BEng (Hons) or MEng — 2026 entry Astronautics and Space 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 of EE Programmes. Module purpose:  Space engineering provides a foundation for human access and utilization of space and has shown growing importance to global economy. The module offers basics of space engineering and mission design. Students will obtain an introduction on mission analysis and design tools, instrumentation and space technologies. For those students on the undergraduate “space” pathways, the module acts as an introduction to the space engineering and mission design, and the themes are picked up in the compulsory Level 6 modules: EEE3040 Space Engineering and EEE3039 Space Dynamics and Missions, where they are examined in more detail. These modules, together, provide the background and context for the detailed individual Level 7 modules concerning different aspects, systems and applications of spacecraft: e.g. EEEM044 RF Systems and Circuit Design; EEM031 Satellite Communications Fundamentals; EEEM033 Satellite Remote Sensing; EEEM059 Space Avionics;.EEEM009 Advanced Guidance, Navigation and Control; EEEM032 Advanced Satellite Communications Techniques; EEEM012 Launch Vehicles and Propulsion; and EEEM057 Space Environment and Protection. Students may choose their own selection from these advanced Level 7 modules, according to their interests or future career choices.  

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

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 are expected to be familiar with the module contents of EEE1031, EEE1032, EEE2035 and equivalent. Students are also expected to be familiar with the basic principles of computer programming such as the writing of a function, for/while loops, if/else statements. It is helpful, but not essential, to have studied module EEE2043 – Space Engineering and Mission Design or to have equivalent learning. Student Journey: This module applies Engineering Mathematics concepts introduced in year 1 and 2 to the motion of objects in space. Combined with EEEM009 - Advanced Guidance Navigation & Control, which builds upon EEE3039 concepts to present students with a more in-depth overview of space-related hardware and software, EEE3039 aims at laying out the foundation for describing, predicting, and controlling the motion of objects in Space (both in terms of spacecraft position and orientation with respect to suitable reference frames). Module purpose:  This module gives a hands-on approach to mission analysis and develops mathematical descriptions of the natural orbital and rotational motions of spacecraft.  Material is delivered through a series of lectures, group problem solving and assessed assignments. The application to mission design is explored through group work and coding assignments.  

Expected prior learning: Good background in physics including forces and motion, heat and light, and electricity and magnetism as might have been acquired at A/AS level or International Baccalaureate Physics. It is also useful to have some knowledge of typical space missions: BEng/MEng students might have acquired this through the EEE2043 – Space Engineering & Mission Design module. Module purpose:  This is a key module for students interested in becoming space systems engineers, or in working in a related field. It introduces the student to the key principles and techniques of spacecraft systems design, through real-world examples. The student journey: For those students on the undergraduate “space” pathways, the compulsory Level 6 modules: EEE3040 Space Engineering and EEE3039 Space Dynamics and Missions, build upon the Level 5 Module EEE2043 Space Engineering and Mission Design, but provide a more detailed examination of the material. For students coming in on the MSc space pathway, EE3040 provides a first introduction to space systems design – therefore no prior knowledge of space is expected, however, a good understanding of basic physics and mathematics (to “A” level or first year undergraduate level or equivalent) is assumed. These modules, together, provide the background and context for the detailed individual Level 7 modules concerning different aspects, systems and applications of spacecraft: e.g. EEEM044 RF Systems and Circuit Design; EEM031 Satellite Communications Fundamentals; EEEM033 Satellite Remote Sensing; EEEM059 Space Avionics;.EEEM009 Advanced Guidance, Navigation and Control; EEEM032 Advanced Satellite Communications Techniques; EEEM012 Launch Vehicles and Propulsion; EEEM M057 Space Environment and Protection and EEEM049 Spacecraft Structures and Mechanisms. Students may choose their own selection from these advanced Level 7 modules, according to their interests or future career choices.

