BEng (Hons) or MEng — 2026 entry Electronic Engineering

Expected prior learning:  Learning equivalent to Year 1, and Year 2 Semester 1, of EE Programmes. Module purpose: This module provides an introduction to the process of digital image formation in real and computer-generated imagery and builds up EEE1035 Programming in C. Mathematical methods used to represent cameras, scene geometry and lighting in both computer vision and graphics are covered. The course introduces both the theoretical concepts and practical implementation of three-dimensional computer graphics used in visual effects, games, and scientific visualisation. Practical implementation of computer graphics will be introduced using the OpenGL libraries which are widely used in industry. Some of the concepts developed in this module will be useful in other computer vision modules such as EEE3032 Computer Vision and Pattern Recognition.    

Expected prior learning: Learning equivalent to Year 1 and Year 2, Semester 1, of EE Programmes. Module purpose: Using lectures, problems classes, worked examples and tutorial sheets this module will provide the fundamentals needed to understand the operation of key electronic and photonic devices as determined by their fundamental semiconducting properties. The module builds upon prior study of electrical science (EEE1034) delivered in Year 1 of the undergraduate programme (or equivalent elsewhere). This module facilitates future advanced master level leaning in advanced and modern electronic materials and devices. The module will also provide a brief introduction to more advanced topics covered in the Year 3 modules (EEE3041).

Expected prior learning:  Learning equivalent to Year 1 of EE Programmes. Module purpose:  Space engineering provides a foundation for human access and utilization of space and has shown growing importance to global economy. The module offers basics of space engineering and mission design. Students will obtain an introduction on mission analysis and design tools, instrumentation and space technologies. For those students on the undergraduate “space” pathways, the module acts as an introduction to the space engineering and mission design, and the themes are picked up in the compulsory Level 6 modules: EEE3040 Space Engineering and EEE3039 Space Dynamics and Missions, where they are examined in more detail. These modules, together, provide the background and context for the detailed individual Level 7 modules concerning different aspects, systems and applications of spacecraft: e.g. EEEM044 RF Systems and Circuit Design; EEM031 Satellite Communications Fundamentals; EEEM033 Satellite Remote Sensing; EEEM059 Space Avionics;.EEEM009 Advanced Guidance, Navigation and Control; EEEM032 Advanced Satellite Communications Techniques; EEEM012 Launch Vehicles and Propulsion; and EEEM057 Space Environment and Protection. Students may choose their own selection from these advanced Level 7 modules, according to their interests or future career choices.  

Expected prior learning:  A good working knowledge of procedural programming, preferably in the C programming language.  [Surrey EEE students should have achieved this in their Year 1 studies. Module purpose:  Object orientated programming (OOP) is a popular programming methodology for large application programming. C++ is a powerful programming language which, being backwards compatible with C, provides efficient access to low level components of a system. This makes it important for Electronic Engineering yet it is also a fully functioning industrially recognized language for large scale application programming. The module will provide students with the fundamentals of Object Orientated Design and Programming, with specific emphasis on its implementation in the C++ language.

Computer networks are an essential part of almost all corporate computing facilities and even most domestic ones.  Interoperability is the key – all components must conform to the same hardware and packet specifications in order that they can be interconnected successfully.  This module introduces essential concepts about all the computer networking layering levels with some emphasis on the routing algorithms and implementation of network sensing. 

Expected prior learning: It is helpful, but not essential, to have taken module EEE2040 – Communications Networks (EEE2040), or to have equivalent learning. Module purpose:  This module deals with the three important processing stages of modern digital communication systems which are source coding for signal compression, channel error control coding for robust transmission and modulation for efficient digital interface with the available channel. The module is designed to provide basic-to-intermediate scale introduction of the subject at the UG level and the learning developed in this module can be enhanced further at relevant MEng / MSc level modules (EEEM017, EEEM030, EEEM031)

Expected prior learning: Knowledge of basic properties of signals and related methods, including Fourier series, Fourier transforms, Laplace transforms, and convolution. BEng/MEng students might have acquired this through study of module EEE2035 Engineering Mathematics III and/or module EEE2033 Circuits, Control and Communications. MSc students might have acquired this through study of an undergraduate module on “Signals and Systems” or through independent study. Module purpose: This introductory course in Digital Signal Processing explores mathematical tools used to represent, analyse and design basic DSP systems. This module underpins many key areas of digital systems, including audio-visual technology, digital communications, control systems, and computer vision. This topic is therefore of paramount importance to any electronic engineer. This module EEE3008 provides the expected prior learning for the following module EEEM030 Speech & Audio Processing and Recognition Taking module EEE3008 may also contribute to a deeper understanding of the following modules EEE3032 Computer Vision and Pattern Recognition, EEE3042 Audio and Video Processing and EEEM071 Advanced Topics in Computer Vision and Deep Learning

Radio frequency (RF) and microwave engineers require proficiency in a specific set of skills to in electronic circuitry that does not exist for other typical applications. Therefore, a good grounding in the electronics associated with RF and microwave devices and important underlying essential fundamentals are delivered for any form of RF or microwave engineering. The module will be important for other RF related modules such as EEEM044 RF System and Circuit Design and EEEM064 Microwave Design Techniques

Expected prior learning:  Students should have an interest in materials and devices Module purpose:  Nanotechnology promises new strong and light materials, faster electronic devices which consume less energy and have enhanced functionality. Nanotechnology and nanomaterials are everywhere; it is on the nanometer scale that many of the well-known descriptions and properties of materials breakdown and where an understanding of quantum effects becomes vital.  New materials such as graphene and carbon nanotubes with outstanding physical and electronic properties have emerged. This module will introduce quantum engineering and new nanomaterials as well as showing how developments have led to unprecedented ability to see and manipulate atoms and materials on the nanoscale. The module builds upon prior study of electronic materials delivered in Year 2 of the undergraduate programme such as EEE2040 Electronic and Photonics Devices, EEE2045 Electrical Science II. This module facilitates future advanced master level leaning in advanced and modern electronic materials and devices such as in module EEEM022 Nanoelectronics and Devices.

Expected prior learning: Module EEE2041 – Computer Vision & Graphics, or equivalent learning about the geometric interpretation of Linear Algebra (e.g. homogeneous coordinates and matrices for point transformation e.g. rotation, translation, scaling). Module purpose: The module delivers a grounding in Computer Vision, suitable for students with a grounding in linear algebra similar to that provided by EEE2041 – Computer Vision & Graphics) and will help with modules such EEEM071 Advanced Topics in Computer Vision and Deep Learning. Content is presented as an application-focused tour of Computer Vision from the low-level (image processing), through to high level model fitting and object recognition.  

Expected prior learning:  Module EEE2033 – Electronics III: Circuits, Control and Communications or equivalent learning. Module purpose:  Control Engineering covers classical control theory as well as more modern methods. Students have the opportunity in this module to evaluate and apply various control techniques. This module builds on basic concepts previously introduced in Electronics III: Circuits, Control and Communications EEE2033, or equivalent learning and builds the fundamentals for a subsequent career as a control engineer or systems engineer.

Expected prior learning: Module EEE2040 – Communications Networks or equivalent learning. Module purpose: The Internet is an important worldwide communications system; the module provides an in-depth treatment of current and evolving Internet protocols and standards, and the algorithms that underlie them. The module also permits further study on networking in modules such as EEEM018 Advanced Mobile Communication Systems, EEEM023 Network Service management and Control, EEEM032 Advanced Satellite Communication Techniques

Expected prior learning: Modules EEE2033 – Circuits, Control and Communications, or equivalent learning. Knowledge of linear systems and of the basics of control engineering is particularly helpful. Module purpose: This module aims to develop a better understanding of transistor amplifiers, power semiconductor switching devices and various power converters. A detailed analysis of power converters like AC to DC phase controlled rectifiers, AC to AC, DC to DC converter & Pulse Width Modulated (PWM) inverters will be provided. In order to develop a broader understanding of this subject, a few domestic & industrial applications will be taught in this module.

