to strand 1 – probability and statistics. The course was divided into 5 modules covering topics including an introduction to statistics, the data-handling cycle, graphical and numeric analysis of data, correlation, an introduction to probability, tree diagrams, independent and non-independent events, Bernoulli trials and the normal distribution. Read more.


Modular course 2 – geometry and trigonometry

Modular course 2 covered content relating to strand 2 – geometry and trigonometry. The course was divided into 4 modules covering topics including theorems, constructions, proof, applications of geometry to problem-solving, an introduction to trigonometry and transformations. Read more.


Modular course 3 – number and algebra

Modular course 3 covered content relating to strand 3 – Number and stand 4 – Algebra.. The course was divided into 4 modules covering topics including linear patters, arithmetic sequences, quadratic patterns, cubic patterns, exponential patterns, geometric sequences and applications of patterns to modeling real-life situations including finance. Read more.


Modular course 4 –  problem solving and financial maths

Modular course 4 focused on problem solving and financial maths. The course was divided into 4 modules covering topics including problem-solving techniques, properties of numbers and proof, application of geometric sequences and series to investments, loans and amortisation. Read more.


Modular course 5 – functions and inferential statistics

Modular course 5 focused on functions and inferential statistics. The course was divided into 4 modules covering topics including injective, surjective and bijective functions, transformations of functions, hypothesis testing, z-scores and p-values. Read more.