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

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

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 are expected to be familiar with the module contents of EEE1031, EEE1032, EEE2035 and equivalent. Students are also expected to be familiar with the basic principles of computer programming such as the writing of a function, for/while loops, if/else statements. It is helpful, but not essential, to have studied module EEE2043 – Space Engineering and Mission Design or to have equivalent learning. Student Journey: This module applies Engineering Mathematics concepts introduced in year 1 and 2 to the motion of objects in space. Combined with EEEM009 - Advanced Guidance Navigation & Control, which builds upon EEE3039 concepts to present students with a more in-depth overview of space-related hardware and software, EEE3039 aims at laying out the foundation for describing, predicting, and controlling the motion of objects in Space (both in terms of spacecraft position and orientation with respect to suitable reference frames). Module purpose:  This module gives a hands-on approach to mission analysis and develops mathematical descriptions of the natural orbital and rotational motions of spacecraft.  Material is delivered through a series of lectures, group problem solving and assessed assignments. The application to mission design is explored through group work and coding assignments.  

Expected prior learning: Good background in physics including forces and motion, heat and light, and electricity and magnetism as might have been acquired at A/AS level or International Baccalaureate Physics. It is also useful to have some knowledge of typical space missions: BEng/MEng students might have acquired this through the EEE2043 – Space Engineering & Mission Design module. Module purpose:  This is a key module for students interested in becoming space systems engineers, or in working in a related field. It introduces the student to the key principles and techniques of spacecraft systems design, through real-world examples. The student journey: For those students on the undergraduate “space” pathways, the compulsory Level 6 modules: EEE3040 Space Engineering and EEE3039 Space Dynamics and Missions, build upon the Level 5 Module EEE2043 Space Engineering and Mission Design, but provide a more detailed examination of the material. For students coming in on the MSc space pathway, EE3040 provides a first introduction to space systems design – therefore no prior knowledge of space is expected, however, a good understanding of basic physics and mathematics (to “A” level or first year undergraduate level or equivalent) is assumed. These modules, together, provide the background and context for the detailed individual Level 7 modules concerning different aspects, systems and applications of spacecraft: e.g. EEEM044 RF Systems and Circuit Design; EEM031 Satellite Communications Fundamentals; EEEM033 Satellite Remote Sensing; EEEM059 Space Avionics;.EEEM009 Advanced Guidance, Navigation and Control; EEEM032 Advanced Satellite Communications Techniques; EEEM012 Launch Vehicles and Propulsion; EEEM M057 Space Environment and Protection and EEEM049 Spacecraft Structures and Mechanisms. Students may choose their own selection from these advanced Level 7 modules, according to their interests or future career choices.

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

  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 are expected to be familiar with the module contents of EEE1031, EEE1032, EEE2035 and equivalent. Students are also expected to be familiar with the basic principles of computer programming such as the writing of a function, for/while loops, if/else statements. It is helpful, but not essential, to have studied module EEE2043 – Space Engineering and Mission Design or to have equivalent learning. Student Journey: This module applies Engineering Mathematics concepts introduced in year 1 and 2 to the motion of objects in space. Combined with EEEM009 - Advanced Guidance Navigation & Control, which builds upon EEE3039 concepts to present students with a more in-depth overview of space-related hardware and software, EEE3039 aims at laying out the foundation for describing, predicting, and controlling the motion of objects in Space (both in terms of spacecraft position and orientation with respect to suitable reference frames). Module purpose:  This module gives a hands-on approach to mission analysis and develops mathematical descriptions of the natural orbital and rotational motions of spacecraft.  Material is delivered through a series of lectures, group problem solving and assessed assignments. The application to mission design is explored through group work and coding assignments.  

