BEng (Hons) or MEng — 2025 entry Electrical and Electronic Engineering

The module offers an introduction to circuit theory and analogue electronics.

Expected prior learning: Mathematical knowledge at the level of entry requirements for a degree programme in Engineering. Module purpose: Mathematics is the best tool we have for quantitative understanding of engineering systems. This course in pure mathematics is specifically designed for Electronic Engineering students and covers the fundamental techniques for many future engineering courses taught here.

This course offers an introduction to the principles of digital logic covering both the theory (e.g. logical operators, their combination and simplification, and basic logic circuit arrangements such as counters & registers) and the practical implementation of logic flows within software.  The latter serves also as an introduction to the principles of programming through the Python language.

  The ability to use mathematics with confidence underpins a successful engineering degree. This module provides students with some of the basic understanding and skills in mathematics needed to follow a degree programme in modern engineering. The content is specifically related to topics associated with electronic engineering.  

To understand the physics and engineering that underpins the operation of semiconductor devices and to use this to understand the operation of simple bipolar devices and MOS transistors.   In addition to understand the effects electric and magnetic fields and their interaction with matter within the discipline of electronic engineering.

Module purpose: Programming is a key part of electronic engineering and the C programming language is at the heart of many embedded software systems. This module will provide the students with a solid practical knowledge of the C programming language, its relationship to the underlying hardware and aspects of both high level programming and low level manipulation of memory.

Expected prior learning:  Learning equivalent to Year 1 of EE Programmes. Module purpose:  This module is divided into two parts (Circuit & Control Systems and Communication Systems) each of which build on the concepts and tools introduced in Year 1.

Expected prior learning:  Mathematical experience equivalent to Year 1 of EE programmes or equivalent. Module purpose:   This module builds on the fundamental tools and concepts introduced in the mathematics modules in Year 1 (EEE1031 and EEE1032) and applies them to further engineering examples.  A broad range of mathematics topics is covered, and their applications are always borne in mind.  

Module purpose:  this module is organized into two parts that run concurrently. Part A introduces the students to microprocessors. This covers the key concepts in microprocessor organization and design; specifically for the instruction set, performance analysis, the arithmetic logic unit (ALU), and the processor control and data paths. Additionally, we explore common memory hierarchies and caching problems. In class problems are given as examples in design. Part B covers the analysis, design and implementation of computer algorithms. It presents concepts and methods for the analysis of algorithms. Classic programming techniques and data-structures needed to develop efficient algorithms in C for solving logical and data-handling problems are introduced, and students will attend programming lab sessions where they have the opportunity to implement in C the algorithms that have been covered. This module has strong connections with a number of modules within the curriculum. The module directly builds on the Year 1 modules which establish a foundation in programming (EEE1033 and EEE1035). This module uses C as the main programming language, thus providing continuity with the first year where it was introduced. The module also prepares students for subsequent modules. This includes the Year 2 Semester 2 modules concerned with object-oriented programming (EEE2047) and computer vision & graphics (EEE2041) as well as specialist modules in Year 3 such as Computer Vision and Pattern Recognition (EEE3032), Digital Design with VHDL (EEE3027), Robotics (EEE3243), etc.

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).

  All modern electronic devices make use of transistor technology and their future developments, via Moore’s Law and beyond, are fundamentally linked to device architecture. This module will introduce modern CMOS transistor structures and link to the operation for integrated circuits and modern memory devices. The module will also show how electric and magnetic fields can be unified within Maxwell’s equations to produce electromagnetic theory and solve common problems.

Expected prior learning: This module is a follow-up to some of the core professional development activities in Year 2. Module purpose:  This module is a professional development module that is compulsory on all undergraduate programmes. The module builds from the team projects performed as part of the professional studies components of the Year 1 and 2 Labs, Design and Professional Studies modules (EEE1026, EEE1027, EEE2036 and EEE2037). The module provides students with competences and hands-on experience of an extended project and professional practice in modern electrical, electronic and computer engineering. The module’s focus is a student-driven team-based product-design project that applies skills and practices addressed in the syllabus. In addition, it provides a skillset for successful management of individual projects, in particular the Year 3 project, and future group projects, such as the multi-disciplinary design project in MEng Year 4.

