Programmes and Modules

Module Map

Modules for EIE 3rd Year BEng

Module CodeModule TypeRuns
Next
Year?
Predicted
Teaching
Mode
*Key below
TermModule Title
Select for details
Lecturer(s)
 Business School
BUSI60037
OptionalYesAutumn Accounting Online
BUSI60038
OptionalYesAutumn Business Economics
BUSI60045
OptionalYesAutumn Managing Innovation
BUSI60044
OptionalYesAutumn Managerial Economics Online
BUSI60042
OptionalYesAutumn Entrepreneurship Online
BUSI60046
OptionalYesSpring Project Management
BUSI60039
OptionalYesSpring Business Strategy
BUSI60040
OptionalYesSpring Corporate Finance Online
BUSI60022
OptionalYesSpring Leading Teams and Organisations
 EEE Module List
ELEC60017
CompulsoryYes  BEng Electrical Engineering ProjectDr Tom Clarke; Dr Tony Field 
ELEC60004
OptionalYesRSAutumn Artificial IntelligenceProf Jeremy Pitt 
ELEC60005
OptionalYesMMAutumn Biomedical ElectronicsDr Pantelis Georgiou; Dr Timothy Constandinou 
ELEC60006
OptionalYesMMAutumn Communication NetworksDr Javier Barria 
ELEC60008
OptionalYesRSAutumn Control EngineeringProf Alessandro Astolfi 
ELEC60010
OptionalYesRSAutumn Digital Signal ProcessingDr Tania Stathaki; Dr Wei Dai 
ELEC60019
OptionalYesRAAutumn Machine LearningProf Krystian Mikolajczyk; Dr Deniz Gunduz 
ELEC60021
OptionalYesRSAutumn Mathematics for Signals and SystemsProf Pier-Luigi Dragotti 
COMP60001
OptionalYesAutumn Advanced Computer ArchitectureDr Paul Kelly 
COMP60020
OptionalYesAutumn Simulation and ModellingMr Guiliano Casale; Dr Tony Field 
COMP60016
OptionalYesAutumn Operations ResearchDr Ruth Misener; Mr Dario Paccagnan 
COMP60023
OptionalYesAutumn Type Systems for Programming LanguagesDr Steffen Van Bakel 
COMP60012
OptionalYesAutumn Introduction to Machine LearningDr Antoine Cully; Dr Marek Rei; Dr Josiah Wang 
CIVE60010
OptionalYesAutumn The Science of Crowds: Movement, Behaviour and Design 
COMP60024
OptionalYesAutumn Academic Integrity in STEMM 
MATH60052
OptionalYesAutumn Mathematical Mysteries 
DESE60006
OptionalYesAutumn Designing Interventions for Behavioural Change 
ELEC60002
OptionalYesMMSpring Statistical Signal Processing and InferenceProf Danilo Mandic 
ELEC60009
OptionalYesRASpring Deep LearningProf Krystian Mikolajczyk 
ELEC60011
OptionalYesRASpring Digital Systems DesignDr Christos Bouganis 
ELEC60013
OptionalYesMMSpring Embedded SystemsDr Edward Stott 
ELEC60015
OptionalYesRASpring High Level ProgrammingDr Tom Clarke 
ELEC60025
OptionalYesRSSpring Real-time Digital Signal ProcessingDr Adria Junyent-Ferre 
ELEC60030
OptionalYesSpring Robotic ManipulationDr Adam Spiers 
ELEC60031
OptionalYesMMSpring Principles of Classical and Modern Radar SystemsProf Athanassios Manikas 
COMP60006
OptionalYesSpring Computer VisionDr Bai Bai 
COMP60005
OptionalYesSpring GraphicsDr Abhijeet Ghosh; Dr Bernhard Kainz 
COMP60008
OptionalYesSpring Custom ComputingDr Wayne Luk; Mr Timothy Todman 
COMP60015
OptionalYesSpring Network and Web SecurityDr Sergio Maffeis 
COMP60019
OptionalYesSpring RoboticsProf Andrew Davison 
COMP60017
OptionalYesSpring System Performance EngineeringDr Holger Pirk; Dr Lluis Vilanova 
COMP60009
OptionalYesSpring Distributed AlgorithmsDr Naranker Dulay; Dr Anandha Gopalan 
DESE61005
OptionalYesSpring Multidisciplinary Project 
OUTR60001
OptionalYesSpring How to Outreach: Multidisciplinary Science in schools and for schools 
CENG60016
OptionalYesSpring Technologies to Combat Climate Change 
CIVE60009
OptionalYesSpring Building Resilient Structures: The Science and Technology of Earthquake Engineering 
EART60031
OptionalYesSpring Space Mining 
EDUC60001
OptionalYesSpring The Science of Learning 
COMP60029
OptionalYesSpring Data Processing Systems 
CLCC50001
OptionalYesAutumn & Spring My World: Be SmartHumanities Dept. 
CLCC50002
OptionalYesAutumn & Spring Advances in Modern PsychologyHumanities Dept. 
CLCC50004
OptionalYesAutumn & Spring My World: Be HappyHumanities Dept. 
CLCC50005
OptionalYesAutumn & Spring Science CommunicationHumanities Dept. 
CLCC50010
OptionalYesAutumn & Spring Global Village: Innovation ChallengeHumanities Dept. 
CLCC50011
OptionalYesAutumn & Spring Business & Economic Ideas Humanities Dept. 
CLCC50015
OptionalYesAutumn & Spring Law & Professional Ethics for Science & TechnologyHumanities Dept. 
CLCC50019
OptionalYesAutumn & Spring PoliticsHumanities Dept. 
CLCC50020
OptionalYesAutumn & Spring Revolutions & the Making of the Modern WorldHumanities Dept. 
CLCC50022
OptionalYesAutumn & Spring My World: Be SustainableHumanities Dept. 
CLCC50023
OptionalYesAutumn & Spring Understanding our Digital WorldHumanities Dept. 
CLCC50025
OptionalYesAutumn & Spring Why be good? Problems in the Philosophy of MoralityHumanities Dept. 
CLCC50033
OptionalYesAutumn & Spring Dynamics of Imagery in Arts & DesignHumanities Dept. 
CLCC50035
OptionalYesAutumn & Spring Public EngagementHumanities Dept. 
CLCC50036
OptionalYesAutumn & Spring History of Consumer SocietyHumanities Dept. 
CLCC50038
OptionalYesAutumn & Spring Explaining & Understanding Human BehaviourHumanities Dept. 
PHYS60019
OptionalYesAutumn & Spring Origins: What we have learnt from science about the origin of the world, the universe and life 
CLCC60028
OptionalYesAutumn & Spring History of IntoxicationHumanities Dept. 
CLCC60029
OptionalYesAutumn & Spring Contemporary Themes in Global Politics: Populism, Identity & InequalitiesHumanities Dept. 
CLCC60030
OptionalYesAutumn & Spring Collective Intelligence: Sociology & Politics of KnowledgeHumanities Dept. 
CLCC60031
OptionalYesAutumn & Spring Understanding & Researching Society: Democracy, Race & ClassHumanities Dept. 
CLCC60032
OptionalYesAutumn & Spring Management and Decision-Making: Making Smart DecisionsHumanities Dept. 
 Imperial Horizons
http://www3.imperial.ac.uk/horizons

Term(s), Clashes and Prerequisites

*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