Electronic Engineering with Artificial Intelligence BEng (Hons) or MEng — 2027 entry

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

This module introduces the principles and operation of digital logic systems, along with the tools and techniques used for their design and analysis, illustrated through real-world applications. It addresses both theoretical concepts such as logical operators, their combination and simplification, and circuit arrangements such as counters and registers, and the practical implementation of logic flows using software. The practical component also serves as an introduction to programming fundamentals through the Python language.

Mathematics is the best tool we have to gain a quantitative understanding of engineering sciences. This module is designed briefly to revise and then to extend A-level Mathematics material, and to introduce students to mathematical techniques to support future engineering modules.

Expected prior learning:  None. Module purpose:  Working individually or in groups on engineering projects requires a wide range of professional and technical skills. This module helps first year students develop skills in research and technical presentation, along with the practical laboratory skills required by the professional engineer.  Both units of assessment must be passed individually.  No compensation is allowed for this module. This module is the first module a student will encounter within the Laboratory, Design and Professional Studies group of modules in Year 1 (EEE1027 in semester 1 and EEE1028 in semester 2), in Year 2 (EEE2036 in semester 1 and EEE2037 in semester 2) and EEE3035 in year 3.

Mathematics is an essential tool to understand and solve real-world engineering problems. This module builds on the mathematical foundations from MAT1044 Engineering Mathematics to introduce and explore more advanced mathematical concepts and methods relevant to a wide range of electronic engineering applications. 

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.

This module is the second module a student will encounter within the Laboratory, Design and Professional Studies group of modules. In builds upon EEE1027 in semester 1 and sees the introduction of project work alongside experiment. In subsequent years students building on their labs, design and professional studies work in Year 2 (EEE2036 in semester 1 and EEE2037 in semester 2) and EEE3035 in year 3.  Working individually or in groups on technical engineering projects requires a wide range of professional skills. Linking the laboratory work closely with professional development stresses the importance of developing an integrated portfolio of project skills. Both units of assessment must be passed individually. No compensation is allowed for this module.    

This module builds on the fundamental tools and concepts introduced in the Year 1 mathematics modules MAT1044 Engineering Mathematics and EEE1032 Mathematics II: Engineering Mathematics. A broad range of mathematical topics are covered with applications to problems in electronic engineering.

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.

Computers have become commonplace in many areas of our lives and are able to accomplish many things that humans would find difficult, if not impossible, to do by their own unaided efforts. Whilst computers can perform many calculations in a very short time they generally do not possess the ability to learn or to reason about novel situations or to process incomplete or uncertain data. They will need knowledge of the environment in which they operate so that they can understand what their sensors are monitoring and so that they can behave rationally. This module demonstrates the basic principles and methods of Artificial Intelligence (AI) and provides the basis for understanding and later choosing the correct tools for building such systems. Applications that motivate the development of Artificial Intelligence technology include intelligent robots, automated navigation for autonomous vehicles, object recognition and tracking, medical diagnosis, language communications and many others. Any application that requires human-like intelligence is an application for Artificial Intelligence.  

Expected prior learning: Learning equivalent to Year 1 of EE UG Programmes or equivalent Module purpose: Hands-on experimental skills, professional skills, and enterprise skills are important to today’s electronic engineers. This module helps the students to develop these skills by offering them laboratory-based experiments, team design projects and professional studies on transferrable skills. These activities are based on either individual or teamwork.

In recent years, AI has seen tremendous growth due in large part to more powerful computers, larger scale data and techniques to establish comprehensive framework through deeper neural networks. This module introduces a wide range of deep learning and the latest state of art techniques in AI for serving the world through innovation, understanding and compassion. Fundamental concepts on applied maths and establishment on effective learning objectives that thread through key elements in machine learning techniques will be discussed throughout the module. Students will study how to build suitable AI systems that can operate in complicated, real-world environments. The module also prepares students to explore further challenges and opportunities to work with advanced AI and bring them to new frontiers.The module content will typically be updated each year reflecting the latest evolution in AI.

