Module Catalogue

MSc Control Systems

Please read MSc Control Core Options selection procedure here.

Module CodeModule TypePredicted
Teaching
Mode
*Key below
TermModule Title
Select for details
Lecturer(s)
ELEC97018
(EE9-CPRJ)
Compulsory  C1 Project   
ELEC97012
(EE9-CLAB)
Compulsory  C1 LAB  Dr David Angeli 
ELEC97017
(EE9-CS1-1)
OptionalRSAutumn Control Engineering  Prof Alessandro Astolfi 
ELEC97082
(EE9-CS2-1)
OptionalRSAutumn Stability and Control of Non-linear Systems  Dr David Angeli 
ELEC97054
(EE9-CS3-1)
OptionalRSAutumn Mathematics for Signals and Systems  Prof Pier-Luigi Dragotti 
ELEC97063
(EE9-CS3-2)
OptionalRSAutumn Optimisation  Prof Alessandro Astolfi 
ELEC97073
(EE9-CS5-1)
OptionalRAAutumn Probability and Stochastic Processes  Dr Cong Ling 
ELEC97086
(EE9-CS5-2)
OptionalRSAutumn Systems Identification and Learning  Prof Thomas Parisini 
ELEC97059
(EE9-CS6-1)
OptionalRAAutumn Modelling and Control of Multi-body Mechanical Systems  Dr Simos Evangelou 
ELEC97014
(EE9-CS7-23)
OptionalMMAutumn Coding Theory  Dr Wei Dai 
ELEC97098
(EE9-CS1-2)
OptionalSpring Design of Linear Multivariable Control Systems  Dr Imad Jaimoukha 
ELEC97028
(EE9-CS1-3)
OptionalSpring Digital Control Systems  Dr Giordano Scarciotti 
ELEC97026
(EE9-CS2-2)
OptionalSpring Discrete-event Systems  Dr David Angeli 
ELEC97071
(EE9-CS4-1)
OptionalSpring Predictive Control  Dr Eric Kerrigan 
ELEC97067
(EE9-CS6-2)
OptionalSpring Power System Dynamics, Stability and Control  Prof Bikash Pal 
ELEC97087
(EE9-CS7-1)
OptionalSpring Topics in Control Systems  Dr Imad Jaimoukha; Dr Giordano Scarciotti; Dr Fei Teng 
ELEC97093
(EE9-CS7-21)
OptionalSpring Wavelets, Representation Learning and their Applications  Prof Pier-Luigi Dragotti 
ELEC97091
(EE9-CS7-22)
OptionalSpring Traffic Theory & Queueing Systems  Dr Javier Barria 
ELEC97049
(EE9-CS7-26)
OptionalSpring Information Theory  Dr Cong Ling 
ELEC97076
(EE9-CS7-27)
OptionalSpring Real-time Digital Signal Processing  Dr Adria Junyent-Ferre 
ELEC97113
(EE9-CS7-29)
OptionalRASpring Computer Vision and Pattern Recognition  Dr Krystian Mikolajczyk; Dr Adam Spiers 


*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





























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