Advances in electronics, computing and communications have made a huge impact on every aspect of modern life. This programme gives you the expertise needed to design the computer systems that shape the way we live and includes a year of professional experience to enhance your career prospects.
The range of uses for computers is increasing all the time – from smartphones and tablets to aircraft flight control systems and global telecommunications. Our degree gives you up-to-date knowledge of computer hardware and software, and a background knowledge of electronics, communications systems and control theory.
The programme is accredited by the Institution of Engineering and Technology (IET), on behalf of the Engineering Council. This allows graduates to follow an approved process to gain Chartered Engineer status.
Our degree programme
Computer technology, telecommunications and consumer electronics are rapidly evolving, so experts in these fields are in great demand. This degree is based on leading-edge research and has been designed with strong industrial input.
In your first and second years, you are introduced to a wide range of computing and engineering modules. You can study the theoretical background of digital technologies, communications principles and object-oriented programming, and take modules in robotics, computer interfacing and engineering mathematics.
Your final year allows you to specialise in a particular topic of interest. This could include computer networks and communication, computer security and cryptography, digital signal processing, digital control, digital systems design and embedded computer systems.
All years include project work that replicates industrial practice to maximise the employability of our graduates.
Year in industry
You take a work placement between the second and third years of your degree. This provides valuable workplace experience and can increase your professional contacts.
The School of Engineering and Digital Arts offers cutting-edge equipment and facilities, including:
- four air-conditioned computer suites with 150 high-end computers
- 120-seat engineering laboratory
- extensive professional CAD development software
- PCB and surface-mount facilities
- mechanical workshop
- Matlab for system modelling
- 3dMD 3D imaging scanner for general purpose capture and biometric research
- VICON Infrared Motion Capture System
- anechoic chamber for EMC (pre-compliance testing) and antenna characterisation.
Kent Union has a range of student-run clubs and societies. You can join the Kent Computing Society and the Digital Media Society to network, develop your skills and socialise with students from across the University.
The School of Engineering and Digital Arts has a long history of collaboration with industry. We have a strong reputation for our placement year, matching dedicated students with a variety of organisations in the UK and overseas.
Electronic and Electrical Engineering at Kent was ranked 1st for course satisfaction in The Guardian University Guide 2017 and 2nd for student satisfaction in The Complete University Guide 2017. In the National Student Survey 2016, 90% of students in Electronic and Electrical Engineering were satisfied with the overall quality of their course.
For graduate prospects, Electronic and Electrical Engineering at Kent was ranked 6th in The Guardian University Guide 2017.
The following modules are indicative of those offered on this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation.
On most programmes, you study a combination of compulsory and optional modules. You may also be able to take ‘wild’ modules from other programmes so you can customise your programme and explore other subjects that interest you.
|Possible modules may include||Credits|
|EL305 - Introduction to Electronics||15|
INTRODUCTION TO ELECTRIC CIRCUITS
Resistors, voltage, current, power, Ohm's law. Ideal and non-ideal voltage and current sources. Maximum power transfer in DC circuits and load matching. Kirchoff's voltage and current laws, series and parallel connection, voltage divider. Node voltage analysis of DC circuits. Mesh analysis. Superposition, Thevenin's and Norton's theorems. Transfer functions, attenuation, gain, decibel. Equivalent circuits for subsystems.
Capacitors, inductors, and RC circuits. Harmonic signals, magnitude and phase, voltage and current vectors, voltage-current relationships. Impedance and admittance.
Simple filter circuits. Series and parallel resonant circuits.
PRACTICAL OPERATIONAL AMPLIFIER CIRCUITS
Non-inverting amplifier, inverting amplifier, voltage follower and summing amplifier (including DC off-set circuit). Differential amplifier and instrumentation amplifier. Active filter, differentiator and integrator. Comparator (zero-crossing/threshold detector) and Schmitt trigger. Ideal op-amp (the golden rules) and practical op-amp. Static and dynamic op-amp parameters. Frequency response of op-amp circuits. Open-loop and closed-loop. Negative feedback and positive feedback. Op-amp circuit simulation. Trouble-shooting and testing.
There are 6 assessed and 4 non-assessed laboratories.
There will be an assessed Operational amplifier mini project together with 2 non-assessed tutorials associated with the mini-project.
|EL311 - The Robotics Project||15|
Introduction to the project and use of log-books. PCB manufacture. Resistor and capacitor components. Robot mechanics.
INSTITUTE OF ENGINEERING AND TECHNOLOGY TALK
USE OF INSTRUMENTS AND INTRODUCTION TO FAULT-FINDING
INTRODUCTION TO CAD OF PCBS AND ROBOT CIRCUITRY
CAD tools. Dos/don'ts on CAD package. Robot sensors and circuits.
ROBOTS AND C/C++ PROGRAMMING
Introduction to Robots. Introduction to C/C++ Programming.. Programming of self-built robots using C/C++ Programming and the Arduino Duemillenova Board.