This module provides knowledge about advanced digital circuit design and the hardware description language VHDL. The practical part of the course is concerned with FPGA implementation, using modern CAD tools and FPGA prototyping boards. This module builds on from many Electronic Engineering modules at undergraduate level in the topics of Circuit Design and Processor design such EEE2045 Electrical Science II and will lead on to EEEM059 Space Avionics

Expected prior learning:  Module EEE2042 – Electronic and Photonic Devices, or equivalent learning, is advisory but not required. Module purpose:  Semiconductor devices and optoelectronics play a major technology enabling amongst other things the internet. The course is given via a series of lectures and aims to give a background to the interaction of light with key photonic materials and devices. This module will introduce students to modern energy efficient electronic and photonic devices concentrating on the fundamental science of operation, device structure and characteristics.

Module purpose: Modern robotics brings together many aspects of engineering including electronics, hardware, software and AI. This leads to complex asynchronous systems that requires a systems engineering approach. The Robotics Operating System (ROS), is an extensive community built software suite that underpins most leading-edge robotics development. It provides extensive hardware interfacing and high-level functionality which allows complex systems engineering and control while abstracting away much of the complexity inherent to robotics systems design. This module will use ROS to provide a solid foundation in systems engineering based robotics.

Expected prior learning:  Learning equivalent to Year 1, and Year 2 Semester 1, of EE Programmes. Module purpose: This module provides an introduction to the process of digital image formation in real and computer-generated imagery and builds up EEE1035 Programming in C. Mathematical methods used to represent cameras, scene geometry and lighting in both computer vision and graphics are covered. The course introduces both the theoretical concepts and practical implementation of three-dimensional computer graphics used in visual effects, games, and scientific visualisation. Practical implementation of computer graphics will be introduced using the OpenGL libraries which are widely used in industry. Some of the concepts developed in this module will be useful in other computer vision modules such as EEE3032 Computer Vision and Pattern Recognition.    

Expected prior learning: Learning equivalent to Year 1 and Year 2, Semester 1, of EE Programmes. Module purpose: Using lectures, problems classes, worked examples and tutorial sheets this module will provide the fundamentals needed to understand the operation of key electronic and photonic devices as determined by their fundamental semiconducting properties. The module builds upon prior study of electrical science (EEE1034) delivered in Year 1 of the undergraduate programme (or equivalent elsewhere). This module facilitates future advanced master level leaning in advanced and modern electronic materials and devices. The module will also provide a brief introduction to more advanced topics covered in the Year 3 modules (EEE3041).

Expected prior learning:  Learning equivalent to Year 1 of EE Programmes. Module purpose:  Space engineering provides a foundation for human access and utilization of space and has shown growing importance to global economy. The module offers basics of space engineering and mission design. Students will obtain an introduction on mission analysis and design tools, instrumentation and space technologies. For those students on the undergraduate “space” pathways, the module acts as an introduction to the space engineering and mission design, and the themes are picked up in the compulsory Level 6 modules: EEE3040 Space Engineering and EEE3039 Space Dynamics and Missions, where they are examined in more detail. These modules, together, provide the background and context for the detailed individual Level 7 modules concerning different aspects, systems and applications of spacecraft: e.g. EEEM044 RF Systems and Circuit Design; EEM031 Satellite Communications Fundamentals; EEEM033 Satellite Remote Sensing; EEEM059 Space Avionics;.EEEM009 Advanced Guidance, Navigation and Control; EEEM032 Advanced Satellite Communications Techniques; EEEM012 Launch Vehicles and Propulsion; and EEEM057 Space Environment and Protection. Students may choose their own selection from these advanced Level 7 modules, according to their interests or future career choices.  

Expected prior learning:  A good working knowledge of procedural programming, preferably in the C programming language.  [Surrey EEE students should have achieved this in their Year 1 studies. Module purpose:  Object orientated programming (OOP) is a popular programming methodology for large application programming. C++ is a powerful programming language which, being backwards compatible with C, provides efficient access to low level components of a system. This makes it important for Electronic Engineering yet it is also a fully functioning industrially recognized language for large scale application programming. The module will provide students with the fundamentals of Object Orientated Design and Programming, with specific emphasis on its implementation in the C++ language.

Computer networks are an essential part of almost all corporate computing facilities and even most domestic ones.  Interoperability is the key – all components must conform to the same hardware and packet specifications in order that they can be interconnected successfully.  This module introduces essential concepts about all the computer networking layering levels with some emphasis on the routing algorithms and implementation of network sensing. 

Expected prior learning: It is helpful, but not essential, to have taken module EEE2040 – Communications Networks (EEE2040), or to have equivalent learning. Module purpose:  This module deals with the three important processing stages of modern digital communication systems which are source coding for signal compression, channel error control coding for robust transmission and modulation for efficient digital interface with the available channel. The module is designed to provide basic-to-intermediate scale introduction of the subject at the UG level and the learning developed in this module can be enhanced further at relevant MEng / MSc level modules (EEEM017, EEEM030, EEEM031)

Expected prior learning: Knowledge of basic properties of signals and related methods, including Fourier series, Fourier transforms, Laplace transforms, and convolution. BEng/MEng students might have acquired this through study of module EEE2035 Engineering Mathematics III and/or module EEE2033 Circuits, Control and Communications. MSc students might have acquired this through study of an undergraduate module on “Signals and Systems” or through independent study. Module purpose: This introductory course in Digital Signal Processing explores mathematical tools used to represent, analyse and design basic DSP systems. This module underpins many key areas of digital systems, including audio-visual technology, digital communications, control systems, and computer vision. This topic is therefore of paramount importance to any electronic engineer. This module EEE3008 provides the expected prior learning for the following module EEEM030 Speech & Audio Processing and Recognition Taking module EEE3008 may also contribute to a deeper understanding of the following modules EEE3032 Computer Vision and Pattern Recognition, EEE3042 Audio and Video Processing and EEEM071 Advanced Topics in Computer Vision and Deep Learning

Radio frequency (RF) and microwave engineers require proficiency in a specific set of skills to in electronic circuitry that does not exist for other typical applications. Therefore, a good grounding in the electronics associated with RF and microwave devices and important underlying essential fundamentals are delivered for any form of RF or microwave engineering. The module will be important for other RF related modules such as EEEM044 RF System and Circuit Design and EEEM064 Microwave Design Techniques

Expected prior learning:  Students should have an interest in materials and devices Module purpose:  Nanotechnology promises new strong and light materials, faster electronic devices which consume less energy and have enhanced functionality. Nanotechnology and nanomaterials are everywhere; it is on the nanometer scale that many of the well-known descriptions and properties of materials breakdown and where an understanding of quantum effects becomes vital.  New materials such as graphene and carbon nanotubes with outstanding physical and electronic properties have emerged. This module will introduce quantum engineering and new nanomaterials as well as showing how developments have led to unprecedented ability to see and manipulate atoms and materials on the nanoscale. The module builds upon prior study of electronic materials delivered in Year 2 of the undergraduate programme such as EEE2040 Electronic and Photonics Devices, EEE2045 Electrical Science II. This module facilitates future advanced master level leaning in advanced and modern electronic materials and devices such as in module EEEM022 Nanoelectronics and Devices.

Expected prior learning: Module EEE2041 – Computer Vision & Graphics, or equivalent learning about the geometric interpretation of Linear Algebra (e.g. homogeneous coordinates and matrices for point transformation e.g. rotation, translation, scaling). Module purpose: The module delivers a grounding in Computer Vision, suitable for students with a grounding in linear algebra similar to that provided by EEE2041 – Computer Vision & Graphics) and will help with modules such EEEM071 Advanced Topics in Computer Vision and Deep Learning. Content is presented as an application-focused tour of Computer Vision from the low-level (image processing), through to high level model fitting and object recognition.  

