Aims
The aim of the course is to introduce the foundational theoretical concepts and methodological tools essential for the successful development, analysis, and application of advanced Machine Learning and Computational Statistical methods.
Objectives
Specific objectives, by the end of the course, are to:
- Introduce students to the required statistical and mathematical concepts that underpin all rigorously designed Machine Learning and Computational Statistical methods that can be used practically across all the contemporary engineering sciences.
- Introduce students to advanced computational statistical inference methods required to design Machine Learning solutions to a range of challenging large scale engineering problems where data and models are synthesised.
* This module is shared with 4th Year undergraduates from the Department of Engineering.