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: 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 aims to introduce the operating principles of electrical machines used in the power stations. Further this module will cover to a greater depth the concept of power transmission using interconnected grid systems, overhead and underground power transmission and distribution systems. This module is primarily intended for students on an Electrical engineering pathway but is widely available to students on other pathways so that they may get some exposure to the engineering achievement and challenges of large-scale electrical machines (generators, motors and transformers) and the operation of the power grid. Module EEE3038 Electrical Machines and Power module builds upon the electromagnetic theory covered in Level 5 module EEE2045 Electrical Science II. It shows how this leads to the design and understanding of the operation of large electrical (AC) machines – motors, generators and transformers. The module is complementary to the Level 6 module EEE3026 Power Electronics, which deals primarily with circuit level devices. Together, these modules provide a good understanding of AC electricity for students who wish to embark on a career in the electrical power industry. For students on the MEng electrical pathways, the material covered in these modules provides the fundamental knowledge required for the compulsory Level 7 modules: EEEM058 Renewable Energy Technologies and ENGM246 Wind Energy Technology. Students graduating from these programmes are well set up for careers in the burgeoning “green” industries.

The module offers an introduction to circuit theory and analogue electronics.

Expected prior learning: Mathematical knowledge at the level of entry requirements for a degree programme in Engineering. Module purpose: Mathematics is the best tool we have for quantitative understanding of engineering systems. This course in pure mathematics is specifically designed for Electronic Engineering students and covers the fundamental techniques for many future engineering courses taught here.

This course offers an introduction to the principles of digital logic covering both the theory (e.g. logical operators, their combination and simplification, and basic logic circuit arrangements such as counters & registers) and the practical implementation of logic flows within software.  The latter serves also as an introduction to the principles of programming through the Python language.

  The ability to use mathematics with confidence underpins a successful engineering degree. This module provides students with some of the basic understanding and skills in mathematics needed to follow a degree programme in modern engineering. The content is specifically related to topics associated with electronic engineering.  

To understand the physics and engineering that underpins the operation of semiconductor devices and to use this to understand the operation of simple bipolar devices and MOS transistors.   In addition to understand the effects electric and magnetic fields and their interaction with matter within the discipline of electronic engineering.

Module purpose: Programming is a key part of electronic engineering and the C programming language is at the heart of many embedded software systems. This module will provide the students with a solid practical knowledge of the C programming language, its relationship to the underlying hardware and aspects of both high level programming and low level manipulation of memory.

Expected prior learning:  Learning equivalent to Year 1 of EE Programmes. Module purpose:  This module is divided into two parts (Circuit & Control Systems and Communication Systems) each of which build on the concepts and tools introduced in Year 1.

Expected prior learning:  Mathematical experience equivalent to Year 1 of EE programmes or equivalent. Module purpose:   This module builds on the fundamental tools and concepts introduced in the mathematics modules in Year 1 (EEE1031 and EEE1032) and applies them to further engineering examples.  A broad range of mathematics topics is covered, and their applications are always borne in mind.  

Module purpose:  this module is organized into two parts that run concurrently. Part A introduces the students to microprocessors. This covers the key concepts in microprocessor organization and design; specifically for the instruction set, performance analysis, the arithmetic logic unit (ALU), and the processor control and data paths. Additionally, we explore common memory hierarchies and caching problems. In class problems are given as examples in design. Part B covers the analysis, design and implementation of computer algorithms. It presents concepts and methods for the analysis of algorithms. Classic programming techniques and data-structures needed to develop efficient algorithms in C for solving logical and data-handling problems are introduced, and students will attend programming lab sessions where they have the opportunity to implement in C the algorithms that have been covered. This module has strong connections with a number of modules within the curriculum. The module directly builds on the Year 1 modules which establish a foundation in programming (EEE1033 and EEE1035). This module uses C as the main programming language, thus providing continuity with the first year where it was introduced. The module also prepares students for subsequent modules. This includes the Year 2 Semester 2 modules concerned with object-oriented programming (EEE2047) and computer vision & graphics (EEE2041) as well as specialist modules in Year 3 such as Computer Vision and Pattern Recognition (EEE3032), Digital Design with VHDL (EEE3027), Robotics (EEE3243), etc.