Expected prior learning:  Module EEE2033 – Electronics III: Circuits, Control and Communications or equivalent learning. Module purpose:  Control Engineering covers classical control theory as well as more modern methods. Students have the opportunity in this module to evaluate and apply various control techniques. This module builds on basic concepts previously introduced in Electronics III: Circuits, Control and Communications EEE2033, or equivalent learning and builds the fundamentals for a subsequent career as a control engineer or systems engineer.

Expected prior learning: Module EEE2040 – Communications Networks or equivalent learning. Module purpose: The Internet is an important worldwide communications system; the module provides an in-depth treatment of current and evolving Internet protocols and standards, and the algorithms that underlie them. The module also permits further study on networking in modules such as EEEM018 Advanced Mobile Communication Systems, EEEM023 Network Service management and Control, EEEM032 Advanced Satellite Communication Techniques

Expected prior learning: Modules EEE2033 – Circuits, Control and Communications, or equivalent learning. Knowledge of linear systems and of the basics of control engineering is particularly helpful. Module purpose: This module aims to develop a better understanding of transistor amplifiers, power semiconductor switching devices and various power converters. A detailed analysis of power converters like AC to DC phase controlled rectifiers, AC to AC, DC to DC converter & Pulse Width Modulated (PWM) inverters will be provided. In order to develop a broader understanding of this subject, a few domestic & industrial applications will be taught in this module.

This module provides knowledge about advanced digital circuit design and the hardware description language VHDL. The practical part of the course is concerned with FPGA implementation, using modern CAD tools and FPGA prototyping boards. This module builds on from many Electronic Engineering modules at undergraduate level in the topics of Circuit Design and Processor design such EEE2045 Electrical Science II and will lead on to EEEM059 Space Avionics

Expected prior learning:  Module EEE2042 – Electronic and Photonic Devices, or equivalent learning, is advisory but not required. Module purpose:  Semiconductor devices and optoelectronics play a major technology enabling amongst other things the internet. The course is given via a series of lectures and aims to give a background to the interaction of light with key photonic materials and devices. This module will introduce students to modern energy efficient electronic and photonic devices concentrating on the fundamental science of operation, device structure and characteristics.

Module purpose: Modern robotics brings together many aspects of engineering including electronics, hardware, software and AI. This leads to complex asynchronous systems that requires a systems engineering approach. The Robotics Operating System (ROS), is an extensive community built software suite that underpins most leading-edge robotics development. It provides extensive hardware interfacing and high-level functionality which allows complex systems engineering and control while abstracting away much of the complexity inherent to robotics systems design. This module will use ROS to provide a solid foundation in systems engineering based robotics.

Expected prior learning:  Learning equivalent to Year 1, and Year 2 Semester 1, of EE Programmes. Module purpose: This module provides an introduction to the process of digital image formation in real and computer-generated imagery and builds up EEE1035 Programming in C. Mathematical methods used to represent cameras, scene geometry and lighting in both computer vision and graphics are covered. The course introduces both the theoretical concepts and practical implementation of three-dimensional computer graphics used in visual effects, games, and scientific visualisation. Practical implementation of computer graphics will be introduced using the OpenGL libraries which are widely used in industry. Some of the concepts developed in this module will be useful in other computer vision modules such as EEE3032 Computer Vision and Pattern Recognition.    

Expected prior learning: Learning equivalent to Year 1 and Year 2, Semester 1, of EE Programmes. Module purpose: Using lectures, problems classes, worked examples and tutorial sheets this module will provide the fundamentals needed to understand the operation of key electronic and photonic devices as determined by their fundamental semiconducting properties. The module builds upon prior study of electrical science (EEE1034) delivered in Year 1 of the undergraduate programme (or equivalent elsewhere). This module facilitates future advanced master level leaning in advanced and modern electronic materials and devices. The module will also provide a brief introduction to more advanced topics covered in the Year 3 modules (EEE3041).

Expected prior learning:  Learning equivalent to Year 1 of EE Programmes. Module purpose:  Space engineering provides a foundation for human access and utilization of space and has shown growing importance to global economy. The module offers basics of space engineering and mission design. Students will obtain an introduction on mission analysis and design tools, instrumentation and space technologies. For those students on the undergraduate “space” pathways, the module acts as an introduction to the space engineering and mission design, and the themes are picked up in the compulsory Level 6 modules: EEE3040 Space Engineering and EEE3039 Space Dynamics and Missions, where they are examined in more detail. These modules, together, provide the background and context for the detailed individual Level 7 modules concerning different aspects, systems and applications of spacecraft: e.g. EEEM044 RF Systems and Circuit Design; EEM031 Satellite Communications Fundamentals; EEEM033 Satellite Remote Sensing; EEEM059 Space Avionics;.EEEM009 Advanced Guidance, Navigation and Control; EEEM032 Advanced Satellite Communications Techniques; EEEM012 Launch Vehicles and Propulsion; and EEEM057 Space Environment and Protection. Students may choose their own selection from these advanced Level 7 modules, according to their interests or future career choices.  

Expected prior learning:  A good working knowledge of procedural programming, preferably in the C programming language.  [Surrey EEE students should have achieved this in their Year 1 studies. Module purpose:  Object orientated programming (OOP) is a popular programming methodology for large application programming. C++ is a powerful programming language which, being backwards compatible with C, provides efficient access to low level components of a system. This makes it important for Electronic Engineering yet it is also a fully functioning industrially recognized language for large scale application programming. The module will provide students with the fundamentals of Object Orientated Design and Programming, with specific emphasis on its implementation in the C++ language.

Computer networks are an essential part of almost all corporate computing facilities and even most domestic ones.  Interoperability is the key – all components must conform to the same hardware and packet specifications in order that they can be interconnected successfully.  This module introduces essential concepts about all the computer networking layering levels with some emphasis on the routing algorithms and implementation of network sensing. 

Expected prior learning: It is helpful, but not essential, to have taken module EEE2040 – Communications Networks (EEE2040), or to have equivalent learning. Module purpose:  This module deals with the three important processing stages of modern digital communication systems which are source coding for signal compression, channel error control coding for robust transmission and modulation for efficient digital interface with the available channel. The module is designed to provide basic-to-intermediate scale introduction of the subject at the UG level and the learning developed in this module can be enhanced further at relevant MEng / MSc level modules (EEEM017, EEEM030, EEEM031)

Expected prior learning: Knowledge of basic properties of signals and related methods, including Fourier series, Fourier transforms, Laplace transforms, and convolution. BEng/MEng students might have acquired this through study of module EEE2035 Engineering Mathematics III and/or module EEE2033 Circuits, Control and Communications. MSc students might have acquired this through study of an undergraduate module on “Signals and Systems” or through independent study. Module purpose: This introductory course in Digital Signal Processing explores mathematical tools used to represent, analyse and design basic DSP systems. This module underpins many key areas of digital systems, including audio-visual technology, digital communications, control systems, and computer vision. This topic is therefore of paramount importance to any electronic engineer. This module EEE3008 provides the expected prior learning for the following module EEEM030 Speech & Audio Processing and Recognition Taking module EEE3008 may also contribute to a deeper understanding of the following modules EEE3032 Computer Vision and Pattern Recognition, EEE3042 Audio and Video Processing and EEEM071 Advanced Topics in Computer Vision and Deep Learning

Radio frequency (RF) and microwave engineers require proficiency in a specific set of skills to in electronic circuitry that does not exist for other typical applications. Therefore, a good grounding in the electronics associated with RF and microwave devices and important underlying essential fundamentals are delivered for any form of RF or microwave engineering. The module will be important for other RF related modules such as EEEM044 RF System and Circuit Design and EEEM064 Microwave Design Techniques

Expected prior learning:  Students should have an interest in materials and devices Module purpose:  Nanotechnology promises new strong and light materials, faster electronic devices which consume less energy and have enhanced functionality. Nanotechnology and nanomaterials are everywhere; it is on the nanometer scale that many of the well-known descriptions and properties of materials breakdown and where an understanding of quantum effects becomes vital.  New materials such as graphene and carbon nanotubes with outstanding physical and electronic properties have emerged. This module will introduce quantum engineering and new nanomaterials as well as showing how developments have led to unprecedented ability to see and manipulate atoms and materials on the nanoscale. The module builds upon prior study of electronic materials delivered in Year 2 of the undergraduate programme such as EEE2040 Electronic and Photonics Devices, EEE2045 Electrical Science II. This module facilitates future advanced master level leaning in advanced and modern electronic materials and devices such as in module EEEM022 Nanoelectronics and Devices.

