An introduction to the use of numerical linear algebra, optimisation, numerical integration and simulation in statistical computation, followed by their applications in statistical methods, including ...

Includes instruction in calculus, linear algebra, numerical analysis and partial differential equations, discrete mathematics, probability theory, statistics, computing, and other related topics.

Topics of statistical computing include methods of describing data, numerical summary and graphical presentation of data, computing of probability, density, and quantiles based on given distributions ...

Our work in numerical and scientific computing involves the development, analysis and execution of computational algorithms to solve mathematical problems from science and engineering. Our faculty are ...