LAB PRACTICE IN THE PROJECT LAB AND PCB CONSTRUCTION
This is designed to provide experience in the practical and management aspects of project work and is supported by lectures and weekly small group tutorials. There is a total of 42 laboratory hours over the Autumn and Spring terms. The main components are: use of the Mechanical Workshop, basic mechanical work, soldering, assembly and testing of a printed circuit board.
A series of weekly exercises (Weeks 14 to 16) aimed at familiarising the students with the Computer Aided Design (CAD) tools needed to develop the PCB circuit which will later be integrated into the robot. This practical work will be supported by three lectures given at the beginning of term.
A series of weekly individual exercises, of which two are assessed. The exercises are designed to provide experience with the robot kit, and programming the robots using C/C++ language. During the second Project Week of the term, the developed PCB will be integrated into the robot and the complete design will be assessed by demonstration at the end of the term. This practical work will be supported by five lectures given towards the beginning of term. There will be a competition for the best robot, with the award of a prize.
ASSIGNMENT 1 - THE USE OF INSTRUMENTS
A laboratory exercise using the Project Laboratory facilities.
Assessment is by completing an answer booklet.
ASSIGNMENT 2 - MECHANICAL DESIGN OF THE ROBOT BASEPLATE
Assessment of students' design and built quality of the robot baseplate.
ASSIGNMENT 3 - PCB LAYOUT
Assessment of students' PCB design.
ASSIGNMENT 4 - ROBOT PROGRAMMING EXERCISE 1
Weekly exercises of programming of robots.
ASSIGNMENT 5 - ROBOT PROGRAMMING EXERCISE 2
Weekly exercises of programming of robots.
ASSIGNMENT 6 - PCB FABRICATION
Assessment of students' hardware construction of the PCB.
ASSIGNMENT 7 - DEMONSTRATION OF ROBOT
An assessed demonstration of the robot constructed in the project.
ASSIGNMENT 8 - LOG BOOK
An assessed record of PCB design and construction.
|EL315 - Digital Technologies||15|
The analogue world, the digital world. Digital systems design: hardware and software. An overview of digital technologies. Examples of digital systems. Combinatorial logic. AND, OR and NOT gates. Introduction to Boolean algebra. Karnaugh maps and minimisation techniques. Functional building blocks: adder, comparator, encoders and decoders. Implementation issues, programmable devices.
The NAND latch, D-type FF, shift register, counters. Delays, clocks. Hierarchical design. Overview of Computer Systems. Architectural and operational properties of sequential machines, comparison with combinational circuits. Finite State Machines. Realisation of synchronous machines: design technique, approaches, examples. Algorithmic State Machines. Basic computer operation. The stored program concept.
|EL318 - Engineering Mathematics||15|
INTRODUCTION TO MATLAB (4 lectures)
Introduction to MATLAB, syntax, graphs, functions, loops, logical operators, arrays and matrices.
SIMPLE FUNCTIONS AND GRAPHS (4 lectures)
Revision of fundamental mathematics. Linear, polynomial, exp, log, circular functions. Odd and
COMPLEX NUMBERS (4 lectures)
Complex Numbers: Addition, multiplication, division. Argand diagram, modulus argument
representation. De Moivre's theorem.
DIFFERENTIATION and SERIES (6 lectures)
Differentiation of simple functions, sums, products, reciprocals, inverses, function of a function.
Higher order derivatives. Maclaurin and Taylor series.
TRIGONOMETRY, VECTORS AND MATRICES (6 lectures)
Definition of a vector. Basic properties of vectors. Vector addition and subtraction. The scalar
product. Cross product. Definition of a matrix. Addition, subtraction and product. Determinant and
inverse of square matrices. Solution of simultaneous equations using matrices.
INTEGRATION (4 lectures)
Revision. Indefinite integrals. Definite integrals and interpretation as an area. Evaluation using
substitution and integration by parts.
SETS, PROBABILITY AND STATISTICS (6 lectures)
Sets and elements. Basic set operations. Probability and probability distributions. Mean, standard
deviation and variance. The Normal distribution.
|EL319 - Engineering Analysis||15|
SYSTEMS ANALYSIS (6 lectures + 3 examples classes)
Introduction to differential equations.
First order DE and methods of solution.
Initial conditions and solutions of RC and RL circuits.
Homogeneous second order differential equations. General solution.
Initial conditions, particular solution and examples of RLC circuits.
Non homogeneous 2nd order differential equations.
SIGNAL ANALYSIS (6 lectures + 3 examples classes)
Odd, even and periodic functions
Integration of Trig. Functions.
The Fourier Series.
Examples of the Fourier series for simple functions
The concept of discrete spectrum and Paserval's Theorem
The complex Fourier series and examples.
ELECTROMAGNETIC FIELD ANALYSIS (12 lectures + 4 examples classes)
Introduction to partial differential equations
Laplace, Poisson and Wave equations. Boundary conditions and initial conditions
Introduction to electromagnetism and fields
Electrostatic examples. Fields around common transmission lines. Capacitance.