Expected prior learning: Module EEE2041 – Computer Vision & Graphics, or equivalent learning about the geometric interpretation of Linear Algebra (e.g. homogeneous coordinates and matrices for point transformation e.g. rotation, translation, scaling). Module purpose: The module delivers a grounding in Computer Vision, suitable for students with a grounding in linear algebra similar to that provided by EEE2041 – Computer Vision & Graphics) and will help with modules such EEEM071 Advanced Topics in Computer Vision and Deep Learning. Content is presented as an application-focused tour of Computer Vision from the low-level (image processing), through to high level model fitting and object recognition.  

Expected prior learning:  Module EEE2033 – Electronics III: Circuits, Control and Communications or equivalent learning. Module purpose:  Control Engineering covers classical control theory as well as more modern methods. Students have the opportunity in this module to evaluate and apply various control techniques. This module builds on basic concepts previously introduced in Electronics III: Circuits, Control and Communications EEE2033, or equivalent learning and builds the fundamentals for a subsequent career as a control engineer or systems engineer.

Expected prior learning: Module EEE2040 – Communications Networks or equivalent learning. Module purpose: The Internet is an important worldwide communications system; the module provides an in-depth treatment of current and evolving Internet protocols and standards, and the algorithms that underlie them. The module also permits further study on networking in modules such as EEEM018 Advanced Mobile Communication Systems, EEEM023 Network Service management and Control, EEEM032 Advanced Satellite Communication Techniques

Expected prior learning: Modules EEE2033 – Circuits, Control and Communications, or equivalent learning. Knowledge of linear systems and of the basics of control engineering is particularly helpful. Module purpose: This module aims to develop a better understanding of transistor amplifiers, power semiconductor switching devices and various power converters. A detailed analysis of power converters like AC to DC phase controlled rectifiers, AC to AC, DC to DC converter & Pulse Width Modulated (PWM) inverters will be provided. In order to develop a broader understanding of this subject, a few domestic & industrial applications will be taught in this module.

This module provides knowledge about advanced digital circuit design and the hardware description language VHDL. The practical part of the course is concerned with FPGA implementation, using modern CAD tools and FPGA prototyping boards. This module builds on from many Electronic Engineering modules at undergraduate level in the topics of Circuit Design and Processor design such EEE2045 Electrical Science II and will lead on to EEEM059 Space Avionics

Expected prior learning:  Module EEE2042 – Electronic and Photonic Devices, or equivalent learning, is advisory but not required. Module purpose:  Semiconductor devices and optoelectronics play a major technology enabling amongst other things the internet. The course is given via a series of lectures and aims to give a background to the interaction of light with key photonic materials and devices. This module will introduce students to modern energy efficient electronic and photonic devices concentrating on the fundamental science of operation, device structure and characteristics.

Module purpose: Modern robotics brings together many aspects of engineering including electronics, hardware, software and AI. This leads to complex asynchronous systems that requires a systems engineering approach. The Robotics Operating System (ROS), is an extensive community built software suite that underpins most leading-edge robotics development. It provides extensive hardware interfacing and high-level functionality which allows complex systems engineering and control while abstracting away much of the complexity inherent to robotics systems design. This module will use ROS to provide a solid foundation in systems engineering based robotics.

Expected prior learning:  Module EEE3008–Fundamentals of Digital Signal Processing  or equivalent learning about signal processing. Module purpose:  The module discusses basic concepts, signal processing methods and human computer interaction applications of speech processing and recognition including auditory perception and psychoacoustics. You will be taught how to extract salient features from speech signals, how to design a model of spoken language, how to perform recognition and training, and given an insight into current research on spontaneous speech recognition, such as speaker adaptation and solutions for robustness to noise. Demonstrations, interesting illustrations and working examples will be given. Successful students can either proceed to do PhDs or get jobs in the R & D departments of industry, i.e. jobs that are at a higher level than mere software package operators. The presented techniques have many other applications beyond speech, including expert systems and financial modelling. Module EEEM030 contributes to the development of student’s knowledge in audio and speech processing and recognition, which may be useful for their taking of other modules such as: EEEM071 Advanced Topics in Computer Vision and Deep Learning EEEM004 60 Credit Standard Project EEEM005 AI and AI Programming EEEM066 Fundamentals of Machine Learning EEEM067 AR, VR and Metaverse EEEM068 Applied Machine Learning Module EEEM030 contributes to student knowledge in audio and speech processing and thus useful for students taking 60 credit project (EEEM004) related to audio and speech processing and recognition. EEEM030 is related to EEEM005, EEEM066 and EEEM068 due to the fact that machine learning/AI techniques are used for speech and speaker recognition, therefore, EEEM030 contributes to the development of student knowledge in machine learning/AI, which is beneficial for their taking of machine learning and AI related modules such as EEEM005, EEEM066 and EEEM068. One of the applications of audio and speech processing is to apply it to AR, VR and Metaverse for spatial sound production and reproduction which is a key enabling technology for AR, VR, and Metaverse, for virtual sound reproduction. Therefore, knowledge gained from EEEM030 would be useful for the taking of the module EEEM067. Module EEE030 also benefits from knowledge gained from other modules such as: EEE3008 Digital Signal Processing EEE1033 Computer and Digital Logic EEE1035 Programming  in C EEE3042 Audio and Video Processing EEE3032 Computer Vision and Pattern Recognition The modules EEE1033 and EEE1035 provide students with some useful skills in programming, which will be beneficial for them to complete the computer programming based coursework components, by turning the signal processing theories and methods into working program codes. The module EEE3008 provides students with knowledge and skills on fundamental digital signal processing skills which are essential in understanding the application of these skills to audio and speech data. EEE3042 covers both audio and video processing and coding, and the audio related materials are highly relevant and thus useful for the EEEM030 module. The pattern recognition skills gained from EEE3032 would be useful for understanding the use of pattern recognition algorithms to speech data for achieving speech and speaker recognition.  

Expected prior/parallel learning:   BEng-level understanding of digital telecommunications systems. MEng students might have partly acquired this through study of EEE3006 – Digital Communications. Module purpose: Satellite communications are an important component of modern telecommunication systems. This module provides the student with an overall understanding of satellite communication systems, technologies and techniques and equips him/her with the design tools to enter employment in the sector.   The main goal of this module is to design a satellite communication link to fix or mobile users given a specified quality of service (QoS). To do so, one needs to take into account both telecommunication and satellite related parameters. In this module, you will learn about the satellite payload and how it operates, what is in the earth station and what are the characteristics of the satellite to earth link. In particular, we clearly state the differences in design compared to the terrestrial communication systems We also study in some details the modern satellite networks and constellations. [EEE3006]: This module uses several techniques addressed in digital communications module such as coding and modulation. [EEEM032]: This module is a prerequisite for the advanced satellite communication techniques. [EEEM009],[EEEM059]: Even though other satellite applications such as earth observation or satellites for navigation and positioning are not addressed in this module, however, all such application will eventually need to stablish a communication line with earth. In this sense, this module is closely related to modules on space avionics and navigation, guidance and control.