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).

  All modern electronic devices make use of transistor technology and their future developments, via Moore’s Law and beyond, are fundamentally linked to device architecture. This module will introduce modern CMOS transistor structures and link to the operation for integrated circuits and modern memory devices. The module will also show how electric and magnetic fields can be unified within Maxwell’s equations to produce electromagnetic theory and solve common problems.

Expected prior learning: This module is a follow-up to some of the core professional development activities in Year 2. Module purpose:  This module is a professional development module that is compulsory on all undergraduate programmes. The module builds from the team projects performed as part of the professional studies components of the Year 1 and 2 Labs, Design and Professional Studies modules (EEE1026, EEE1027, EEE2036 and EEE2037). The module provides students with competences and hands-on experience of an extended project and professional practice in modern electrical, electronic and computer engineering. The module’s focus is a student-driven team-based product-design project that applies skills and practices addressed in the syllabus. In addition, it provides a skillset for successful management of individual projects, in particular the Year 3 project, and future group projects, such as the multi-disciplinary design project in MEng Year 4.

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: 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 aims to introduce the operating principles of electrical machines used in the power stations. Further this module will cover to a greater depth the concept of power transmission using interconnected grid systems, overhead and underground power transmission and distribution systems. This module is primarily intended for students on an Electrical engineering pathway but is widely available to students on other pathways so that they may get some exposure to the engineering achievement and challenges of large-scale electrical machines (generators, motors and transformers) and the operation of the power grid. Module EEE3038 Electrical Machines and Power module builds upon the electromagnetic theory covered in Level 5 module EEE2045 Electrical Science II. It shows how this leads to the design and understanding of the operation of large electrical (AC) machines – motors, generators and transformers. The module is complementary to the Level 6 module EEE3026 Power Electronics, which deals primarily with circuit level devices. Together, these modules provide a good understanding of AC electricity for students who wish to embark on a career in the electrical power industry. For students on the MEng electrical pathways, the material covered in these modules provides the fundamental knowledge required for the compulsory Level 7 modules: EEEM058 Renewable Energy Technologies and ENGM246 Wind Energy Technology. Students graduating from these programmes are well set up for careers in the burgeoning “green” industries.

This mathematics module is designed to reinforce and broaden basic A-Level mathematics material, develop problem solving skills and prepare students for the more advanced mathematical concepts and problem-solving scenarios in the semester 2 modules.The priority is to develop the students’ ability to solve real- world problems in a confident manner.  The concepts delivered on this module reflect the skills and knowledge required to understand the physical around us. This is vital as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate choices.

This module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include S.I. units and measurement theory, electric and magnetic fields and their interactions, the properties of ideal gases, heat transfer and thermodynamics, fluid statics and dynamics, and engineering instrumentation and measurement. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.

The emphasis of this module is on the development of digital capabilities, academic skills and problem-solving skills. The module will facilitate the development of competency in working with software commonly used to support calculations, analysis and presentation. Microsoft Excel will be used for spreadsheet-based calculations and experimental data analysis. MATLAB will be used as a platform for developing elementary programming skills and applying various processes to novel problem-solving scenarios. The breadth and depth of digital capabilities will be further enhanced by working with HTML, CSS and JavaScript within the GitHub environment to develop a webpage, presenting the student's research project narrative. The project provides students with an opportunity to carry out guided research and prepare an online article on one of many discipline-specific topic choices. Students will develop a wide range of writing, referencing and other important academic skills and learn how to use embedded and/or interactive online content to support the presentation of their online article.