Expected prior learning:  Participation in module EEE2036 "Laboratories, Design & Professional Studies III"  Module purpose:  Hands-on experimental skills, professional skills, and enterprise skills are important to today’s electronic engineers. This module helps the students to develop these skills by offering them laboratory-based experiments, team design projects and professional studies on transferrable skills. These activities are based on either individual or team work.

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

Expected prior/parallel learning: Appropriate background knowledge related to the project topic. Module purpose: The purpose of the Year 3 Individual Project is to prepare students for independent problem solving and independent work in engineering (or other professional environment). The module builds from the shorter projects undertaken in Year 1 (EEE1027 and EEE1028) and Year 2 (EEE2036 and EEE2037) labs, design and professional studies modules.  Students undertake an extended piece of research and development work on a particular topic over two semesters, and then present the outcomes of this work via a written Final Project Report and an oral presentation, in the form of a viva-voce examination. This module will further develop a student’s skills in planning, problem-solving and analysis, formal writing and presenting their work. For students staying on to MEng programme, this individual module feeds into the group Multidisciplinary Design project.    

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

This module introduces the principles and operation of digital logic systems, along with the tools and techniques used for their design and analysis, illustrated through real-world applications. It addresses both theoretical concepts such as logical operators, their combination and simplification, and circuit arrangements such as counters and registers, and the practical implementation of logic flows using software. The practical component also serves as an introduction to programming fundamentals through the Python language.

Mathematics is the best tool we have to gain a quantitative understanding of engineering sciences. This module is designed briefly to revise and then to extend A-level Mathematics material, and to introduce students to mathematical techniques to support future engineering modules.

Expected prior learning:  None. Module purpose:  Working individually or in groups on engineering projects requires a wide range of professional and technical skills. This module helps first year students develop skills in research and technical presentation, along with the practical laboratory skills required by the professional engineer.  Both units of assessment must be passed individually.  No compensation is allowed for this module. This module is the first module a student will encounter within the Laboratory, Design and Professional Studies group of modules in Year 1 (EEE1027 in semester 1 and EEE1028 in semester 2), in Year 2 (EEE2036 in semester 1 and EEE2037 in semester 2) and EEE3035 in year 3.

Mathematics is an essential tool to understand and solve real-world engineering problems. This module builds on the mathematical foundations from MAT1044 Engineering Mathematics to introduce and explore more advanced mathematical concepts and methods relevant to a wide range of electronic engineering applications. 

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.

This module is the second module a student will encounter within the Laboratory, Design and Professional Studies group of modules. In builds upon EEE1027 in semester 1 and sees the introduction of project work alongside experiment. In subsequent years students building on their labs, design and professional studies work in Year 2 (EEE2036 in semester 1 and EEE2037 in semester 2) and EEE3035 in year 3.  Working individually or in groups on technical engineering projects requires a wide range of professional skills. Linking the laboratory work closely with professional development stresses the importance of developing an integrated portfolio of project skills. Both units of assessment must be passed individually. No compensation is allowed for this module.    

This module builds on the fundamental tools and concepts introduced in the Year 1 mathematics modules MAT1044 Engineering Mathematics and EEE1032 Mathematics II: Engineering Mathematics. A broad range of mathematical topics are covered with applications to problems in electronic engineering.

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.

Computers have become commonplace in many areas of our lives and are able to accomplish many things that humans would find difficult, if not impossible, to do by their own unaided efforts. Whilst computers can perform many calculations in a very short time they generally do not possess the ability to learn or to reason about novel situations or to process incomplete or uncertain data. They will need knowledge of the environment in which they operate so that they can understand what their sensors are monitoring and so that they can behave rationally. This module demonstrates the basic principles and methods of Artificial Intelligence (AI) and provides the basis for understanding and later choosing the correct tools for building such systems. Applications that motivate the development of Artificial Intelligence technology include intelligent robots, automated navigation for autonomous vehicles, object recognition and tracking, medical diagnosis, language communications and many others. Any application that requires human-like intelligence is an application for Artificial Intelligence.  