Expected prior learning:  None specifically advised. Module purpose:  Earth and planetary observation with remote sensing data is playing a key role in the present understanding of natural phenomena, prevention of disasters, resources monitoring, comprehension of origins of life. Through a series of lectures, seminars, open discussions and “thinking breaks” in class, the module aims to give an introduction to the scientific principles of remote sensing – both passive and active – as carried out by spacecraft. Remote sensing is discussed in terms of instrumentation, missions, products and applications. IMPORTANT: The Second assessment pattern (Written Exam) is only applicable to the MSc Short Course Students.

IMPORTANT: The second assessment pattern is only applicable to the MSc Short Course Students Expected prior learning: EEE3033 – RF and Microwave Fundamentals, or equivalent learning. Module purpose: Advanced communications systems and radar operate at RF and microwave frequencies. The design principles and circuit operation, underlying these systems, are quite different from those of electronics used in signal processing at baseband frequencies. This module will cover the key elements of RF and microwave system design as well as analysis concepts for a range of commonly used active circuits, including: oscillators, frequency synthesisers, amplifiers and mixers. The module will also cover the circuit design and operation of non-linear devices used in active circuits together with deployment considerations. This module will include and build on many of the concepts studied in EEE3033 RF and Microwave Fundamentals and address further advanced features of non linear RF devices and system optimisation. It is complementary to EEEM064 Microwave Design Techniques and also EEEM006 Antennas and Propagation.

Expected prior learning:  None. Module purpose:  To inform students as to the importance of renewable energy in the energy mix required for generation within nations. This is now becoming law in developed countries following the Kyoto agreement and green energy obligations. Students will learn as to the various energy generation options available from power scavengers for handheld calculators to energy generation to power the world’s energy need. Furthermore, an appreciation for the need for energy storage at all power levels will be discussed, with special emphasis on the materials requirements. Students will be able to examine next generation materials being proposed for meeting world's demand based on green energy.  

Module purpose: This course offers an introduction to machine learning for those interested in the science and technology of Artificial Intelligence (AI). It provides background and the theory for building fundamental artificial systems that can process a variety of data and analyse their semantic information of interest. This is implemented by various fundamental learning algorithms that will be discussed and demonstrated in an easy-to-approach manner.

This module will introduce and explore the underlying concepts and technologies of virtual/augmented reality (VR/AR) and the emerging idea of the Metaverse. The module will also investigate the current and future challenges of the technologies and consider the impact it will have on industry and wider society.

Students in this module will learn about the different key concepts and elements comprising a wireless communication system, e.g. signal, transmitter, receiver, channel, as well as understand the primary objectives of communication systems, i.e. reliability and efficiency. They will do so by engaging with the various types of teaching materials presented to them as well as participating in our MATLAB lab sessions where they will be given the opportunity to analyse and simulate radio propagation behaviours/coverage via a state-of-the-art software platform as well as to model and simulate a simple wireless communication system.

Module purpose: Advances related to energy efficiency issues and cost reductions have resulted in the rapid growth and deployment of networked devices and sensing/actuation systems that connect the physical world with the cyber world. This evolving framework, now recognized as the Artificial Intelligence of Things (AIoT), integrates IoT technologies with artificial intelligence (AI) to enhance automation, intelligence, and decision-making. AIoT incorporates several cutting-edge technologies, including wireless sensor networks, pervasive systems, ambient intelligence, context awareness, distributed systems, and machine learning-driven analytics. Module Overview: The advanced AIoT module is designed to provide a comprehensive understanding of how machine communications , coupled with AI, contribute to creating smart artificial intelligence-driven environments, focusing on networking and communication systems. The module provides an overview of the key concepts and enabling technologies for AIoT. It encompasses a cross-layer approach, allowing students to explore the practical aspects of sensors, actuators, and mainly communication systems for AIoT across physical, media access, and network layers. This includes security considerations, satellite AIoT, positioning and tracking for industrial applications, AIoT Platforms (Hardware, Software), protocols and standards (e.g. 6LowPAN, ZigBee, CoAp), semantic technologies, and data and information processing mechanisms. Also, the module explores AI-driven methodologies such as ensemble learning, multi-armed bandits for sequential decision-making, and lightweight machine learning Mmodels for AIoT applications. These techniques enhance real-time data analysis, predictive maintenance, anomaly detection, and adaptive control while ensuring computational efficiency.

This module introduces students to some of the basic ideas and concepts that underlie the development of artificially intelligent machine systems. Teaches core AI materials for problem solving (search, logic, probabilistic methods, Perceptrons as the building block for ANNs) Focuses on core understanding and problem solving: suitable tools/methods for a problem using problem classes Provides a clear understanding of neural networks, back-propagation, RBFs, ANN learning and optimisation Provides a clear understanding of intelligent agents via search methods and introducing cost functions Provides a clear understanding of Bayes’ Rule, conditional probability and uncertainty reasoning Provides a clear understanding of knowledge capture, symbolic knowledge representation and logical reasoning from antiquity to Boule to first order predicate rules and representations. Provides opportunity to implement concepts during coursework.

Expected prior/parallel learning:  Students should have an interest in materials and devices; it would be of benefit to have studied EEE3037 Nanoscience and Nanotechnology. Module purpose:  Nanoelectronics represent the ultimate in advanced electronic device design and operation. At the nanoscale the quantum nature of matter is evident in the operation of faster, energy efficient devices with greater functionality. New materials, such as graphene and new molecular electronic materials, offer unique electronic properties which continually emerge in parallel to advances in device architecture and performance aligned to the International Roadmap for Devices and Systems. This module will introduce some of the key concepts in low dimensional mesoscopic science and engineering, and molecular electronics and associated devices. The module builds on materials seen earlier in the undergraduate programme such as in EEE2042 Electronic and Photonic Devices, EEE2045 Electrical Science II, EEE3037 Nanoscience and Nanotechnology and EEE3041 Semiconductor Devices and Optoelectronics.

Expected prior/parallel learning: This module covers advanced topics on satellite communications and networks, following the Satellite Communication fundamentals (EEEM031). An alternate module containing suitable prior learning is, Space System Design (EEE3040). Module purpose: This module covers advanced topics on satellite communications and networks. These networks are an important part of global information infrastructure providing broadcasting, mobile and broadband services to millions of homes and offices as well as disaster relieves and emergency communications services.

Expected Prior Learning: Module EEE3040 Space Systems Design, or equivalent module. Module Purpose: Through a series of lectures and a design assignment, the module aims to give an introduction to the engineering design principles, requirements and solutions for satellite avionics. This module builds on from many Electronic Engineering modules at undergraduate level in the topics of RF/Communications (EEE3033), Processor Design (EEE3027), and C coding Software (EEE1035 and EEE2047).

Expected prior learning: EEE3033–RF and Microwave Fundamentals, or equivalent learning. Module purpose: At Gigahertz frequencies the operating wavelength is small. Devices operating in the Gigahertz frequency range are therefore electrically large compared to the operating wavelength. In such cases, it is no longer appropriate to use traditional lumped element circuit components. The passive devices used at Gigahertz frequencies thus have to be made either using printed transmission lines (e.g. microstrip, coplanar waveguide) or waveguide. This module will present microwave design and analysis concepts for a range of commonly used passive circuits using both microstrip lines and waveguides, including: transmission lines, coupling networks, antennas and filters. This module will revisit and build on the use of the Smith chart also introduced in EEE3033 RF and Microwave Fundamentals and use it for further design applications of microstrip circuits. It is complementary to module EEEM044 RF Systems and Circuit Design and EEEM006 Antennas and Propagation.

Module purpose: This course offers an introduction to image processing and computer vision for those interested in the science and technology of machine vision. It provides background and the theory for building artificial systems that manipulate videos and images and alter or analyse their information content. This is done by various computer algorithms that are discussed, implemented and demonstrated.