This module builds on ENG0011 Mathematics A and is designed to reinforce and broaden A-Level Calculus, Vectors, Matrices and Complex Numbers. The students will continue to develop their ability to solve real- world problems in a confident manner.  The concepts delivered on this module reflect the skills and knowledge required to understand the physical world around us. This is vital, as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate courses. On completion of the module students are prepared for the more advanced Mathematical concepts and problem solving scenarios in the first year of their Engineering or Physical Sciences degree.

This module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include vectors and scalars, equations of motion under constant acceleration, momentum conservation, simple harmonic motion and wave theory. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.

A foundation level physics module designed to reinforce and broaden basic A-Level Physics material in electricity and electronics, nuclear physics, develop practical skills, and prepare students for the more advanced concepts and applications in the first year of their Engineering or Physical Sciences degree. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported using the university’s virtual learning platform.

During this year-long module, students develop a range of laboratory and transferable skills through both individual laboratory work and group project work. The content of this module is designed to consolidate knowledge gained in ENG0013 (semester 1) and ENG0015/16/17 (semester 2) modules.   Semester 1 focuses on core Engineering and Physical Sciences laboratory work and guides students through the basic skills of laboratory work, recording work in a lab diary, and lab report writing. Alongside this individual laboratory work, students participate in a group project; this involves working in a small group (5-8 students) to design an experiment, collect data, present their experimental findings as an academic poster, and report their findings to peers via a group oral presentation. Students are guided through the development of teamworking, project management, presentation, and digital skills (e.g., in using MS Teams as a group communication platform) whilst working on this project.   Semester 2 provides an opportunity for subject-stream specific practical work (individual) where students will build on the laboratory and lab report writing skills developed in semester 1 to produce a full lab report. Students participate in a further group project in semester 2 where they build upon the skills developed in semester 1.  Students work as a team to find and develop an engineering / physical sciences idea into a potentially viable business case.  Student groups produce a written business case report and pitch their ideas to a panel including University Student Enterprise experts.

This mathematics module is designed to reinforce and broaden basic A-Level mathematics material, develop problem solving skills and prepare students for the more advanced mathematical concepts and problem-solving scenarios in the semester 2 modules.The priority is to develop the students’ ability to solve real- world problems in a confident manner.  The concepts delivered on this module reflect the skills and knowledge required to understand the physical around us. This is vital as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate choices.

This module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include S.I. units and measurement theory, electric and magnetic fields and their interactions, the properties of ideal gases, heat transfer and thermodynamics, fluid statics and dynamics, and engineering instrumentation and measurement. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.

The emphasis of this module is on the development of digital capabilities, academic skills and problem-solving skills. The module will facilitate the development of competency in working with software commonly used to support calculations, analysis and presentation. Microsoft Excel will be used for spreadsheet-based calculations and experimental data analysis. MATLAB will be used as a platform for developing elementary programming skills and applying various processes to novel problem-solving scenarios. The breadth and depth of digital capabilities will be further enhanced by working with HTML, CSS and JavaScript within the GitHub environment to develop a webpage, presenting the student's research project narrative. The project provides students with an opportunity to carry out guided research and prepare an online article on one of many discipline-specific topic choices. Students will develop a wide range of writing, referencing and other important academic skills and learn how to use embedded and/or interactive online content to support the presentation of their online article.

This module builds on ENG0011 Mathematics A and is designed to reinforce and broaden A-Level Calculus, Vectors, Matrices and Complex Numbers. The students will continue to develop their ability to solve real- world problems in a confident manner.  The concepts delivered on this module reflect the skills and knowledge required to understand the physical world around us. This is vital, as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate courses. On completion of the module students are prepared for the more advanced Mathematical concepts and problem solving scenarios in the first year of their Engineering or Physical Sciences degree.

This module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include vectors and scalars, equations of motion under constant acceleration, momentum conservation, simple harmonic motion and wave theory. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.

A foundation level physics module designed to reinforce and broaden basic A-Level Physics material in electricity and electronics, nuclear physics, develop practical skills, and prepare students for the more advanced concepts and applications in the first year of their Engineering or Physical Sciences degree. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported using the university’s virtual learning platform.