Expected prior learning: Learning equivalent to Year 1 of EE UG Programmes or equivalent Module purpose: Hands-on experimental skills, professional skills, and enterprise skills are important to today’s electronic engineers. This module helps the students to develop these skills by offering them laboratory-based experiments, team design projects and professional studies on transferrable skills. These activities are based on either individual or teamwork.

In recent years, AI has seen tremendous growth due in large part to more powerful computers, larger scale data and techniques to establish comprehensive framework through deeper neural networks. This module introduces a wide range of deep learning and the latest state of art techniques in AI for serving the world through innovation, understanding and compassion. Fundamental concepts on applied maths and establishment on effective learning objectives that thread through key elements in machine learning techniques will be discussed throughout the module. Students will study how to build suitable AI systems that can operate in complicated, real-world environments. The module also prepares students to explore further challenges and opportunities to work with advanced AI and bring them to new frontiers.The module content will typically be updated each year reflecting the latest evolution in AI.

Expected prior learning:  Participation in module EEE2036 "Laboratories, Design & Professional Studies III"  Module purpose:  Hands-on experimental skills, professional skills, and enterprise skills are important to today’s electronic engineers. This module helps the students to develop these skills by offering them laboratory-based experiments, team design projects and professional studies on transferrable skills. These activities are based on either individual or team work.

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

Expected prior/parallel learning: Appropriate background knowledge related to the project topic. Module purpose: The purpose of the Year 3 Individual Project is to prepare students for independent problem solving and independent work in engineering (or other professional environment). The module builds from the shorter projects undertaken in Year 1 (EEE1027 and EEE1028) and Year 2 (EEE2036 and EEE2037) labs, design and professional studies modules.  Students undertake an extended piece of research and development work on a particular topic over two semesters, and then present the outcomes of this work via a written Final Project Report and an oral presentation, in the form of a viva-voce examination. This module will further develop a student’s skills in planning, problem-solving and analysis, formal writing and presenting their work. For students staying on to MEng programme, this individual module feeds into the group Multidisciplinary Design project.    

Students have the option to undertake a work placement, study exchange abroad, or work/study exchange combination. This module supports students' development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment in diverse global contexts. The module is concerned with Personal and Professional Development towards holistic academic and non-academic learning, and is a process that involves self-reflection, documented via the creation of a personal record, planning and monitoring progress towards the achievement of personal objectives. Development and learning may occur before and during the placement/study exchange, and this is reflected in the assessment model as a progressive process. Additionally, the module aims to enable students to evidence and evaluate their placement/study exchange experiences and transfer that learning to other situations through written and presentation skills.

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. Students will also receive an introduction to using AI tools to support their learning, alongside critical discussions on the ethical considerations and academic integrity of utilising AI in a university setting.

This module builds on ENG0011 Mathematics A and is designed to reinforce and broaden A-Level statistics and calculus. 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. Students will also receive an introduction to using AI tools to support their learning, alongside critical discussions on the ethical considerations and academic integrity of utilising AI in a university setting.

This module builds on ENG0011 Mathematics A and is designed to reinforce and broaden A-Level statistics and calculus. 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.

This module introduces the principles and operation of digital logic systems, along with the tools and techniques used for their design and analysis, illustrated through real-world applications. It addresses both theoretical concepts such as logical operators, their combination and simplification, and circuit arrangements such as counters and registers, and the practical implementation of logic flows using software. The practical component also serves as an introduction to programming fundamentals through the Python language.

Mathematics is the best tool we have to gain a quantitative understanding of engineering sciences. This module is designed briefly to revise and then to extend A-level Mathematics material, and to introduce students to mathematical techniques to support future engineering modules.