Amperes law and magneto-statics field examples. Inductance.
The wave equation for transmission lines. Time harmonic solutions
Reflections and wave propagation
Introduction to Maxwell's equations and EM wave propagation
|CO320 - Introduction to Object-Oriented Programming||15|
This module provides an introduction to object-oriented software development. Software pervades many aspects of most professional fields and sciences, and an understanding of the development of software applications is useful as a basis for many disciplines. This module covers the development of simple software systems. Students will gain an understanding of the software development process, and learn to design and implement applications in a popular object-oriented programming language. Fundamentals of classes and objects are introduced, and key features of class descriptions: constructors, methods and fields. Method implementation through assignment, selection control structures, iterative control structures and other statements is introduced. Collection objects are also covered and the availability of library classes as building blocks. Throughout the course, the quality of class design and the need for a professional approach to software development is emphasized
|CO323 - Databases and the Web||15|
An introduction to databases and SQL, focussing on their use as a source for content for websites.
Creating static content for websites using HTML(5) and controlling their appearance using CSS.
Using PHP to integrate static and dynamic content for web sites.
Securing dynamic websites.
|CO324 - Computer Systems||15|
14. A synopsis of the curriculum
This module aims to provide students with an understanding of the fundamental behaviour and components (hardware and software) of a typical computer system, and how they collaborate to manage resources and provide services. The module has two strands: Hardware Architecture and Operating Systems and Networks, which form around 35% and 65% of the material respectively. Both strands contain material which is of general interest to computer users; quite apart from their academic value, they will be useful to anyone using any modern computer system.
Data representation: Bits, bytes and words. Numeric and non-numeric data. Number representation.
Computer architecture: Fundamental building blocks (logic gates, flip-flops, counters, registers). The fetch/execute cycle. Instruction sets and types.
Data storage: Memory hierarchies and associated technologies. Physical and virtual memory.
Operating Systems and Networks
Operating systems principles. Abstractions. Processes and resources. Security. Application Program Interfaces.
Device interfaces: Handshaking, buffering, programmed and interrupt-driven i/o. Direct Memory Access.
File Systems: Physical structure. File and directory organisation, structure and contents. Naming hierarchies and access. Backup.
Background and history of networking and the Internet.
Networks and protocols: LANs and WANs, layered protocol design. The TCP/IP protocol stack; theory and practice. Connection-oriented and connectionless communication. Unicast, multicast and broadcast. Naming and addressing. Application protocols; worked examples: SMTP, HTTP).
|Possible modules may include||Credits|
|CO520 - Further Object-Oriented Programming||15|
This module builds on the foundation of object-oriented design and implementation found in module CO320 Introduction to Object-Oriented Programming to provide a deeper understanding of and facility with object-oriented program design and implementation. More advanced features of object-orientation, such as inheritance, abstract classes, nested classes, graphical-user interfaces (GUIs), exceptions, input-output are covered. These allow an application-level view of design and implementation to be explored. Throughout the module the quality of application design and the need for a professional approach to software development is emphasized.
|EL560 - Microcomputer Engineering||15|
variables, operators and control structures.
Good programming practice: layout, naming, software documentation. Scope.
Pointers and Arrays.
Data structures. Memory handling.
The structure of a typical micro computer. The PIC: an overview. The programmer's model, instruction set and addressing mode. The control unit, stack and stack pointers and program counter. The operation of a microcomputer: fetch and execute activities. Translating C into assembler. How to run a C program on the PIC. The efficiency of C programs: memory requirements and operational speed. An introduction to input/output. Accessing interface registers in C. Simple input/output using the switches and lights. Bit testing and bit manipulation. Generating waveforms. Time delays using program loops and timers. Controlling peripherals. Determining peripheral status. Serial ports. The interaction of hardware and software during polled input/output. The principles of input/output using interrupts. Interrupt service routines: how they are instigated and typical activities. The implementation of interrupts in C. Handling several interrupt sources. A Keyboard interface. Polling vs Interrupts. Flow of data and control in a memory reference instruction. The structure of memory
- conceptual, addressing, decoding
- memory components
- multiple memory chips
- chip enable, implementation strategies
Software Engineering Process: lifecycle models. Software requirements engineering: basic concepts and principles, requirements engineering process, requirements elicitation, requirements analysis, requirements validation, requirements management. Software design: basic concepts and principles, software architecture, design notations, design strategies and methods (object-oriented, function-oriented, real-time systems). Software testing: basic concepts and principles, testing process, test planning, testing strategies and techniques.
4 two-hour assessed workshops support the C Programming language component.
Workshop 1: Control structures and program flow.
Workshop 2: Pointers and arrays.
Workshop 3: Use of structures for data representation.
Workshop 4: Mini project involving the development of a software solution for a problem according to given specifications.
ASSIGNMENT - INTRODUCTION TO MICROCOMPUTERS
One assessed and five non-assessed lectures.
