An understanding of Advanced Digital Systems Engineering is vital to the design of most modern electronic devices and systems. The Advanced Digital Systems Engineering MSc enables you to develop advanced skills in the major aspects of modern embedded systems design at hardware, software and firmware levels.
Recent advances in chip fabrication technologies now mean that it is possible to use embedded system technology in an increasing number of technically demanding applications and engineers with skills in embedded system design are in high demand. In the EU it has been estimated that over 600,000 new jobs in embedded systems will be created over the next 10 years.
Advanced Digital Systems Engineering has a central role in computer systems, mobile and wireless communications, consumer electronics and automotive engineering and is important in the design of modern instrumentation and measurement systems used for industrial automation and manufacturing processes.
The MSc programme uses practical examples in instrumentation, monitoring, control, computing and communication to illustrate the evolving technology. Graduates are able to develop embedded systems using a variety of technology platforms in a wide range of applications including communications, consumer electronics, automotive electronics, industrial control, instrumentation and measurement.
About the School of Engineering and Digital Arts
The School of Engineering and Digital Arts successfully combines modern engineering and technology with the exciting field of digital media.
Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.
The School undertakes high-quality research that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. There is a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.
We have research funding from the Research Councils UK, European research programmes, a number of industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.
In the Research Excellence Framework (REF) 2014, research by the School of Engineering and Digital Arts was ranked 21st in the UK for research intensity.
An impressive 98% of our research was judged to be of international quality and the School’s environment was judged to be conducive to supporting the development of research of international excellence.
An understanding of Advanced Digital Systems Engineering is vital to the design of most modern electronic devices and systems. Advanced Digital Systems Engineering has a central role in computer systems, mobile and wireless communications, consumer electronics and automotive engineering and is important in the design of modern instrumentation and measurement systems used for industrial automation and manufacturing processes.
The MSc in Advanced Digital Systems Engineering at the University of Kent is designed to produce well qualified, competent engineers able to develop embedded systems using a variety of technology platforms in a wide range of applications including communications, consumer electronics, automotive electronics, industrial control, instrumentation and measurement.
The School has a world class reputation for research in embedded systems and instrumentation and has strong links with other research institutions and industrial organisations in the UK, Europe and the Far East which have helped the department apply its research to a range of industrial projects including using microcontroller, FPGA, DSP and Custom Chip technologies.
It has developed novel solutions to a range of challenging engineering problems in image acquisition and processing, signal analysis, measurement and condition monitoring at high speeds and in harsh environments.
Activities have recently been broadened with the establishment of a control strand which is involved with the development of practically realisable control strategies that yield high levels of performance even in harsh and uncertain industrial settings. Such control strategies are often implemented in embedded systems.
MSc Programme Chair
Advanced Digital Systems Engineering
The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.
|Possible modules may include||Credits||ECTS Credits|
|EL829 - Embedded Real-Time Operating Systems||15||7.5|
EMBEDDED REAL TIME OPERATING SYSTEMS (RTOS)
Operating Systems (OS) and Real-Time Operating Systems (RTOS). Embedded RTOS. Software development methods and tools: Run-time libraries. Writing a library. Porting kernels. Concurrent Programming and Concurrent Programming Constructs. Task Scheduling and Task Interaction. Basic Scheduling methods, scheduling algorithms. Tasks, threads and processes. Context switching. Multitasking. Communication, Synchronisation. Semaphores and critical sections. Example RTOS systems. (e.g. Embedded Linux, Windows CE, Micrium, VxWorks etc). Programming and debugging Embedded Systems. Practical examples and case studies.
Embedded Processors; Hard and Soft Processor Macros (e.g. Altera Nios and Xilinx Microblaze, ARM). A brief overview of peripherals. Architectural Models. HW/SW Partitioning and partitioning algorithms. Distributed systems. Memory architectures, architectures for control-dominated systems. Architectures for data-dominated systems. Compilation techniques for embedded processor architectures. Modern embedded architectures. Architecture examples in multimedia, wireless and telecommunications. Examples of emerging architectures. Multiprocessor and multicore systems.
|EL849 - Research Methods & Project Design||30||15|
Introduction to Matlab
Introduces the basics of the Matlab and Simulink programme environment and prepares the students for the Introduction to Matlab workshops.
Introductiion to the MSc Projects
Overall timetable and plan for the individual and group projects
Writing Better Technical English
As scientists and engineers, an ability to communicate information clearly through the written word is central to our professional activities. Whether we are publishing our research in an academic journal, writing a report for our employers or just summarising a piece of work for our records, the way in which we write will directly influence the quality and value of what we do.
