BEng (Hons) or MEng — 2026 entry Computer and Internet 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:  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: This module provides an introduction to the process of digital image formation in real and computer-generated imagery and builds up EEE1035 Programming in C. Mathematical methods used to represent cameras, scene geometry and lighting in both computer vision and graphics are covered. The course introduces both the theoretical concepts and practical implementation of three-dimensional computer graphics used in visual effects, games, and scientific visualisation. Practical implementation of computer graphics will be introduced using the OpenGL libraries which are widely used in industry. Some of the concepts developed in this module will be useful in other computer vision modules such as EEE3032 Computer Vision and Pattern Recognition.    

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

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

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

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

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

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

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

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

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

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.

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.

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

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

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

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

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

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

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

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

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