LABORATORY - MICROCOMPUTER ENGINEERING
This one-day laboratory uses the PCs with PIC microcomputers. Assessed.
EXAMPLES CLASS - SOFTWARE ENGINEERING
One assessed examples class.
|EL561 - Image Analysis & Applications||15|
IMAGES AND IMAGE PROCESSING
Introduction to the module. Scope, philosophy and range of relevant applications. Vision as a physiological, psychological and computational process. Image representation, spatial and amplitude digitisation, resolution, colour in images, and computational implications. Array tessellation, connectivity, object representation, binarisation and thresholding. Image histograms and properties, image quality. Image enhancement processing and filtering. Histogram modification techniques and contrast enhancement. Image subtraction, simple motion detection, skeletonisation. Image segmentation, edge-based and region-based methods, multi-attribute segmentation, the Hough transform and its generalisation. Shape descriptors and feature measurement. Morphological operators for image processing. Principles of simple image coding and implications. Case studies.
Principles of image analysis and understanding. Representation of objects and scenes. The concept of formalised pattern recognition. Pattern descriptors and pattern classes, preprocessing and normalisation. Feature extraction and imager characterisation. Texture analysis as an example of object description texture descriptors, analysis using co-occurrence matrices. Basic decision theory and the Bayesian classifier. Cost and risk, minimum risk and minimum error-rate classification, rejection margins and error-rate trade-off, canonical descriptions of classifier structure. Implementation considerations and approaches to estimation of class-conditional feature distributions. Minimum distance classifiers. Alternative classification strategies. Case studies.
SECURITY AND BIOMETRICS
Introduction to security issues. Alternative approaches to personal identification, access control and data security, and applications in industrial, media, commercial and other related scenarios. Fundamentals of biometrics, biometric modalities, user requirements and user acceptability, template construction. Physiological and behavioural features, static and dynamic analyses, error sources and performance measures. False acceptance and false rejection measures, equal error rate, ROC descriptions. Variability and stability of biometric data, template ageing and related issues in enrolment and deployment. Characterisation of typical common modalities: face recognition, fingerprint processing, iris recognition, and automatic signature verification, and their underlying technologies. Usability issues, the human interface, system integration. Testing and evaluation of biometric systems. Revocable biometrics. Applications of biometric systems. Case studies.
NEURAL NETWORK PROCESSING
The concept of neural networks as architectures for image analysis. Exploration of techniques for automated learning and generalisation with artificial neural networks. Fundamentals of neural network design, basic design philosophy and application of neural networks to practical problems. Example: perceptrons and the perceptron learning algorithm.
There will be 4 assessed examples classes, one for each lecture series.
|EL565 - Electronic Instrumentation and Measurement Systems||15|
GENERAL PRINCIPLES OF MEASUREMENT AND INSTRUMENTATION
Purpose, structure and classification of measurement systems. Systematic characteristics (range and span, errors and accuracy, linearity, sensitivity and hysteresis). Statistical characteristics (repeatability and reproducibility). Calibration, traceability and standards.
Introduction of a range of sensors and transducers. Resistive sensors. Capacitive sensors. Ultrasonic sensors. Electromagnetic sensors. Optical sensors. Radiological sensors. Semiconductor sensing elements. Measurement of temperature, pressure, displacement, force and flow. Thermocouples and thermistors. Strain gauges.
SIGNAL CONDITIONING AND DATA PRESENTATION
Design of bridges, amplifiers and filters. Panel meters, LED and LCD displays, moving coil meters, chart recorders and printers. Data acquisition with microcomputers. Smart sensors and intelligent instrumentation systems.
Physical construction and functional uses of power supplies. Linear regulators. Switched-mode power supplies. DC-DC converters. Batteries.
Sources of noise in electronic circuits. Thermal, shot and l/f noise. The Friis equation and low noise amplifiers. Noise reduction techniques.
EXAMPLES CLASS - GENERAL PRINCIPLES OF MEASUREMENT AND INSTRUMENTATION
EXAMPLES CLASSES - SENSORS, SIGNAL CONDITIONING AND DATA PRESENTATION
EXAMPLES CLASS - NOISE
LABORATORY - TEMPERATURE MEASUREMENT SYSTEM
Students will design, construct and test a temperature measurement system using a precision integrated-circuit temperature sensor.
LABORATORY - FORCE MEASUREMENT SYSTEM
Students will design, construct and test a force measurement system using load cells.
LABORATORY - LIGHT MEASUREMENT SYSTEM
Students will study, evaluate and test an optical sensor based light intensity measurement system.
LABORATORY POWER SUPPLIES
Students will design, construct and test a linear regulator circuit and compare its performance with a switching regulator.
|EL568 - Digital Implementation||15|
AN INTRODUCTION TO VHDL
This course introduces the hardware description language, VHDL. A subset of the VHDL language is introduced, which enables moderately complex behavioural and structural models of digital components to be developed. Practical work associated with this course is performed using a Windows-based VHDL compiler and simulator. The Workshops complement the lecture material and provide students with the necessary skills to enable them to use VHDL in their third year projects.
