Module Catalogue for Academic Year 2023-24

MSc Applied Machine Learning

Please read the selection procedure here.

Module Code	Module Type	Term	Module Title Select for details	Lecturer(s)
ELEC70037	Optional	Autumn	Topics in Large Dimensional Data Processing	Dr Wei Dai; Dr Stefan Vlaski
ELEC70039	Optional	Autumn	Wavelets, Representation Learning and their Applications	Prof Pier-Luigi Dragotti
ELEC70048	Optional	Autumn	Probability and Stochastic Processes	Dr Cong Ling
ELEC70059	Compulsory	Autumn	Machine Learning	Dr Abdalrahman Abu Ebayyeh; Dr Deniz Gunduz
ELEC70068	Optional	Autumn	Machine Reasoning	Prof Jeremy Pitt
ELEC70071	Optional	Autumn	Self-Organising Multi-Agent Systems	Prof Jeremy Pitt
ELEC70078	Optional	Autumn	Digital Image Processing	Dr Tania Stathaki; Prof Patrick Naylor
ELEC70098	Optional	Autumn	Optimisation	Prof Alessandro Astolfi
ELEC70110	Optional	Autumn	Neuroscience for machine learners	Dr Dan Goodman
ELEC70001	Optional	Spring	Adaptive Signal Processing and Machine Intelligence	Prof Danilo Mandic
ELEC70061	Compulsory	Spring	Deep Learning	Prof Krystian Mikolajczyk; Dr Seyed Moosavi Dezfooli; Dr Abdalrahman Abu Ebayyeh
ELEC70073	Optional	Spring	Computer Vision and Pattern Recognition	Prof Krystian Mikolajczyk; Dr Adam Spiers
ELEC70080	Optional	Spring	Speech Processing	Prof Patrick Naylor
ELEC70082	Optional	Spring	Distributed Optimisation and Learning	Dr Stefan Vlaski
ELEC70086	Optional	Spring	Topics in Control Systems	Dr Imad Jaimoukha; Dr Giordano Scarciotti; Dr Fei Teng
ELEC70109	Optional	Spring	Advanced deep learning systems	Dr Aaron Zhao
ELEC70060	Compulsory		Laboratory in Applied Machine Learning	Dr Abdalrahman Abu Ebayyeh; Dr Adam Spiers; Prof Krystian Mikolajczyk
ELEC70063	Compulsory		Research Project: MSc Applied Machine Learning	Prof Krystian Mikolajczyk

Programmes

PG Streams