Developing high-performance energy storage devices such as lithium-ion batteries could greatly promote the development of portable electronics, vehicle electrification and smart grid, alleviate environmental pollution and reduce our dependence on fossil fuels, addressing the “grand challenges” in the sustainability and resilience of environments. This module aims to introduce fundamental scientific, technological or engineering principles and technology applications of batteries used in different electrical systems. Students will learn as to the battery types, battery parts and how to test/monitor a battery. Battery performance requirement by electric vehicles, smart grids, next-generation electronics and electrical systems will also be covered in this module. The discussion of new materials goes beyond that found in EEE3037 Nanoscience and Nanotechnology.

Wireless networks (wide area cellular / satellite, local area residential / business, and ad-hoc / mesh) are an essential part of modern day communication / computing facilities. The network deployment, planning and management are the key issues ¿ all the network components must conform to the given hardware and software specifications in order that they can be interconnected and work successfully for the intended Quality of Service (QoS). This module introduces essential concepts about the network planning, network deployment and network management for a successful running of the network with a focus on software defined networking and virtualisation.

The purpose of this module is to equip students with advanced knowledge of key concepts in modern mobile and wireless communication systems, such as 5G, while also exploring emerging concepts that are likely to shape future technologies, including 6G. By completing this module, students will gain the expertise needed to work with wireless communications technologies in industry or to pursue further academic research in this field. The module bridges foundational knowledge in wireless communications with cutting-edge techniques and promising innovations that can enhance future communication systems, fostering cognitive and conceptual connections across these domains.

Expected prior learning:  Learning equivalent to Year 1, and Year 2 Semester 1, of EE Programmes. Module purpose: This module provides an introduction to the process of digital image formation in real and computer-generated imagery and builds up EEE1035 Programming in C. Mathematical methods used to represent cameras, scene geometry and lighting in both computer vision and graphics are covered. The course introduces both the theoretical concepts and practical implementation of three-dimensional computer graphics used in visual effects, games, and scientific visualisation. Practical implementation of computer graphics will be introduced using the OpenGL libraries which are widely used in industry. Some of the concepts developed in this module will be useful in other computer vision modules such as EEE3032 Computer Vision and Pattern Recognition.    

Expected prior learning: Learning equivalent to Year 1 and Year 2, Semester 1, of EE Programmes. Module purpose: Using lectures, problems classes, worked examples and tutorial sheets this module will provide the fundamentals needed to understand the operation of key electronic and photonic devices as determined by their fundamental semiconducting properties. The module builds upon prior study of electrical science (EEE1034) delivered in Year 1 of the undergraduate programme (or equivalent elsewhere). This module facilitates future advanced master level leaning in advanced and modern electronic materials and devices. The module will also provide a brief introduction to more advanced topics covered in the Year 3 modules (EEE3041).

Expected prior learning:  Learning equivalent to Year 1 of EE Programmes. Module purpose:  Space engineering provides a foundation for human access and utilization of space and has shown growing importance to global economy. The module offers basics of space engineering and mission design. Students will obtain an introduction on mission analysis and design tools, instrumentation and space technologies. For those students on the undergraduate “space” pathways, the module acts as an introduction to the space engineering and mission design, and the themes are picked up in the compulsory Level 6 modules: EEE3040 Space Engineering and EEE3039 Space Dynamics and Missions, where they are examined in more detail. These modules, together, provide the background and context for the detailed individual Level 7 modules concerning different aspects, systems and applications of spacecraft: e.g. EEEM044 RF Systems and Circuit Design; EEM031 Satellite Communications Fundamentals; EEEM033 Satellite Remote Sensing; EEEM059 Space Avionics;.EEEM009 Advanced Guidance, Navigation and Control; EEEM032 Advanced Satellite Communications Techniques; EEEM012 Launch Vehicles and Propulsion; and EEEM057 Space Environment and Protection. Students may choose their own selection from these advanced Level 7 modules, according to their interests or future career choices.  

Expected prior learning:  A good working knowledge of procedural programming, preferably in the C programming language.  [Surrey EEE students should have achieved this in their Year 1 studies. Module purpose:  Object orientated programming (OOP) is a popular programming methodology for large application programming. C++ is a powerful programming language which, being backwards compatible with C, provides efficient access to low level components of a system. This makes it important for Electronic Engineering yet it is also a fully functioning industrially recognized language for large scale application programming. The module will provide students with the fundamentals of Object Orientated Design and Programming, with specific emphasis on its implementation in the C++ language.

Computer networks are an essential part of almost all corporate computing facilities and even most domestic ones.  Interoperability is the key – all components must conform to the same hardware and packet specifications in order that they can be interconnected successfully.  This module introduces essential concepts about all the computer networking layering levels with some emphasis on the routing algorithms and implementation of network sensing. 

Expected prior learning: It is helpful, but not essential, to have taken module EEE2040 – Communications Networks (EEE2040), or to have equivalent learning. Module purpose:  This module deals with the three important processing stages of modern digital communication systems which are source coding for signal compression, channel error control coding for robust transmission and modulation for efficient digital interface with the available channel. The module is designed to provide basic-to-intermediate scale introduction of the subject at the UG level and the learning developed in this module can be enhanced further at relevant MEng / MSc level modules (EEEM017, EEEM030, EEEM031)

Expected prior learning: Knowledge of basic properties of signals and related methods, including Fourier series, Fourier transforms, Laplace transforms, and convolution. BEng/MEng students might have acquired this through study of module EEE2035 Engineering Mathematics III and/or module EEE2033 Circuits, Control and Communications. MSc students might have acquired this through study of an undergraduate module on “Signals and Systems” or through independent study. Module purpose: This introductory course in Digital Signal Processing explores mathematical tools used to represent, analyse and design basic DSP systems. This module underpins many key areas of digital systems, including audio-visual technology, digital communications, control systems, and computer vision. This topic is therefore of paramount importance to any electronic engineer. This module EEE3008 provides the expected prior learning for the following module EEEM030 Speech & Audio Processing and Recognition Taking module EEE3008 may also contribute to a deeper understanding of the following modules EEE3032 Computer Vision and Pattern Recognition, EEE3042 Audio and Video Processing and EEEM071 Advanced Topics in Computer Vision and Deep Learning

Radio frequency (RF) and microwave engineers require proficiency in a specific set of skills to in electronic circuitry that does not exist for other typical applications. Therefore, a good grounding in the electronics associated with RF and microwave devices and important underlying essential fundamentals are delivered for any form of RF or microwave engineering. The module will be important for other RF related modules such as EEEM044 RF System and Circuit Design and EEEM064 Microwave Design Techniques

Expected prior learning:  Students should have an interest in materials and devices Module purpose:  Nanotechnology promises new strong and light materials, faster electronic devices which consume less energy and have enhanced functionality. Nanotechnology and nanomaterials are everywhere; it is on the nanometer scale that many of the well-known descriptions and properties of materials breakdown and where an understanding of quantum effects becomes vital.  New materials such as graphene and carbon nanotubes with outstanding physical and electronic properties have emerged. This module will introduce quantum engineering and new nanomaterials as well as showing how developments have led to unprecedented ability to see and manipulate atoms and materials on the nanoscale. The module builds upon prior study of electronic materials delivered in Year 2 of the undergraduate programme such as EEE2040 Electronic and Photonics Devices, EEE2045 Electrical Science II. This module facilitates future advanced master level leaning in advanced and modern electronic materials and devices such as in module EEEM022 Nanoelectronics and Devices.

Expected prior learning: Module EEE2041 – Computer Vision & Graphics, or equivalent learning about the geometric interpretation of Linear Algebra (e.g. homogeneous coordinates and matrices for point transformation e.g. rotation, translation, scaling). Module purpose: The module delivers a grounding in Computer Vision, suitable for students with a grounding in linear algebra similar to that provided by EEE2041 – Computer Vision & Graphics) and will help with modules such EEEM071 Advanced Topics in Computer Vision and Deep Learning. Content is presented as an application-focused tour of Computer Vision from the low-level (image processing), through to high level model fitting and object recognition.  