DIGITAL SYSTEM IMPLEMENTATION
Real Logic Gates: voltage and current characteristics, noise immunity and fanout. The MOS
Transistor - detailed operation. Introduction to Stick diagrams.
CMOS Logic Gates. Clocked Logic. Registers, Shift registers.
Structure of Read/Write and Read Only memory cells. Storage mechanisms in Read Only Memories,
Static and Dynamic RAMs. DRAM Cell Design - 3 transistor and 1 transistor, row & column decoders. Memory Read and Write Cycles. Memory Addressing. Multiplexed Addressing. Address decoding, Memory system implementation, Processor-Memory Interfacing. Structure and operation of a small memory system based on RAM devices.
(CAD1 Introduction to VHDL Design). 2 days. Assessed.
WORKSHOPS: INTRODUCTION TO VHDL
Six, 2-hour workshops on VHDL/Xilinx, Two of these workshops are assessed.
EXAMPLES CLASS: DIGITAL SYSTEM IMPLEMENTATION
A one-hour examples class. Assessed.
EXAMPLES CLASS: MEMORY INTERFACING
A one-hour examples class. Assessed.
|EL569 - Signals and Systems||15|
INTRODUCTION TO SIGNALS AND SYSTEMS
Introduction to MATLAB functions for signals and systems. Introduction to signals and systems. Time-domain models. Frequency-domain models. Periodic signals and the Fourier Series. Non-Periodic Signals and the Fourier Transform.
Simple Continuous Time systems. Convolution. Impulse Response. Filtering of Continuous Time Signals. Sampling and Discrete-Time signals. The Sampling Theorem. Aliasing.
AN INTRODUCTION TO THE LAPLACE TRANSFORM
The Laplace Transform and its application to signals and systems.
INTRODUCTION TO CONTROL SYSTEMS
Why control? Feedback. Review and revision of the Laplace Transform. The Transfer Function. Introducing Feedback into a system. Root Locus analysis. Proportional control systems, Integral control systems Derivative control systems. Introduction to the PID controller.
EXAMPLES CLASS - INTRODUCTION TO SIGNALS AND SYSTEMS
One assessed Examples Class.
WORKSHOPS - MATLAB FOR SIGNALS AND SYSTEMS
Directed study, including one marked assignment.
EXAMPLES CLASS - INTRODUCTION TO CONTROL SYSTEMS
One assessed Examples Class.
WORKSHOPS - MATLAB FOR CONTROL
Directed study examples, including one marked assignment.
|EL570 - Communications Principles||15|
COMMUNICATION SYSTEM PRINCIPLES
Signals and spectra: the Fourier transform. Modulation/demodulation; AM. SSB/DSB. Angle modulation; narrow- and wide-band FM. Baseband signalling. Sampling and pulse modulation. PCM, PAM, PPM. Synchronous and asynchronous transmission. Line codes. Bit and word synchronisation. Band-limited channels, pulse shaping and ISI. Noisy channels and matched filters. Dispersive channels and equalisation. ASK, FSK, PSK and QPSK. Bandwidth and noise immunity of modulation formats. Spread spectrum communications. Pseudo random sequences. Direct sequence and frequency hopped systems.
COMMUNICATION NETWORKS PRINCIPLES
Network architecture, protocol stacks. Network topologies. Link layer and local area network protocols. Internet protocols.
EXPERIMENT COMMUNICATION NETWORKS PRINCIPLES
EXPERIMENT COMMUNICATION SYSTEM PRINCIPLES
EXAMPLES CLASSES COMMUNICATION SYSTEM PRINCIPLES
Year in industry
Students on a Year in Industry degree spend a year working in industry between Stages 2 and 3. The School has excellent industrial links, providing students with many placement opportunities. We have a dedicated Employability Officer who helps you apply for placements but please note that it is your responsibility to secure a placement, which cannot always be guaranteed.
Students taking the Year in Industry programme are eligible to apply for a placement offered through the School's exchange agreement with Hong Kong City University.
There are many benefits to taking the Year in Industry. Information specific to this programme can be found in the Year in industry Engineering and Digital Arts leaflet.
|Possible modules may include||Credits|
|EL790 - Year In Industry||120|
Students spend a year (minimum 30 weeks) working in an industrial or commercial setting, applying and enhancing the skills and techniques they have developed and studied in the earlier stages of their degree programme. The work they do is entirely under the direction of their industrial supervisor, but support is provided via a dedicated Placement Support Officer within the department. This support includes ensuring that the work they are being expected to do is such that they can meet the learning outcomes of the module.
Note that participation in this module is dependent on students obtaining an appropriate placement, for which guidance is provided through the department in the year leading up to the placement. Students who do not obtain a placement will be required to transfer to the appropriate programme without a Year in Industry.
|Possible modules may include||Credits|
|EL600 - Project||45|
INTRODUCTION TO THE 3RD YEAR PROJECT
POSTER DESIGN AND PRESENTATION
Students are expected to work two full days a week designing, building and testing their hardware and/or software.