Expected prior learning:  None. Module purpose:  Working individually or in groups on engineering projects requires a wide range of professional and technical skills. This module helps first year students develop skills in research and technical presentation, along with the practical laboratory skills required by the professional engineer.  Both units of assessment must be passed individually.  No compensation is allowed for this module. This module is the first module a student will encounter within the Laboratory, Design and Professional Studies group of modules in Year 1 (EEE1027 in semester 1 and EEE1028 in semester 2), in Year 2 (EEE2036 in semester 1 and EEE2037 in semester 2) and EEE3035 in year 3.

Mathematics is an essential tool to understand and solve real-world engineering problems. This module builds on the mathematical foundations from MAT1044 Engineering Mathematics to introduce and explore more advanced mathematical concepts and methods relevant to a wide range of electronic engineering applications. 

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.

This module is the second module a student will encounter within the Laboratory, Design and Professional Studies group of modules. In builds upon EEE1027 in semester 1 and sees the introduction of project work alongside experiment. In subsequent years students building on their labs, design and professional studies work in Year 2 (EEE2036 in semester 1 and EEE2037 in semester 2) and EEE3035 in year 3.  Working individually or in groups on technical engineering projects requires a wide range of professional skills. Linking the laboratory work closely with professional development stresses the importance of developing an integrated portfolio of project skills. Both units of assessment must be passed individually. No compensation is allowed for this module.    

This module builds on the fundamental tools and concepts introduced in the Year 1 mathematics modules MAT1044 Engineering Mathematics and EEE1032 Mathematics II: Engineering Mathematics. A broad range of mathematical topics are covered with applications to problems in electronic engineering.

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.

Computers have become commonplace in many areas of our lives and are able to accomplish many things that humans would find difficult, if not impossible, to do by their own unaided efforts. Whilst computers can perform many calculations in a very short time they generally do not possess the ability to learn or to reason about novel situations or to process incomplete or uncertain data. They will need knowledge of the environment in which they operate so that they can understand what their sensors are monitoring and so that they can behave rationally. This module demonstrates the basic principles and methods of Artificial Intelligence (AI) and provides the basis for understanding and later choosing the correct tools for building such systems. Applications that motivate the development of Artificial Intelligence technology include intelligent robots, automated navigation for autonomous vehicles, object recognition and tracking, medical diagnosis, language communications and many others. Any application that requires human-like intelligence is an application for Artificial Intelligence.  

Expected prior learning: Learning equivalent to Year 1 of EE UG Programmes or equivalent Module purpose: Hands-on experimental skills, professional skills, and enterprise skills are important to today’s electronic engineers. This module helps the students to develop these skills by offering them laboratory-based experiments, team design projects and professional studies on transferrable skills. These activities are based on either individual or teamwork.

In recent years, AI has seen tremendous growth due in large part to more powerful computers, larger scale data and techniques to establish comprehensive framework through deeper neural networks. This module introduces a wide range of deep learning and the latest state of art techniques in AI for serving the world through innovation, understanding and compassion. Fundamental concepts on applied maths and establishment on effective learning objectives that thread through key elements in machine learning techniques will be discussed throughout the module. Students will study how to build suitable AI systems that can operate in complicated, real-world environments. The module also prepares students to explore further challenges and opportunities to work with advanced AI and bring them to new frontiers.The module content will typically be updated each year reflecting the latest evolution in AI.

Expected prior learning:  Participation in module EEE2036 "Laboratories, Design & Professional Studies III"  Module purpose:  Hands-on experimental skills, professional skills, and enterprise skills are important to today’s electronic engineers. This module helps the students to develop these skills by offering them laboratory-based experiments, team design projects and professional studies on transferrable skills. These activities are based on either individual or team work.