During this year-long module, students develop a range of laboratory and transferable skills through both individual laboratory work and group project work. The content of this module is designed to consolidate knowledge gained in ENG0013 (semester 1) and ENG0015/16/17 (semester 2) modules.   Semester 1 focuses on core Engineering and Physical Sciences laboratory work and guides students through the basic skills of laboratory work, recording work in a lab diary, and lab report writing. Alongside this individual laboratory work, students participate in a group project; this involves working in a small group (5-8 students) to design an experiment, collect data, present their experimental findings as an academic poster, and report their findings to peers via a group oral presentation. Students are guided through the development of teamworking, project management, presentation, and digital skills (e.g., in using MS Teams as a group communication platform) whilst working on this project.   Semester 2 provides an opportunity for subject-stream specific practical work (individual) where students will build on the laboratory and lab report writing skills developed in semester 1 to produce a full lab report. Students participate in a further group project in semester 2 where they build upon the skills developed in semester 1.  Students work as a team to find and develop an engineering / physical sciences idea into a potentially viable business case.  Student groups produce a written business case report and pitch their ideas to a panel including University Student Enterprise experts.

The module offers an introduction to circuit theory and analogue electronics.

Expected prior learning: Mathematical knowledge at the level of entry requirements for a degree programme in Engineering. Module purpose: Mathematics is the best tool we have for quantitative understanding of engineering systems. This course in pure mathematics is specifically designed for Electronic Engineering students and covers the fundamental techniques for many future engineering courses taught here.

This course offers an introduction to the principles of digital logic covering both the theory (e.g. logical operators, their combination and simplification, and basic logic circuit arrangements such as counters & registers) and the practical implementation of logic flows within software.  The latter serves also as an introduction to the principles of programming through the Python language.

  The ability to use mathematics with confidence underpins a successful engineering degree. This module provides students with some of the basic understanding and skills in mathematics needed to follow a degree programme in modern engineering. The content is specifically related to topics associated with electronic engineering.  

To understand the physics and engineering that underpins the operation of semiconductor devices and to use this to understand the operation of simple bipolar devices and MOS transistors.   In addition to understand the effects electric and magnetic fields and their interaction with matter within the discipline of electronic engineering.

Module purpose: Programming is a key part of electronic engineering and the C programming language is at the heart of many embedded software systems. This module will provide the students with a solid practical knowledge of the C programming language, its relationship to the underlying hardware and aspects of both high level programming and low level manipulation of memory.

Expected prior learning:  Learning equivalent to Year 1 of EE Programmes. Module purpose:  This module is divided into two parts (Circuit & Control Systems and Communication Systems) each of which build on the concepts and tools introduced in Year 1.

Expected prior learning:  Mathematical experience equivalent to Year 1 of EE programmes or equivalent. Module purpose:   This module builds on the fundamental tools and concepts introduced in the mathematics modules in Year 1 (EEE1031 and EEE1032) and applies them to further engineering examples.  A broad range of mathematics topics is covered, and their applications are always borne in mind.  

Module purpose:  this module is organized into two parts that run concurrently. Part A introduces the students to microprocessors. This covers the key concepts in microprocessor organization and design; specifically for the instruction set, performance analysis, the arithmetic logic unit (ALU), and the processor control and data paths. Additionally, we explore common memory hierarchies and caching problems. In class problems are given as examples in design. Part B covers the analysis, design and implementation of computer algorithms. It presents concepts and methods for the analysis of algorithms. Classic programming techniques and data-structures needed to develop efficient algorithms in C for solving logical and data-handling problems are introduced, and students will attend programming lab sessions where they have the opportunity to implement in C the algorithms that have been covered. This module has strong connections with a number of modules within the curriculum. The module directly builds on the Year 1 modules which establish a foundation in programming (EEE1033 and EEE1035). This module uses C as the main programming language, thus providing continuity with the first year where it was introduced. The module also prepares students for subsequent modules. This includes the Year 2 Semester 2 modules concerned with object-oriented programming (EEE2047) and computer vision & graphics (EEE2041) as well as specialist modules in Year 3 such as Computer Vision and Pattern Recognition (EEE3032), Digital Design with VHDL (EEE3027), Robotics (EEE3243), etc.