Weekly meetings are held with the project supervisor throughout the year.
A literature review report is submitted in the beginning of the Autumn Term giving an introduction to the chosen project and the definition of the state-of-the-art in the field.
An oral presentation is required in the middle of the Autumn Term outlining the project and how it will be implemented (i.e., project plan- Gantt Chart).
The interim report is submitted at the end of the Autumn Term reporting the progress against the Gantt Chart of the project during the term.
POSTER DESIGN AND PRESENTATION
The poster is required at the end of the Lent Term giving an outline of the project. The poster presentation is required in the beginning of the Summer Term.
FINAL PROJECT REPORT, VIVA AND DEMONSTRATION
The final project report is submitted at the end of the Lent Term and is subject to a viva voce examination and demonstration. The final report is a formal documentary description of the project, including the introduction in the field, definition, aim and objectives of the project, detailed technical approaches, design, implementation and experimental results of the work completed.
|EL667 - Embedded Computer Systems||15|
INTRODUCTION TO MBED
Introduction to the mbed microcontroller system. Structure of the mbed, data input/output, serial communications, interrupts and timers. Compiling and downloading code to the mbed.
EMBEDDED AND REAL TIME SYSTEMS
An introduction to operating systems. Real time operating system features. Concurrent processes and priority. Synchronising processes. Hardware and operating system constraints. Deadlines and real time scheduling. Inter-task communication, message passing and threads. Multi-processor systems and redundancy. Hardware for real time. Safety critical systems. Case studies.
MICROCOMPUTER ARCHITECTURE APPLICATIONS AND PERFORMANCE
A series of case studies illustrating design and performance issues for real-time embedded systems leading to an introduction for the assignment to control a petrol engine.
ASSIGNMENT - RTOS DEMONSTRATOR
This laboratory uses a hardware platform to develop an RTOS application and to monitor its performance.
ASSIGNMENT - MICROCOMPUTER ARCHITECTURE APPLICATIONS AND PEFORMANCE
This laboratory assignment is concerned with the control of the ignition timing of a simulated petrol engine. A microcomputer is programmed in 'C' to generate the spark at the appropriate time.
|EL671 - Product Development||15|
PRODUCT DESIGN and PRODUCTION TECHNOLOGY
Eight hours of lectures covering specification and design considerations for electronic products including the use of design and manufacturing standards, product safety considerations, sustainable manufacture and product qualification. PCB design, fabrication and assembly techniques are discussed, including electrostatic damage in the field and the production environment, assembly techniques (surface mount and conventional) and inspection, test and reworking during the manufacturing procedure, plus design verification.
Eight hours of lectures introducing techniques for managing electromagnetic compatibility of products in design, manufacture and use. This includes electromagnetic interference (EMI) in the near and far field-regions, electromagnetic compatibility (EMC) and EMC testing, conducted EMI and filtering, signal conductors and grounding schemes. Students are introduced to the European EMC directive.
PROJECT MANAGEMENT and SYSTEMS ENGINEERING
Four hours of lectures providing an introduction to the principles of good project management and systems engineering, including project planning and review, governance, risk management and product safety management. The lectures will also introduce the use of management Standards such as ISO 9000, commercial and contractual considerations, ethical considerations, and managing intellectual property.
Four hours of lectures will aim to introduce the importance of financial management for engineering covering the principles and importance of corporate finance and financial management within the business and project. The lectures will also provide an introduction to accountancy and financial statements; discuss entrepreneurship and introduce the financial liabilities of companies and directors; the treatment of assets and the evaluation of net present value will also be considered.
|EL673 - Digital Systems Design||15|
DIGITAL SYSTEM REALISATION
These lectures will: Develop techniques for reliable system design using strictly synchronous design methods. Introduce synthesis tools which map VHDL architecture to FPGAs and consider how to get the best performance from these tools. Review alternative technologies available for implementing digital systems. A practical lab-based assignment will be carried out to gain experience of VHDL design and hardware implementation.
DATA PATH DESIGN
CMOS VLSI revision,
Data Path Component building blocks, e.g. Function Blocks, Manchester Carry Chain, ALU, Register Files, Shifters, Structure of Programmable Logic Arrays and their use in the control of the Data Path.
Testing chips, boards and systems. Single stuck fault models, fault dictionary, test pattern generation.
Formal approaches to testability improvement. Scan path techniques.
Boundary scan approach to chip/board testing. IEEE1149.1 Boundary scan - Structure and operation.
