BEng (Hons) or MEng — 2025 entry Electronic Engineering with Nanotechnology

Expected prior learning: None. Module purpose: 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.

Expected prior learning:  None specifically advised. Module purpose:  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.

 Expected prior learning: Learning equivalent to modules studied in Year 1, Semester 1. Module purpose: 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.  

Expected prior learning: None. Module purpose: 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).

Expected prior/parallel learning: None Module purpose: 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:  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 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.

Expected prior learning: None. Module purpose: 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.

Expected prior learning:  None specifically advised. Module purpose:  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.

 Expected prior learning: Learning equivalent to modules studied in Year 1, Semester 1. Module purpose: 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.  

Expected prior learning: None. Module purpose: 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).

Expected prior/parallel learning: None Module purpose: 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:  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 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.

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.

Expected prior learning: None. Module purpose: 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.

Expected prior learning:  None specifically advised. Module purpose:  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.

 Expected prior learning: Learning equivalent to modules studied in Year 1, Semester 1. Module purpose: 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.  

Expected prior learning: None. Module purpose: 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).

Expected prior/parallel learning: None Module purpose: 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:  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 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.

Expected prior learning: Students should have an interest in practical aspects of experimental methods in nanotechnology applications. Module purpose: This module provides students with an introduction to some of the most widely used experimental techniques and skills in engineering applications that leverage phenomena on the nanoscale, from characterising new solar cells to measuring the morphology and properties of thin layers down to single-sheet 2D materials. The module introduces students to key transferrable research skills, building confidence and competence in how to use statistical analytical tools to design experiments and significantly reduce the number of redundant experiments in quality assurance of manufacturing processes, improving their resilience and sustainability. EEEM050 complements fundamental aspects of nanoengineering taught in parallel in EEE3037 and provides essential learning for experimental project dissertations in EEEM004.

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.

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.

Expected prior learning: None. Module purpose: 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.

Expected prior learning:  None specifically advised. Module purpose:  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.

 Expected prior learning: Learning equivalent to modules studied in Year 1, Semester 1. Module purpose: 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.  

Expected prior learning: None. Module purpose: 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).

Expected prior/parallel learning: None Module purpose: 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:  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 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.

Expected prior learning: Students should have an interest in practical aspects of experimental methods in nanotechnology applications. Module purpose: This module provides students with an introduction to some of the most widely used experimental techniques and skills in engineering applications that leverage phenomena on the nanoscale, from characterising new solar cells to measuring the morphology and properties of thin layers down to single-sheet 2D materials. The module introduces students to key transferrable research skills, building confidence and competence in how to use statistical analytical tools to design experiments and significantly reduce the number of redundant experiments in quality assurance of manufacturing processes, improving their resilience and sustainability. EEEM050 complements fundamental aspects of nanoengineering taught in parallel in EEE3037 and provides essential learning for experimental project dissertations in EEEM004.

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.