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).

  All modern electronic devices make use of transistor technology and their future developments, via Moore’s Law and beyond, are fundamentally linked to device architecture. This module will introduce modern CMOS transistor structures and link to the operation for integrated circuits and modern memory devices. The module will also show how electric and magnetic fields can be unified within Maxwell’s equations to produce electromagnetic theory and solve common problems.

Expected prior learning: This module is a follow-up to some of the core professional development activities in Year 2. Module purpose:  This module is a professional development module that is compulsory on all undergraduate programmes. The module builds from the team projects performed as part of the professional studies components of the Year 1 and 2 Labs, Design and Professional Studies modules (EEE1026, EEE1027, EEE2036 and EEE2037). The module provides students with competences and hands-on experience of an extended project and professional practice in modern electrical, electronic and computer engineering. The module’s focus is a student-driven team-based product-design project that applies skills and practices addressed in the syllabus. In addition, it provides a skillset for successful management of individual projects, in particular the Year 3 project, and future group projects, such as the multi-disciplinary design project in MEng Year 4.

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: 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 aims to introduce the operating principles of electrical machines used in the power stations. Further this module will cover to a greater depth the concept of power transmission using interconnected grid systems, overhead and underground power transmission and distribution systems. This module is primarily intended for students on an Electrical engineering pathway but is widely available to students on other pathways so that they may get some exposure to the engineering achievement and challenges of large-scale electrical machines (generators, motors and transformers) and the operation of the power grid. Module EEE3038 Electrical Machines and Power module builds upon the electromagnetic theory covered in Level 5 module EEE2045 Electrical Science II. It shows how this leads to the design and understanding of the operation of large electrical (AC) machines – motors, generators and transformers. The module is complementary to the Level 6 module EEE3026 Power Electronics, which deals primarily with circuit level devices. Together, these modules provide a good understanding of AC electricity for students who wish to embark on a career in the electrical power industry. For students on the MEng electrical pathways, the material covered in these modules provides the fundamental knowledge required for the compulsory Level 7 modules: EEEM058 Renewable Energy Technologies and ENGM246 Wind Energy Technology. Students graduating from these programmes are well set up for careers in the burgeoning “green” industries.

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.  

Wind energy is an emerging renewable technology that has received wide attention in the context of dealing with global energy demand and sustainable development. It is a broad subject encompassing several branches of science and engineering. This module is to introduce the concept, technical approaches, and the practical aspects in applications. 

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.

The module offers an introduction to circuit theory and analogue electronics.

Expected prior learning: Mathematical knowledge at the level of entry requirements for a degree programme in Engineering. Module purpose: Mathematics is the best tool we have for quantitative understanding of engineering systems. This course in pure mathematics is specifically designed for Electronic Engineering students and covers the fundamental techniques for many future engineering courses taught here.

This course offers an introduction to the principles of digital logic covering both the theory (e.g. logical operators, their combination and simplification, and basic logic circuit arrangements such as counters & registers) and the practical implementation of logic flows within software.  The latter serves also as an introduction to the principles of programming through the Python language.

  The ability to use mathematics with confidence underpins a successful engineering degree. This module provides students with some of the basic understanding and skills in mathematics needed to follow a degree programme in modern engineering. The content is specifically related to topics associated with electronic engineering.  

To understand the physics and engineering that underpins the operation of semiconductor devices and to use this to understand the operation of simple bipolar devices and MOS transistors.   In addition to understand the effects electric and magnetic fields and their interaction with matter within the discipline of electronic engineering.

Module purpose: Programming is a key part of electronic engineering and the C programming language is at the heart of many embedded software systems. This module will provide the students with a solid practical knowledge of the C programming language, its relationship to the underlying hardware and aspects of both high level programming and low level manipulation of memory.

Expected prior learning:  Learning equivalent to Year 1 of EE Programmes. Module purpose:  This module is divided into two parts (Circuit & Control Systems and Communication Systems) each of which build on the concepts and tools introduced in Year 1.