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

Expected prior/parallel learning: Appropriate background knowledge related to the project topic. Module purpose: The purpose of the Year 3 Individual Project is to prepare students for independent problem solving and independent work in engineering (or other professional environment). The module builds from the shorter projects undertaken in Year 1 (EEE1027 and EEE1028) and Year 2 (EEE2036 and EEE2037) labs, design and professional studies modules.  Students undertake an extended piece of research and development work on a particular topic over two semesters, and then present the outcomes of this work via a written Final Project Report and an oral presentation, in the form of a viva-voce examination. This module will further develop a student’s skills in planning, problem-solving and analysis, formal writing and presenting their work. For students staying on to MEng programme, this individual module feeds into the group Multidisciplinary Design project.    

Module purpose:  This module was conceived to answer the SARTOR 3 requirement that each MEng student participates in a multi-disciplinary design activity. It involves students from Aerospace, Civil, Chemical, Electronic, Mechanical and Medical Engineering working in groups which contain at least 3, and often 4, disciplines. The projects are conceived by Royal Academy of Engineering (RAE) Visiting Professors from Industry (who enjoy the active support of their sponsoring organisation). It aims to emulate an intensive Industrial Design Project.      

The module introduces general information and network security principles, challenges and goals and then focuses on main security mechanisms and protocols for protecting network communication across different layers of the Internet protocol stack. This will include discussion on various attacks on the networks, penetration testing tools and possible countermeasures to ensure protection of authentication, confidentiality and end-to-end security of communications. In labs students will be able to practice experience with various network security protocols and tools.

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

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

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

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

This module introduces the principles and operation of digital logic systems, along with the tools and techniques used for their design and analysis, illustrated through real-world applications. It addresses both theoretical concepts such as logical operators, their combination and simplification, and circuit arrangements such as counters and registers, and the practical implementation of logic flows using software. The practical component also serves as an introduction to programming fundamentals through the Python language.

Mathematics is the best tool we have to gain a quantitative understanding of engineering sciences. This module is designed briefly to revise and then to extend A-level Mathematics material, and to introduce students to mathematical techniques to support future engineering modules.

Expected prior learning:  None. Module purpose:  Working individually or in groups on engineering projects requires a wide range of professional and technical skills. This module helps first year students develop skills in research and technical presentation, along with the practical laboratory skills required by the professional engineer.  Both units of assessment must be passed individually.  No compensation is allowed for this module. This module is the first module a student will encounter within the Laboratory, Design and Professional Studies group of modules in Year 1 (EEE1027 in semester 1 and EEE1028 in semester 2), in Year 2 (EEE2036 in semester 1 and EEE2037 in semester 2) and EEE3035 in year 3.

Mathematics is an essential tool to understand and solve real-world engineering problems. This module builds on the mathematical foundations from MAT1044 Engineering Mathematics to introduce and explore more advanced mathematical concepts and methods relevant to a wide range of electronic engineering applications. 

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.

This module is the second module a student will encounter within the Laboratory, Design and Professional Studies group of modules. In builds upon EEE1027 in semester 1 and sees the introduction of project work alongside experiment. In subsequent years students building on their labs, design and professional studies work in Year 2 (EEE2036 in semester 1 and EEE2037 in semester 2) and EEE3035 in year 3.  Working individually or in groups on technical engineering projects requires a wide range of professional skills. Linking the laboratory work closely with professional development stresses the importance of developing an integrated portfolio of project skills. Both units of assessment must be passed individually. No compensation is allowed for this module.    

This module builds on the fundamental tools and concepts introduced in the Year 1 mathematics modules MAT1044 Engineering Mathematics and EEE1032 Mathematics II: Engineering Mathematics. A broad range of mathematical topics are covered with applications to problems in electronic engineering.

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.

Computers have become commonplace in many areas of our lives and are able to accomplish many things that humans would find difficult, if not impossible, to do by their own unaided efforts. Whilst computers can perform many calculations in a very short time they generally do not possess the ability to learn or to reason about novel situations or to process incomplete or uncertain data. They will need knowledge of the environment in which they operate so that they can understand what their sensors are monitoring and so that they can behave rationally. This module demonstrates the basic principles and methods of Artificial Intelligence (AI) and provides the basis for understanding and later choosing the correct tools for building such systems. Applications that motivate the development of Artificial Intelligence technology include intelligent robots, automated navigation for autonomous vehicles, object recognition and tracking, medical diagnosis, language communications and many others. Any application that requires human-like intelligence is an application for Artificial Intelligence.  