In these lectures we will look at what determines the quality of formal writing, and how we can maximise the impact and clarity of what we write. Whether English is our native language or a second language, it is important critically to examine how we write if we are to express what we have to say in the best possible way. We will begin by examining the benefits of making more effort in our writing, and we will survey some of the common errors which often occur, showing how these can have an effect not just on the ease with which our work can be understood and absorbed but also on the precise meaning of what we say. We will explore some strategies for improving writing quality, and will consider some guidelines for the development of longer-term writing skills. We will explore a number of examples of "good" and "bad" writing, and everyone will have an
opportunity to take part in some simple exercises.
Literature Review: Techniques and Tools
Surveys using networked electronic information sources, on-line databases, inter-library loan facilities, private communications, etc. Identification of a technical area worthy of research, definition of the state- of -the-art in a given field, definition of the research project, and research proposals. Patent search.
Research Project Management
Time management. Resources management. Project management software (MS Project). Use of logbooks. Data management. Data security. Team working skills.
Structure, content and procedures. Project reports and theses. Journal and conference papers. Technical presentations. Use of references. Writing up of abstract, introduction and conclusions. Submission, refereeing and amendments. Effective use of figures, drawings and tables. MS WORD, ENDNOTE and LATEX.
Presentations and Research Results
Objectives and structure. Audience analysis. Rehearsal and delivery. Design of visual aids. Use of computerized projection facilities. Multi-media approach. Poster design and poster presentation. Handling questions.
Interllectual Property Rights
Patents, patent rights and know-how. Copyright and copying. Design rights and registered designs. Research contracts and agreements. Confidentiality agreement.
Ethics in engineering research. Research supervision. Modelling and simulation versus real experimental work. Processing and presentation of experimental data. Obfuscation in writing up research papers.
Understanding systems definitions, the context of projects and levels of systems engineering. System boundaries. Capturing requirements. System design methods. Validation and verification.
Project management phases, Tucker's team building model. People, psychological types. Influencing others and managing people. Leadership styles
|EL871 - Digital Signal Processing (DSP)||15||7.5|
Introduction to signals and signal analysis. Frequency and time domain representations of signals. A review of the Fourier Series, Fourier Transform and Laplace Transforms. Noise: definitions and sources of noise in signal analysis.
DIGITAL SIGNAL PROCESSING
The sampling theorem, Aliasing, Anti-Aliasing and Anti-Imaging Filters, ADCs and DACs. The Fourier Transform (FT). The Discrete Fourier Transform (DFT) and The Fast Fourier Transform (FFT).The Z-transform. Pole-Zero placement methods for signal analysis. Transfer functions in S and Z domains. Theory, design and performance of Finite Impulse-Response (FIR) and Infinite-Impulse-Response (IIR) Filters. Multirate DSP. Architectures and devices for digital signal processing. Effects of Finite Precision.
APPLICATIONS OF DSP
Processing and filtering of signals for Instrumentation and measurement, Processing and filtering of images: DSP in modern communication systems.
The six workshop assignments use MATLAB and SIMULINK to develop and explore concepts that have been introduced in the lectures.
|EL875 - Advanced Sensors & Instrumentation Systems||15||7.5|
SENSORS AND SENSING SYSTEMS
Measurement terminology: Input and output, range, accuracy, precision, resolution, sensitivity, linearity, repeatability, reproducibility, calibration and traceability.
Sensors and transducers: Temperature sensors, resistive sensors, capacitive sensors, electrostatic sensors, piezoelectric sensors, optical sensors, ultrasonic sensors, radiological sensors and MEMS.
Optical sensing techniques: IR sensors, passive IR sensors, photo-resistive sensors, photovoltaic sensors, photodiodes, photoelectric detectors, solid state lasers.
Signal processing techniques: theories and applications of auto-correlation and cross-correlation.
IMAGING BASED MEASUREMENT AND MONITORING TECHNIQUES
Digital imaging technologies: architectures of CCD and CMOS (structure of sensor array, charge generation, collection and transfer, frame readout, digitisation), characteristics of CCD and CMOS (resolution, gain, dynamic range, spectral response, linearity, noise and sensitivity), colour generation, CCD vs CMOS, camera interfaces, special cameras.
Image processing techniques: Image array, image enhancement and filtering, histogram modification, edge detection and segmentation, feature extraction, Fourier domain representations and filtering.
