Programmes and Modules

MRes High Performance Embedded and Distributed Systems

Module CodeModule TypePredicted
Teaching
Mode
*Key below
TermModule Title
Select for details
Lecturer(s)
ELEC96003
(EE3-01)
OptionalAutumn Analogue Integrated Circuits and Systems  Prof Chris Toumazou; Dr Pantelis Georgiou 
ELEC96009
(EE3-09)
OptionalRSAutumn Control Engineering  Prof Alessandro Astolfi 
ELEC96023
(EE3-10)
OptionalRSAutumn Mathematics for Signals and Systems  Prof Pier-Luigi Dragotti 
ELEC96006
(EE3-21)
OptionalRSAutumn Biomedical Electronics  Dr Pantelis Georgiou; Dr Timothy Constandinou 
ELEC96031
(EE3-23)
OptionalRAAutumn Machine Learning  Dr Krystian Mikolajczyk; Dr Deniz Gunduz 
ELEC97004
(EE4-01)
OptionalMMAutumn Advanced Communication Theory  Prof Thanassis Manikas 
ELEC97021
(EE4-08)
OptionalMMAutumn Digital Image Processing  Dr Tania Stathaki 
ELEC97072
(EE4-10)
OptionalRAAutumn Probability and Stochastic Processes  Dr Cong Ling 
ELEC97037
(EE4-20)
OptionalRSAutumn Full-Custom Integrated Circuit Design  Dr Timothy Constandinou 
ELEC97081
(EE4-23)
OptionalRSAutumn Stability and Control of Non-linear Systems  Dr David Angeli 
ELEC97085
(EE4-27)
OptionalRSAutumn Systems Identification  Prof Thomas Parisini 
ELEC97062
(EE4-29)
OptionalRSAutumn Optimisation  Prof Alessandro Astolfi 
ELEC97058
(EE4-47)
OptionalRAAutumn Modelling and Control of Multi-body Mechanical Systems  Dr Simos Evangelou 
ELEC97088
(EE4-66)
OptionalMMAutumn Topics in Large Dimensional Data Processing  Dr Wei Dai 
ELEC97105
(EE4-70)
OptionalRAAutumn Self-Organising Multi-Agent Systems  Prof Jeremy Pitt 
ELEC97106
(EE4-71)
OptionalAutumn Hardware and Software Verification  Dr John Wickerson; Prof Peter Harrod 
ELEC96020
(EE3-02)
OptionalSpring Instrumentation  Dr Christos Papavassiliou 
ELEC96019
(EE3-22)
OptionalSpring High Level Programming  Dr Tom Clarke 
ELEC96018
(EE3-24)
OptionalSpring Embedded Systems  Dr Edward Stott 
ELEC96033
(EE3-25)
OptionalSpring Deep Learning  Dr Krystian Mikolajczyk; Dr Carlo Ciliberto 
ELEC96034
(EE3-27)
OptionalSpring Principles of Classical and Modern Radar Systems  Prof Thanassis Manikas 
ELEC97090
(EE4-05)
OptionalSpring Traffic Theory & Queueing Systems  Dr Javier Barria 
ELEC97023
(EE4-12)
OptionalSpring Digital Signal Processing and Digital Filters  Dr Ayush Bhandari 
ELEC97002
(EE4-13)
OptionalSpring Adaptive Signal Processing and Machine Intelligence  Prof Danilo Mandic 
ELEC97079
(EE4-14)
OptionalSpring Speech Processing  Prof Patrick Naylor 
ELEC97010
(EE4-16)
OptionalSpring Analogue Signal Processing  Dr Pantelis Georgiou 
ELEC97041
(EE4-17)
OptionalSpring High Performance Analogue Electronics  Prof Esther Rodriguez-Villegas 
ELEC97074
(EE4-18)
OptionalSpring Radio Frequency Electronics  Prof Stepan Lucyszyn 
ELEC97027
(EE4-24)
OptionalSpring Discrete-time Systems and Computer Control  Dr Giordano Scarciotti 
ELEC97019
(EE4-25)
OptionalSpring Design of Linear Multivariable Control Systems  Dr Imad Jaimoukha 
ELEC97048
(EE4-40)
OptionalSpring Information Theory  Dr Cong Ling 
ELEC97092
(EE4-45)
OptionalSpring Wavelets, Representation Learning and their Applications  Prof Pier-Luigi Dragotti 
ELEC97070
(EE4-54)
OptionalSpring Predictive Control  Dr Eric Kerrigan 
ELEC97025
(EE4-57)
OptionalSpring Discrete-event Systems  Dr David Angeli 
ELEC97094
(EE4-65)
OptionalSpring Wireless Communications  Dr Bruno Clerckx 
ELEC97100
(EE4-69)
OptionalSpring Signal Processing and Machine Learning for Finance  Prof Danilo Mandic 
ELEC97XXX
(EE4-72)
OptionalRASpring Pattern Recognition and Computer Vision  Dr Krystian Mikolajczyk 
ELEC97007
(EE9-AC16)
OptionalSpring Advanced Digital System Design  Dr Christos Bouganis 


*Predicted Teaching Modes
MM Multi-mode: Timetabled, live classes. Book and attend in person, or stream online.
RS Remote synchronous: Timetabled classes streamed live, online-only.
RA Remote asynchronous: Pre-recorded for watching online in your own time.


Labs: To attend practical lab classes in person you will need to book. You can also choose to do your lab activity remotely.


Find out more about the teaching modes: here


Teaching modes: key features
Multi_Mode (MM)Remote Synchronous (RS)Remote Asynchronous (RA)
Timetabled      Y      Y      N
In class      Y      N      N
Booking required      Y      N      N
Given live      Y      Y      N
Recorded      Y      Y      Y
Streamed via Teams      Y      Y      N
Face mask required      Y      N      N
Supported by remote synchronous problems classes      Y      Y      Y





























Programmes

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