COM6509 Machine Learning and Adaptive Intelligence

Aims/Description: The module is about core technologies underpinning modern artificial intelligence. The module will introduce statistical machine learning and probabilistic modelling and their application to describing real-world phenomena. The module will give students a grounding in modern state-of-the-art algorithms that allow modern computer systems to learn from data. It has a considerable focus on the mathematical underpinnings of key ML approaches, requiring some knowledge of linear algebra, differentiation and probability.

Staff Contact: SMITH MICHAEL T

Teaching Methods: Lectures, Laboratory work, Independent Study

Assessment: Formal Exam, Course work

Notes: This unit forms part of an accredited degree programme

Information on the department responsible for this unit (Computer Science):

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Teaching timetable

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Teaching methods and assessment displayed on this page are indicative for 2025-26.