Expected prior learning:  Module EEE2033 – Electronics III: Circuits, Control and Communications or equivalent learning. Module purpose:  Control Engineering covers classical control theory as well as more modern methods. Students have the opportunity in this module to evaluate and apply various control techniques. This module builds on basic concepts previously introduced in Electronics III: Circuits, Control and Communications EEE2033, or equivalent learning and builds the fundamentals for a subsequent career as a control engineer or systems engineer.

Expected prior learning: Module EEE2040 – Communications Networks or equivalent learning. Module purpose: The Internet is an important worldwide communications system; the module provides an in-depth treatment of current and evolving Internet protocols and standards, and the algorithms that underlie them. The module also permits further study on networking in modules such as EEEM018 Advanced Mobile Communication Systems, EEEM023 Network Service management and Control, EEEM032 Advanced Satellite Communication Techniques

Expected prior learning: Modules EEE2033 – Circuits, Control and Communications, or equivalent learning. Knowledge of linear systems and of the basics of control engineering is particularly helpful. Module purpose: This module aims to develop a better understanding of transistor amplifiers, power semiconductor switching devices and various power converters. A detailed analysis of power converters like AC to DC phase controlled rectifiers, AC to AC, DC to DC converter & Pulse Width Modulated (PWM) inverters will be provided. In order to develop a broader understanding of this subject, a few domestic & industrial applications will be taught in this module.

This module provides knowledge about advanced digital circuit design and the hardware description language VHDL. The practical part of the course is concerned with FPGA implementation, using modern CAD tools and FPGA prototyping boards. This module builds on from many Electronic Engineering modules at undergraduate level in the topics of Circuit Design and Processor design such EEE2045 Electrical Science II and will lead on to EEEM059 Space Avionics

Expected prior learning:  Module EEE2042 – Electronic and Photonic Devices, or equivalent learning, is advisory but not required. Module purpose:  Semiconductor devices and optoelectronics play a major technology enabling amongst other things the internet. The course is given via a series of lectures and aims to give a background to the interaction of light with key photonic materials and devices. This module will introduce students to modern energy efficient electronic and photonic devices concentrating on the fundamental science of operation, device structure and characteristics.

Module purpose: Modern robotics brings together many aspects of engineering including electronics, hardware, software and AI. This leads to complex asynchronous systems that requires a systems engineering approach. The Robotics Operating System (ROS), is an extensive community built software suite that underpins most leading-edge robotics development. It provides extensive hardware interfacing and high-level functionality which allows complex systems engineering and control while abstracting away much of the complexity inherent to robotics systems design. This module will use ROS to provide a solid foundation in systems engineering based robotics.

Expected prior learning:  Module EEE3008–Fundamentals of Digital Signal Processing  or equivalent learning about signal processing. Module purpose:  The module discusses basic concepts, signal processing methods and human computer interaction applications of speech processing and recognition including auditory perception and psychoacoustics. You will be taught how to extract salient features from speech signals, how to design a model of spoken language, how to perform recognition and training, and given an insight into current research on spontaneous speech recognition, such as speaker adaptation and solutions for robustness to noise. Demonstrations, interesting illustrations and working examples will be given. Successful students can either proceed to do PhDs or get jobs in the R & D departments of industry, i.e. jobs that are at a higher level than mere software package operators. The presented techniques have many other applications beyond speech, including expert systems and financial modelling. Module EEEM030 contributes to the development of student’s knowledge in audio and speech processing and recognition, which may be useful for their taking of other modules such as: EEEM071 Advanced Topics in Computer Vision and Deep Learning EEEM004 60 Credit Standard Project EEEM005 AI and AI Programming EEEM066 Fundamentals of Machine Learning EEEM067 AR, VR and Metaverse EEEM068 Applied Machine Learning Module EEEM030 contributes to student knowledge in audio and speech processing and thus useful for students taking 60 credit project (EEEM004) related to audio and speech processing and recognition. EEEM030 is related to EEEM005, EEEM066 and EEEM068 due to the fact that machine learning/AI techniques are used for speech and speaker recognition, therefore, EEEM030 contributes to the development of student knowledge in machine learning/AI, which is beneficial for their taking of machine learning and AI related modules such as EEEM005, EEEM066 and EEEM068. One of the applications of audio and speech processing is to apply it to AR, VR and Metaverse for spatial sound production and reproduction which is a key enabling technology for AR, VR, and Metaverse, for virtual sound reproduction. Therefore, knowledge gained from EEEM030 would be useful for the taking of the module EEEM067. Module EEE030 also benefits from knowledge gained from other modules such as: EEE3008 Digital Signal Processing EEE1033 Computer and Digital Logic EEE1035 Programming  in C EEE3042 Audio and Video Processing EEE3032 Computer Vision and Pattern Recognition The modules EEE1033 and EEE1035 provide students with some useful skills in programming, which will be beneficial for them to complete the computer programming based coursework components, by turning the signal processing theories and methods into working program codes. The module EEE3008 provides students with knowledge and skills on fundamental digital signal processing skills which are essential in understanding the application of these skills to audio and speech data. EEE3042 covers both audio and video processing and coding, and the audio related materials are highly relevant and thus useful for the EEEM030 module. The pattern recognition skills gained from EEE3032 would be useful for understanding the use of pattern recognition algorithms to speech data for achieving speech and speaker recognition.  

Expected prior/parallel learning:   BEng-level understanding of digital telecommunications systems. MEng students might have partly acquired this through study of EEE3006 – Digital Communications. Module purpose: Satellite communications are an important component of modern telecommunication systems. This module provides the student with an overall understanding of satellite communication systems, technologies and techniques and equips him/her with the design tools to enter employment in the sector.   The main goal of this module is to design a satellite communication link to fix or mobile users given a specified quality of service (QoS). To do so, one needs to take into account both telecommunication and satellite related parameters. In this module, you will learn about the satellite payload and how it operates, what is in the earth station and what are the characteristics of the satellite to earth link. In particular, we clearly state the differences in design compared to the terrestrial communication systems We also study in some details the modern satellite networks and constellations. [EEE3006]: This module uses several techniques addressed in digital communications module such as coding and modulation. [EEEM032]: This module is a prerequisite for the advanced satellite communication techniques. [EEEM009],[EEEM059]: Even though other satellite applications such as earth observation or satellites for navigation and positioning are not addressed in this module, however, all such application will eventually need to stablish a communication line with earth. In this sense, this module is closely related to modules on space avionics and navigation, guidance and control.

Expected prior learning:  None specifically advised. Module purpose:  Earth and planetary observation with remote sensing data is playing a key role in the present understanding of natural phenomena, prevention of disasters, resources monitoring, comprehension of origins of life. Through a series of lectures, seminars, open discussions and “thinking breaks” in class, the module aims to give an introduction to the scientific principles of remote sensing – both passive and active – as carried out by spacecraft. Remote sensing is discussed in terms of instrumentation, missions, products and applications. IMPORTANT: The Second assessment pattern (Written Exam) is only applicable to the MSc Short Course Students.

IMPORTANT: The second assessment pattern is only applicable to the MSc Short Course Students Expected prior learning: EEE3033 – RF and Microwave Fundamentals, or equivalent learning. Module purpose: Advanced communications systems and radar operate at RF and microwave frequencies. The design principles and circuit operation, underlying these systems, are quite different from those of electronics used in signal processing at baseband frequencies. This module will cover the key elements of RF and microwave system design as well as analysis concepts for a range of commonly used active circuits, including: oscillators, frequency synthesisers, amplifiers and mixers. The module will also cover the circuit design and operation of non-linear devices used in active circuits together with deployment considerations. This module will include and build on many of the concepts studied in EEE3033 RF and Microwave Fundamentals and address further advanced features of non linear RF devices and system optimisation. It is complementary to EEEM064 Microwave Design Techniques and also EEEM006 Antennas and Propagation.

