MATSEC AM Applied Mathematics study materials
MATSEC AM Applied Mathematics study resources

MATSEC AM Applied Mathematics study guide

MATSEC AM Applied Mathematics · Work through your exam, one topic at a time.

The MATSEC Advanced Level Applied Mathematics examination is a Maltese post-secondary qualification that assesses how well a candidate can apply mathematical reasoning to physical and statistical situations. It is aimed at students who have completed the Advanced Level course of study, typically at a sixth form or a licensed college, and who intend to use the subject for university admission in engineering, the physical sciences, economics, computer science or mathematics itself. The MATSEC AM Applied Mathematics study guide has 7 sections and about 2,084 words.

01

Kinematics and dynamics of a particle

This domain examines particle motion using the constant-acceleration equations, calculus for variable acceleration, projectile motion, and Newton's second law in one or two dimensions. Questions often require a force diagram plus a motion calculation.

289 words, about 1 min
02

Forces, equilibrium, moments and friction

This domain tests statics of particles and rigid bodies: resolving forces, equilibrium conditions, moments and couples, and limiting friction. It rewards clear diagrams and correct choice of pivot.

317 words, about 2 min
03

Work, energy, power, momentum and impulse

This domain covers scalar energy methods and vector momentum methods. Expect work-energy calculations, power, conservation of momentum, impulse and collision problems with restitution.

285 words, about 1 min
04

Probability and probability distributions

This domain tests probability rules, conditional probability and Bayes' theorem, random variables, and the binomial, Poisson and normal distributions. The emphasis is on choosing the correct model and interpreting parameters.

265 words, about 1 min
05

Descriptive statistics, correlation and regression

This domain tests summarising data, comparing distributions, measuring linear association and fitting a least-squares regression line. Interpretation matters as much as calculation.

300 words, about 2 min
06

Sampling, estimation and hypothesis testing

This domain tests how sample data support statements about a population: sampling methods, standard errors, confidence intervals and significance tests for means and proportions. A simple random sample gives every subset of size n an equal chance of selection; a sampling frame lists the population.

325 words, about 2 min
07

Mathematical modelling and problem solving in applied contexts

This domain tests the full modelling cycle: translating a real situation into mathematics, stating assumptions, solving, interpreting the result and checking whether the model is reasonable. Define variables clearly and give units.

303 words, about 2 min