electiveHQ

The objective of this module is to familiarise engineering students with fundamental theoretical concepts in machine learning, including the mathematical concepts underlying a range of machine learning algorithms. Students will learn how to select an appropriate algorithm, understand the underlying algorithm, through engineering-based examples. Key techniques in supervised machine learning will be covered, including classification using nearest neighbours, hyperplane and kernel algorithms, ensemble methods and neural networks. A particular emphasis will be placed on the application of these techniques to engineering. EEEN40720 requires strong mathematical ability, as some of the algorithms require some understanding of linear algebra and statistical concepts.