Expected prior learning: Learning equivalent to Year 1 of EE UG Programmes or equivalent Module purpose: Hands-on experimental skills, professional skills, and enterprise skills are important to today’s electronic engineers. This module helps the students to develop these skills by offering them laboratory-based experiments, team design projects and professional studies on transferrable skills. These activities are based on either individual or teamwork.

In recent years, AI has seen tremendous growth due in large part to more powerful computers, larger scale data and techniques to establish comprehensive framework through deeper neural networks. This module introduces a wide range of deep learning and the latest state of art techniques in AI for serving the world through innovation, understanding and compassion. Fundamental concepts on applied maths and establishment on effective learning objectives that thread through key elements in machine learning techniques will be discussed throughout the module. Students will study how to build suitable AI systems that can operate in complicated, real-world environments. The module also prepares students to explore further challenges and opportunities to work with advanced AI and bring them to new frontiers.The module content will typically be updated each year reflecting the latest evolution in AI.

Expected prior learning:  Participation in module EEE2036 "Laboratories, Design & Professional Studies III"  Module purpose:  Hands-on experimental skills, professional skills, and enterprise skills are important to today’s electronic engineers. This module helps the students to develop these skills by offering them laboratory-based experiments, team design projects and professional studies on transferrable skills. These activities are based on either individual or team work.

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

Expected prior/parallel learning: Appropriate background knowledge related to the project topic. Module purpose: The purpose of the Year 3 Individual Project is to prepare students for independent problem solving and independent work in engineering (or other professional environment). The module builds from the shorter projects undertaken in Year 1 (EEE1027 and EEE1028) and Year 2 (EEE2036 and EEE2037) labs, design and professional studies modules.  Students undertake an extended piece of research and development work on a particular topic over two semesters, and then present the outcomes of this work via a written Final Project Report and an oral presentation, in the form of a viva-voce examination. This module will further develop a student’s skills in planning, problem-solving and analysis, formal writing and presenting their work. For students staying on to MEng programme, this individual module feeds into the group Multidisciplinary Design project.    

Students have the option to undertake a work placement, study exchange abroad, or work/study exchange combination. This module supports students' development of personal and professional attitudes and abilities appropriate to a Professional Training placement. It supports and facilitates self-reflection and transfer of learning from their Professional Training placement experiences to their final year of study and their future employment in diverse global contexts. The module is concerned with Personal and Professional Development towards holistic academic and non-academic learning, and is a process that involves self-reflection, documented via the creation of a personal record, planning and monitoring progress towards the achievement of personal objectives. Development and learning may occur before and during the placement/study exchange, and this is reflected in the assessment model as a progressive process. Additionally, the module aims to enable students to evidence and evaluate their placement/study exchange experiences and transfer that learning to other situations through written and presentation skills.

Module purpose:  This module was conceived to answer the SARTOR 3 requirement that each MEng student participates in a multi-disciplinary design activity. It involves students from Aerospace, Civil, Chemical, Electronic, Mechanical and Medical Engineering working in groups which contain at least 3, and often 4, disciplines. The projects are conceived by Royal Academy of Engineering (RAE) Visiting Professors from Industry (who enjoy the active support of their sponsoring organisation). It aims to emulate an intensive Industrial Design Project.      

The module introduces general information and network security principles, challenges and goals and then focuses on main security mechanisms and protocols for protecting network communication across different layers of the Internet protocol stack. This will include discussion on various attacks on the networks, penetration testing tools and possible countermeasures to ensure protection of authentication, confidentiality and end-to-end security of communications. In labs students will be able to practice experience with various network security protocols and tools.

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

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

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