Numerical methods and machine learning

What it covers

This unit conveys the fundamentals of numerical analysis techniques and their application to data analysis and the solution of engineering problems. You will be introduced to programming structures, use of AI in programing, software documentation, version control and data management, profiling and hardware optimisation, conventions of scientific computing, numerical errors and stability, techniques for interpolation, integration, the solution of ordinary and partial differential equations, and principles of machine learning.

Assessment

Hurdle tasks must be passed regardless of your overall mark.

When and where