ASSIGNMENT - DIGITAL SYSTEM REALISATION
EXAMPLES CLASS - DATA PATH DESIGN
EXAMPLES CLASS - FORMAL TESTABILITY
|EL676 - Digital Signal Processing and Control||15|
AN INTRODUCTION TO DIGITAL SIGNALS AND SYSTEMS
ADC and DAC, The sampling Theorem, The Discrete Fourier Transform, The Fast Fourier Transform, The z-Transform, pole-zero diagrams, Transfer Functions, Stability
DIGITAL FILTERS AND DIGITAL FILTER DESIGN
An introduction to digital filters. FIR Filters: design, implementation and applications, Windowing Functions, IIR Filters: design implementation and applications. Matlab Tools for Filter Design and implementation. Applications of DSP. Hardware architectures for DSP
Implications of digital implementation of feedback control systems. Analogue design using Root Locus analysis and Bode Plots. Controller Emulation Methods. Direct digital design of feedback control systems.
APPLICATIONS OF FEEDBACK CONTROL
Case Studies: Motor Speed Control; Position Control; Aircraft Pitch Control; Robot Control - for example
Digital Control Design
Two assessed directed study MATLAB DSP examples.
Directed study MATLAB CONTROL examples.
Control Experiment using MATLAB.
|CO633 - Computer Networks and Communications||15|
This modules contains two main components. It starts with a comprehensive and detailed study of current computer networks and communications technologies. You learn how the various hardware and software components are organised and how they actually work . A selection of key topics are then looked at in even greater depth to reveal the state-of-the-art and issues (problems) that remain to be solved.
Network Architectures and Protocols: This component provides a comprehensive study of network architecture and individual protocol layers, including details of the technologies, algorithms and protocols currently used.
The Advanced Topics component takes an in-depth look at a number of advanced topics in the area of computer communications, including details of the current practice and outstanding issues in a number of state-of-the-art areas.
|CO634 - Computer Security and Cryptography||15|
Security has always been an important aspect of computing systems but its importance has increased greatly in recent years. In this module you learn about areas where security is of major importance and the techniques used to secure them. The areas you look at include computer operating systems (and increasingly, distributed operating systems), distributed applications (such as electronic commerce over the Internet) and embedded systems (ranging from smart cards and pay-TV to large industrial plant and telecommunications systems).
Teaching and assessment
Teaching includes lectures, coursework and laboratory assignments, examples classes where you develop your problem-solving skills and regular staff ‘surgeries’. Practical work is carried out in air-conditioned laboratories, with state-of-the-art equipment and outstanding IT infrastructure.
Stage 1 modules are assessed by coursework and examination at the end of the year. Stage 2 and 3 modules, with the exception of the final-year project, are assessed by a combination of coursework and examination. All years include project work to replicate industrial practice and develop skills to maximise employability.
Please note that progression thresholds apply. In particular, in order to be considered for a placement, students are required to achieve an overall mark at Stage 1 of at least 60%.
The programme aims to:
- educate students to become engineers, well-equipped for professional careers in development, research and production in industry and universities, and capable of meeting the challenges of a rapidly changing subject
- produce computer systems engineers with specialist skills in hardware and software engineering, prepared for the complexities of modern computer system design
- enable students to satisfy the professional requirements of the IET
- provide academic guidance and welfare support for all students
- create an atmosphere of co-operation and partnership between staff and students, and offer students an environment where they can develop their potential.
Knowledge and understanding
You gain knowledge and understanding of:
- mathematical principles relevant to computer systems engineering
- scientific principles and methodology relevant to computer systems engineering
- advanced concepts of embedded systems, signals and image processing, control, computer communications and operating systems
- the value of intellectual property and contractual issues
- business and management techniques which may be used to achieve engineering objectives
- the need for a high level of professional and ethical conduct in computer systems engineering
- current manufacturing practice with particular emphasis on product safety and EMC standards and directives
- characteristics of materials, equipment, processes and products
- appropriate codes of practice, industry standards and quality issues
- contexts in which engineering knowledge can be applied.
You develop the following intellectual abilities:
- analysis and solution of hardware and software engineering problems using appropriate mathematical methods
- the ability to apply and integrate knowledge and understanding of other engineering disciplines to support study of computer systems engineering
- the use of engineering principles and how to apply them to analyse key computer systems engineering processes
- the ability to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques
- the ability to apply and understand a systems approach to computer systems engineering problems
- the ability to investigate and define a problem and identify constraints including cost drivers, economic, environmental, health and safety and risk assessment issues
- the ability to use creativity to establish innovative, aesthetic solutions while understanding customer and user needs, and ensuring fitness for purpose of all aspects of the problem including production, operation, maintenance and disposal
- the ability to demonstrate the economic and environmental context of the engineering solution.
You develop subject-specific skills including:
- the use of mathematical techniques to analyse and solve hardware and software problems
- the ability to work in an engineering laboratory environment and to use electronic and workshop equipment, and CAD tools to create electronic circuits
- the ability to work with technical uncertainty
- the ability to apply quantitative methods and computer software relevant to computer systems engineering in order to solve engineering problems
- the ability to implement software solutions using a range of structural and object- oriented languages
- the ability to design hardware or software systems to fulfil a product specification and devise tests to appraise performance
- awareness of the nature of intellectual property and contractual issues and an understanding of appropriate codes of practice and industry standards
- the ability to use technical literature and other information sources and apply it to a design
- the ability to apply management techniques to the planning, resource allocation and execution of a design project and evaluate outcomes
- the ability to prepare technical reports and presentations.