Expected prior learning:  Mathematical experience equivalent to Year 1 of EE programmes or equivalent. Module purpose:   This module builds on the fundamental tools and concepts introduced in the mathematics modules in Year 1 (EEE1031 and EEE1032) and applies them to further engineering examples.  A broad range of mathematics topics is covered, and their applications are always borne in mind.  

Module purpose:  this module is organized into two parts that run concurrently. Part A introduces the students to microprocessors. This covers the key concepts in microprocessor organization and design; specifically for the instruction set, performance analysis, the arithmetic logic unit (ALU), and the processor control and data paths. Additionally, we explore common memory hierarchies and caching problems. In class problems are given as examples in design. Part B covers the analysis, design and implementation of computer algorithms. It presents concepts and methods for the analysis of algorithms. Classic programming techniques and data-structures needed to develop efficient algorithms in C for solving logical and data-handling problems are introduced, and students will attend programming lab sessions where they have the opportunity to implement in C the algorithms that have been covered. This module has strong connections with a number of modules within the curriculum. The module directly builds on the Year 1 modules which establish a foundation in programming (EEE1033 and EEE1035). This module uses C as the main programming language, thus providing continuity with the first year where it was introduced. The module also prepares students for subsequent modules. This includes the Year 2 Semester 2 modules concerned with object-oriented programming (EEE2047) and computer vision & graphics (EEE2041) as well as specialist modules in Year 3 such as Computer Vision and Pattern Recognition (EEE3032), Digital Design with VHDL (EEE3027), Robotics (EEE3243), etc.

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).

  All modern electronic devices make use of transistor technology and their future developments, via Moore’s Law and beyond, are fundamentally linked to device architecture. This module will introduce modern CMOS transistor structures and link to the operation for integrated circuits and modern memory devices. The module will also show how electric and magnetic fields can be unified within Maxwell’s equations to produce electromagnetic theory and solve common problems.

Expected prior learning: This module is a follow-up to some of the core professional development activities in Year 2. Module purpose:  This module is a professional development module that is compulsory on all undergraduate programmes. The module builds from the team projects performed as part of the professional studies components of the Year 1 and 2 Labs, Design and Professional Studies modules (EEE1026, EEE1027, EEE2036 and EEE2037). The module provides students with competences and hands-on experience of an extended project and professional practice in modern electrical, electronic and computer engineering. The module’s focus is a student-driven team-based product-design project that applies skills and practices addressed in the syllabus. In addition, it provides a skillset for successful management of individual projects, in particular the Year 3 project, and future group projects, such as the multi-disciplinary design project in MEng Year 4.

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: 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 aims to introduce the operating principles of electrical machines used in the power stations. Further this module will cover to a greater depth the concept of power transmission using interconnected grid systems, overhead and underground power transmission and distribution systems. This module is primarily intended for students on an Electrical engineering pathway but is widely available to students on other pathways so that they may get some exposure to the engineering achievement and challenges of large-scale electrical machines (generators, motors and transformers) and the operation of the power grid. Module EEE3038 Electrical Machines and Power module builds upon the electromagnetic theory covered in Level 5 module EEE2045 Electrical Science II. It shows how this leads to the design and understanding of the operation of large electrical (AC) machines – motors, generators and transformers. The module is complementary to the Level 6 module EEE3026 Power Electronics, which deals primarily with circuit level devices. Together, these modules provide a good understanding of AC electricity for students who wish to embark on a career in the electrical power industry. For students on the MEng electrical pathways, the material covered in these modules provides the fundamental knowledge required for the compulsory Level 7 modules: EEEM058 Renewable Energy Technologies and ENGM246 Wind Energy Technology. Students graduating from these programmes are well set up for careers in the burgeoning “green” industries.

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.  

Wind energy is an emerging renewable technology that has received wide attention in the context of dealing with global energy demand and sustainable development. It is a broad subject encompassing several branches of science and engineering. This module is to introduce the concept, technical approaches, and the practical aspects in applications. 

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.