University subjects
Real Analysis - Single Variable and multivariable differential and integral analysis.
Linear Algebra - Complex numbers, vector spaces, linear mapping and matrix decompositions.
Applied Mechanics - Kinematics, statics, dynamics of rigid bodies and systems and mechanics of deformable bodies.
Differential Equations - Ordinary and partial differential equations.
Probability Theory, Statistics and R - Random variable, random processes, discrete and continuous distributions, descriptive statistics and inductive statistics: estimates, tests, confidence intervals, prediction intervals, correlation, simple and multiple regression.
Numerical Methods - Nonlinear equations; systems of linear equations; approximation of functions and data; differentiation and integration; differential equations; and optimisation.
Engineering - Complex analysis, digital systems, discrete mathematics, circuit theory and applications, signals and systems, numerical analysis (Matlab), introduction to programming (Java, C++).