Imaging systems: CCD/CMOS camera based measurement and detection systems, (passive imaging, laser-based systems), industrial process tomography (IPT), stereoscopic imaging systems, case study.
INTELLIGENT MEASUREMENT AND MONITORING TECHNIQUES
Soft computing techniques for measurement and monitoring.
Advanced analysis: combined time and frequency domain methods. Smart sensors, 'soft' sensors, virtual instruments and systems, intelligent monitoring. Regression analysis, artificial neural network, support vector machine, fuzzy logic, pattern recognition.
INDUSTRIAL CASE STUDIES
Real-life examples of sensors, sensor systems, imaging based measurement and monitoring techniques, in particular hot-wire anemometer, piezoelectric force transducer, on-line particle sizing, pulverised fuel flow metering, on-line fuel tracking, flame stability monitoring, flame imaging, flame tomography, characterization of diesel sprays, on-line inspection of welding processes, and food grain classification/authentication.
|EL893 - Reconfigurable Architectures||15||7.5|
An Introduction to reconfigurable systems. PLDs, PLAs, FPGAs. Fine grain architectures, Coarse grain architectures, Heterogeneous device Architectures. Case studies. Configuration of FPGA's. Run-time configuration, partial configuration, dynamic reconfiguration. Partitioning systems onto a reconfigurable fabric. Synthesis tools. Timing issues. Verification and Test strategies.
An introduction to Hardware Description Languages. VHDL will be used to illustrate a typical HDL (but this may change to or include Verilog in future). The lectures will define the architectural aspects of a VHDL : entity, architecture, process, package, types, operators, libraries, hierarchy, test benches and synthesisable VHDL. Workshops and laboratories will be used to illustrate how VHDL code is synthesised on to physical hardware devices and a number of challenging practical design examples will be used to illustrate the process.
Basic computer arithmetic and its implementation on reconfigurable logic architectures. Fixed-point and Floating point number representations. The IEEE-754 FP standard. Redundant Number Systems. Residue Number Systems. Methods for Addition and Subtraction. Fast adder architectures. Multi-operand addition. Multiplication: Multiplier architectures; Constant coefficient multipliers; Distributed arithmetic; LUT methods. Special methods: division, square root, the CORDIC algorithm. High-throughput arithmetic. Low-power arithmetic.
|EL896 - Computer and Microcontroller Architectures||15||7.5|
This module focuses on the basic principles of modern computer architecture and how they are mapped onto modern (32-bit) microcontrollers. The course uses the ARM processor core as an exemplar of a modern processor architecture that is now ubiquitous in embedded systems. The course will cover classic topics in architecture (CPU and ALU structure, Instruction sets, memory and memory) and performance metrics for evaluating the relative performance of different architectures such as RISC vs CISC and also VLIW, SIMD, MIMD, ASSP and DSP devices.
The NXP 1786 (mbed) microcontroller is used as an example microcontroller development platform and industry standard IDE's from Keil/IAR are used to program, test and debug them. The course includes a comprehensive presentation of typical microcontroller peripherals: ADCs and DACs, Timers and Input Capture, communication using IIC, SPI, UART. Displays. Interrupts and Interrupt Service Routines (ISRs).
The course also provides an introduction to the C and C++ programming languages and their use with microcontroller based systems. This material will include: Variables, data-types and arithmetic expressions. Strings, Loops, Arrays. Functions, Structures, Pointers, bit operators. The pre-processor. I/O operations in C. Debugging Programs. Object-Oriented Programming. The Standard C Library.
Issues such as software testing and testing strategies are discussed. Compiling and downloading code onto the mbed using commercial Integrated Development Environments such as Keil® and IAR®. GNU based toolchains for Microcontroller development.
|EL822 - Communication Networks||15||7.5|
Local Area Networks
Ethernet technologies and standards; switched Ethernet and STP; virtual LANs; wireless LANs and WiFi. Personal area network technologies and standards for the Internet of Things: Bluetooth, ZigBee, LoWPAN.
IP Networks: IPv4 and IPv6 addressing, operation; routing protocols; Mobile IP; transport layer (TCP/UDP) and application layer protocols, including real-time protocols.
Network security and encryption mechanisms
IPSec and other security protocols. Network performance analysis, queuing theory, and network simulation.
|EL876 - Advanced Control Systems||15||7.5|
This course is concerned with the design of practical feedback controllers. Feedback is used in a control system to change the dynamics of the plant or process, and to reduce the sensitivity of the system to uncertainty from external signals (for example, disturbances and noise) and model uncertainty. If the performance specifications are achieved in the presence of the expected uncertainties, then the control is said to be robust.