Expected prior learning:  None. Module purpose:  To inform students as to the importance of renewable energy in the energy mix required for generation within nations. This is now becoming law in developed countries following the Kyoto agreement and green energy obligations. Students will learn as to the various energy generation options available from power scavengers for handheld calculators to energy generation to power the world’s energy need. Furthermore, an appreciation for the need for energy storage at all power levels will be discussed, with special emphasis on the materials requirements. Students will be able to examine next generation materials being proposed for meeting world's demand based on green energy.  

Module purpose: This course offers an introduction to machine learning for those interested in the science and technology of Artificial Intelligence (AI). It provides background and the theory for building fundamental artificial systems that can process a variety of data and analyse their semantic information of interest. This is implemented by various fundamental learning algorithms that will be discussed and demonstrated in an easy-to-approach manner.

This module will introduce and explore the underlying concepts and technologies of virtual/augmented reality (VR/AR) and the emerging idea of the Metaverse. The module will also investigate the current and future challenges of the technologies and consider the impact it will have on industry and wider society.

Students in this module will learn about the different key concepts and elements comprising a wireless communication system, e.g. signal, transmitter, receiver, channel, as well as understand the primary objectives of communication systems, i.e. reliability and efficiency. They will do so by engaging with the various types of teaching materials presented to them as well as participating in our MATLAB lab sessions where they will be given the opportunity to analyse and simulate radio propagation behaviours/coverage via a state-of-the-art software platform as well as to model and simulate a simple wireless communication system.

Module purpose: Advances related to energy efficiency issues and cost reductions have resulted in the rapid growth and deployment of networked devices and sensing/actuation systems that connect the physical world with the cyber world. This evolving framework, now recognized as the Artificial Intelligence of Things (AIoT), integrates IoT technologies with artificial intelligence (AI) to enhance automation, intelligence, and decision-making. AIoT incorporates several cutting-edge technologies, including wireless sensor networks, pervasive systems, ambient intelligence, context awareness, distributed systems, and machine learning-driven analytics. Module Overview: The advanced AIoT module is designed to provide a comprehensive understanding of how machine communications , coupled with AI, contribute to creating smart artificial intelligence-driven environments, focusing on networking and communication systems. The module provides an overview of the key concepts and enabling technologies for AIoT. It encompasses a cross-layer approach, allowing students to explore the practical aspects of sensors, actuators, and mainly communication systems for AIoT across physical, media access, and network layers. This includes security considerations, satellite AIoT, positioning and tracking for industrial applications, AIoT Platforms (Hardware, Software), protocols and standards (e.g. 6LowPAN, ZigBee, CoAp), semantic technologies, and data and information processing mechanisms. Also, the module explores AI-driven methodologies such as ensemble learning, multi-armed bandits for sequential decision-making, and lightweight machine learning Mmodels for AIoT applications. These techniques enhance real-time data analysis, predictive maintenance, anomaly detection, and adaptive control while ensuring computational efficiency.

This module introduces students to some of the basic ideas and concepts that underlie the development of artificially intelligent machine systems. Teaches core AI materials for problem solving (search, logic, probabilistic methods, Perceptrons as the building block for ANNs) Focuses on core understanding and problem solving: suitable tools/methods for a problem using problem classes Provides a clear understanding of neural networks, back-propagation, RBFs, ANN learning and optimisation Provides a clear understanding of intelligent agents via search methods and introducing cost functions Provides a clear understanding of Bayes’ Rule, conditional probability and uncertainty reasoning Provides a clear understanding of knowledge capture, symbolic knowledge representation and logical reasoning from antiquity to Boule to first order predicate rules and representations. Provides opportunity to implement concepts during coursework.

Expected prior/parallel learning:  Students should have an interest in materials and devices; it would be of benefit to have studied EEE3037 Nanoscience and Nanotechnology. Module purpose:  Nanoelectronics represent the ultimate in advanced electronic device design and operation. At the nanoscale the quantum nature of matter is evident in the operation of faster, energy efficient devices with greater functionality. New materials, such as graphene and new molecular electronic materials, offer unique electronic properties which continually emerge in parallel to advances in device architecture and performance aligned to the International Roadmap for Devices and Systems. This module will introduce some of the key concepts in low dimensional mesoscopic science and engineering, and molecular electronics and associated devices. The module builds on materials seen earlier in the undergraduate programme such as in EEE2042 Electronic and Photonic Devices, EEE2045 Electrical Science II, EEE3037 Nanoscience and Nanotechnology and EEE3041 Semiconductor Devices and Optoelectronics.

Expected prior/parallel learning: This module covers advanced topics on satellite communications and networks, following the Satellite Communication fundamentals (EEEM031). An alternate module containing suitable prior learning is, Space System Design (EEE3040). Module purpose: This module covers advanced topics on satellite communications and networks. These networks are an important part of global information infrastructure providing broadcasting, mobile and broadband services to millions of homes and offices as well as disaster relieves and emergency communications services.

Expected Prior Learning: Module EEE3040 Space Systems Design, or equivalent module. Module Purpose: Through a series of lectures and a design assignment, the module aims to give an introduction to the engineering design principles, requirements and solutions for satellite avionics. This module builds on from many Electronic Engineering modules at undergraduate level in the topics of RF/Communications (EEE3033), Processor Design (EEE3027), and C coding Software (EEE1035 and EEE2047).

Expected prior learning: EEE3033–RF and Microwave Fundamentals, or equivalent learning. Module purpose: At Gigahertz frequencies the operating wavelength is small. Devices operating in the Gigahertz frequency range are therefore electrically large compared to the operating wavelength. In such cases, it is no longer appropriate to use traditional lumped element circuit components. The passive devices used at Gigahertz frequencies thus have to be made either using printed transmission lines (e.g. microstrip, coplanar waveguide) or waveguide. This module will present microwave design and analysis concepts for a range of commonly used passive circuits using both microstrip lines and waveguides, including: transmission lines, coupling networks, antennas and filters. This module will revisit and build on the use of the Smith chart also introduced in EEE3033 RF and Microwave Fundamentals and use it for further design applications of microstrip circuits. It is complementary to module EEEM044 RF Systems and Circuit Design and EEEM006 Antennas and Propagation.

Module purpose: This course offers an introduction to image processing and computer vision for those interested in the science and technology of machine vision. It provides background and the theory for building artificial systems that manipulate videos and images and alter or analyse their information content. This is done by various computer algorithms that are discussed, implemented and demonstrated.

Developing high-performance energy storage devices such as lithium-ion batteries could greatly promote the development of portable electronics, vehicle electrification and smart grid, alleviate environmental pollution and reduce our dependence on fossil fuels, addressing the “grand challenges” in the sustainability and resilience of environments. This module aims to introduce fundamental scientific, technological or engineering principles and technology applications of batteries used in different electrical systems. Students will learn as to the battery types, battery parts and how to test/monitor a battery. Battery performance requirement by electric vehicles, smart grids, next-generation electronics and electrical systems will also be covered in this module. The discussion of new materials goes beyond that found in EEE3037 Nanoscience and Nanotechnology.

Wireless networks (wide area cellular / satellite, local area residential / business, and ad-hoc / mesh) are an essential part of modern day communication / computing facilities. The network deployment, planning and management are the key issues ¿ all the network components must conform to the given hardware and software specifications in order that they can be interconnected and work successfully for the intended Quality of Service (QoS). This module introduces essential concepts about the network planning, network deployment and network management for a successful running of the network with a focus on software defined networking and virtualisation.

The purpose of this module is to equip students with advanced knowledge of key concepts in modern mobile and wireless communication systems, such as 5G, while also exploring emerging concepts that are likely to shape future technologies, including 6G. By completing this module, students will gain the expertise needed to work with wireless communications technologies in industry or to pursue further academic research in this field. The module bridges foundational knowledge in wireless communications with cutting-edge techniques and promising innovations that can enhance future communication systems, fostering cognitive and conceptual connections across these domains.