You gain transferable skills including:
- the ability to generate, analyse, present and interpret data
- the use of information and communications technology
- personal and interpersonal skills and working as a member of a team
- effective communication (in writing, verbally and through drawings)
- effective learning for the purpose of continuing professional development
- critical thinking, reasoning and reflection
- how to manage time and resources within an individual project and a group project
The School of Engineering and Digital Arts has an excellent record of student employability. Previous graduates have gone on to careers in:
- design of electronic and computer systems
- software engineering
- real-time industrial control systems
- computer communications networks.
Other graduates have gone on to work for a range of organisations including:
- BAE Systems
- Defence Science and Technology Laboratory (MOD).
Help finding a job
Employers are always keen to employ graduates with knowledge of the work environment and some students receive job offers from their placement company.
The School of Engineering and Digital Arts holds an annual Employability and Careers Day where you can meet local and national employers and discuss career opportunities. Ongoing support is provided by the School's dedicated Employability Officer.
The University also has a friendly Careers and Employability Service which can give you advice on how to:
- apply for jobs
- write a good CV
- perform well in interviews.
Alongside specialist skills, you also develop the transferable skills graduate employers look for, including the ability to:
- think critically
- communicate your ideas and opinions
- work independently and as part of a team.
You can gain extra skills by signing up for one of our Kent Extra activities, such as learning a language or volunteering.
Our programme is accredited by the Institution of Engineering and Technology (IET), which enables fast-track career progression as a professional engineer.
For graduate prospects, Electronic and Electrical Engineering at Kent was ranked 6th in The Guardian University Guide 2017.
According to Which? University (2017), the average starting salary for graduates of this degree is £25,000.
The University will consider applications from students offering a wide range of qualifications. Typical requirements are listed below. Students offering alternative qualifications should contact us for further advice.
It is not possible to offer places to all students who meet this typical offer/minimum requirement.
|Qualification||Typical offer/minimum requirement|
BBB including B in Mathematics and a science/techology subject (Physics, Computing or Electronics)
|Access to HE Diploma||
The University will not necessarily make conditional offers to all Access candidates but will continue to assess them on an individual basis.
If we make you an offer, you will need to obtain/pass the overall Access to Higher Education Diploma and may also be required to obtain a proportion of the total level 3 credits and/or credits in particular subjects at merit grade or above.
|BTEC Level 3 Extended Diploma (formerly BTEC National Diploma)||
Engineering: Distinction, Distinction, Merit including Further Mathematics for Technicians
34 points overall or 15 at HL including Mathematics (not Mathematics Studies) and a science subject 5 at HL or 6 at SL
The University welcomes applications from international students. Our international recruitment team can guide you on entry requirements. See our International Student website for further information about entry requirements for your country.
If you need to increase your level of qualification ready for undergraduate study, we offer a number of International Foundation Programmes.
Meet our staff in your country
For more advise about applying to Kent, you can meet our staff at a range of international events.
English Language Requirements
Please see our English language entry requirements web page.
Please note that if you are required to meet an English language condition, we offer a number of 'pre-sessional' courses in English for Academic Purposes. You attend these courses before starting your degree programme.
General entry requirements
Please also see our general entry requirements.
The 2018/19 entry tuition fees have not yet been set. As a guide only, the 2017/18 tuition fees for this programme are:
For students continuing on this programme, fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.*
Your fee status
The University will assess your fee status as part of the application process. If you are uncertain about your fee status you may wish to seek advice from UKCISA before applying.
General additional costs
Fees for Year in Industry
For 2017/18 entrants, the standard year in industry fee for home, EU and international students is £1,350. Fees for 2018/19 entry have not yet been set.
Fees for Year Abroad
UK, EU and international students on an approved year abroad for the full 2017/18 academic year pay £1,350 for that year. Fees for 2018/19 entry have not yet been set.
Students studying abroad for less than one academic year will pay full fees according to their fee status.
Kent offers generous financial support schemes to assist eligible undergraduate students during their studies. See our funding page for more details.
You may be eligible for government finance to help pay for the costs of studying. See the Government's student finance website.
Scholarships are available for excellence in academic performance, sport and music and are awarded on merit. For further information on the range of awards available and to make an application see our scholarships website.
The Kent Scholarship for Academic Excellence
At Kent we recognise, encourage and reward excellence. We have created the Kent Scholarship for Academic Excellence.
For 2018/19 entry, the scholarship will be awarded to any applicant who achieves a minimum of AAA over three A levels, or the equivalent qualifications (including BTEC and IB) as specified on our scholarships pages.
The scholarship is also extended to those who achieve AAB at A level (or specified equivalents) where one of the subjects is either Mathematics or a Modern Foreign Language. Please review the eligibility criteria.