Expected prior learning: Good background in physics including forces and motion, heat and light, and electricity and magnetism as might have been acquired at A/AS level or International Baccalaureate Physics. It is also useful to have some knowledge of typical space missions: BEng/MEng students might have acquired this through the EEE2043 – Space Engineering & Mission Design module. Module purpose:  This is a key module for students interested in becoming space systems engineers, or in working in a related field. It introduces the student to the key principles and techniques of spacecraft systems design, through real-world examples. The student journey: For those students on the undergraduate “space” pathways, the compulsory Level 6 modules: EEE3040 Space Engineering and EEE3039 Space Dynamics and Missions, build upon the Level 5 Module EEE2043 Space Engineering and Mission Design, but provide a more detailed examination of the material. For students coming in on the MSc space pathway, EE3040 provides a first introduction to space systems design – therefore no prior knowledge of space is expected, however, a good understanding of basic physics and mathematics (to “A” level or first year undergraduate level or equivalent) is assumed. These modules, together, provide the background and context for the detailed individual Level 7 modules concerning different aspects, systems and applications of spacecraft: e.g. EEEM044 RF Systems and Circuit Design; EEM031 Satellite Communications Fundamentals; EEEM033 Satellite Remote Sensing; EEEM059 Space Avionics;.EEEM009 Advanced Guidance, Navigation and Control; EEEM032 Advanced Satellite Communications Techniques; EEEM012 Launch Vehicles and Propulsion; EEEM M057 Space Environment and Protection and EEEM049 Spacecraft Structures and Mechanisms. Students may choose their own selection from these advanced Level 7 modules, according to their interests or future career choices.

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

  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 are expected to be familiar with the module contents of EEE1031, EEE1032, EEE2035 and equivalent. Students are also expected to be familiar with the basic principles of computer programming such as the writing of a function, for/while loops, if/else statements. It is helpful, but not essential, to have studied module EEE2043 – Space Engineering and Mission Design or to have equivalent learning. Student Journey: This module applies Engineering Mathematics concepts introduced in year 1 and 2 to the motion of objects in space. Combined with EEEM009 - Advanced Guidance Navigation & Control, which builds upon EEE3039 concepts to present students with a more in-depth overview of space-related hardware and software, EEE3039 aims at laying out the foundation for describing, predicting, and controlling the motion of objects in Space (both in terms of spacecraft position and orientation with respect to suitable reference frames). Module purpose:  This module gives a hands-on approach to mission analysis and develops mathematical descriptions of the natural orbital and rotational motions of spacecraft.  Material is delivered through a series of lectures, group problem solving and assessed assignments. The application to mission design is explored through group work and coding assignments.  

Expected prior learning: Good background in physics including forces and motion, heat and light, and electricity and magnetism as might have been acquired at A/AS level or International Baccalaureate Physics. It is also useful to have some knowledge of typical space missions: BEng/MEng students might have acquired this through the EEE2043 – Space Engineering & Mission Design module. Module purpose:  This is a key module for students interested in becoming space systems engineers, or in working in a related field. It introduces the student to the key principles and techniques of spacecraft systems design, through real-world examples. The student journey: For those students on the undergraduate “space” pathways, the compulsory Level 6 modules: EEE3040 Space Engineering and EEE3039 Space Dynamics and Missions, build upon the Level 5 Module EEE2043 Space Engineering and Mission Design, but provide a more detailed examination of the material. For students coming in on the MSc space pathway, EE3040 provides a first introduction to space systems design – therefore no prior knowledge of space is expected, however, a good understanding of basic physics and mathematics (to “A” level or first year undergraduate level or equivalent) is assumed. These modules, together, provide the background and context for the detailed individual Level 7 modules concerning different aspects, systems and applications of spacecraft: e.g. EEEM044 RF Systems and Circuit Design; EEM031 Satellite Communications Fundamentals; EEEM033 Satellite Remote Sensing; EEEM059 Space Avionics;.EEEM009 Advanced Guidance, Navigation and Control; EEEM032 Advanced Satellite Communications Techniques; EEEM012 Launch Vehicles and Propulsion; EEEM M057 Space Environment and Protection and EEEM049 Spacecraft Structures and Mechanisms. Students may choose their own selection from these advanced Level 7 modules, according to their interests or future career choices.