CONTROL FUNDEMENTALS AND MODELLING
Methods for modelling engineering processes, state space representation, controllability and observability. The feedback control paradigm.
DIGITAL FEEDBACK CONTROL
Implications of digital implementation of feedback control systems. Controller Emulation Methods. Direct digital design of feedback control systems. Case study examples.
NONLINEAR CONTROL SYSTEMS
Characteristics of nonlinear system behaviour, Phase-plane methods, Variable-structure systems and sliding-mode control. Case study examples.
Digital control design, modelling and control fundamentals, nonlinear control techniques.
Advanced Control Systems
INDUSTRIAL CASE STUDY
A real-life, open-ended control problem will be assigned to each student for suitable solution
|EL890 - MSc Project||60||30|
A major practical system will be developed either in an industrial context or within the department. There are no formal lectures - students will undertake the work in their own time under the regular supervision of a member of the academic staff and, where appropriate, industrial collaborators.
Teaching and Assessment
The project module is examined by a presentation and dissertation. The Research Methods and Project Design module is examined by several components of continuous assessment. The other modules are assessed by examinations and smaller components of continuous assessment. MSc students must gain credit from all the modules. For the PDip, you must gain at least 120 credits in total, and pass certain modules to meet the learning outcomes of the PDip programme.
This programme aims to:
- educate graduate engineers and equip them with advanced knowledge of embedded systems and electronic instrumentation for careers in research and development in industry or academia
- produce high-calibre engineers with experience in specialist and complex problem-solving skills and techniques needed for embedded and advanced instrumentation systems in a number of application areas including (but not exclusive to) communications, real-time embedded computer systems, image processing, instrumentation and control
- provide you with proper academic guidance and welfare support
- create an atmosphere of co-operation and partnership between staff and students, and offer you an environment where you can develop your potential
- strengthen and expand opportunities for industrial collaboration with the School of Engineering and Digital Arts.
Knowledge and understanding
You gain knowledge and understanding of:
- methodologies of research which are essential to engineers involved in research and development projects. Such methods also form an essential part of the individual project undertaken on the MSc programmes, which is itself research-based
- embedded electronic and instrumentation systems and an awareness of developing technologies in this field
- mathematical and computer models for analysis of embedded systems and instrumentation
- design processes relevant to embedded electronic and instrumentation systems
- extensive knowledge of characteristics of materials, equipment, processes and products such as microcontrollers, FPGAs, real-time operating systems, image processing architectures and device, and digital communication systems and networks processes.
You develop intellectual skills in:
- the ability to use fundamental knowledge to explore new and emerging technologies
- the ability to understand the limitations of mathematical and computer-based problem-solving and assess the impact in particular cases
- the ability to extract data pertinent to an unfamiliar problem and apply it in the solution
- the ability to analyse a problem and to independently develop a system-level specification of a solution, based on a sound conceptual understanding of the component parts of the system and how they may best be implemented
- the ability to apply engineering techniques, taking account of commercial and industrial constraints.
You gain subject-specific skills in:
- the ability to apply knowledge of design processes in unfamiliar situations and to generate innovative designs to fulfil new needs, particularly in the fields of embedded systems and instrumentation
- the ability to design, debug and test hardware/software systems through experiment and simulation. To be able to critically evaluate the results
- to be able to use a range of CAD tools to analyse problems and develop original/innovative solutions
- an ability to search and obtain technical information, critically evaluate it and apply it to a design
- an ability to act independently in the planning, resource allocation and execution of a project
- an ability to prepare and present technical and non-technical reports and presentations.
You gain the following transferable skills:
- the ability to generate, analyse, present and interpret data
- use of information and communications technology, project management and presentation tools
- personal and interpersonal skills, the exercise of initiative and personal responsibility as an individual and work as a member of a team
- an ability to communicate effectively, in writing, verbally and through drawings
- the ability to make decisions in complex situations using critical thinking, reasoning and reflection
- an ability to communicate effectively to different audiences using a range of digital media techniques and to present complex data clearly, using good written English
- the ability to learn independently for the purpose of continuing professional development
- the ability to manage time and resources within an individual and group project.
Kent has an excellent record of postgraduate employment: over 96% of our postgraduate students who graduated in 2015 found a job or further study opportunity within six months.
We have developed the programme with a number of industrial organisations, which means that successful students will be in a strong position to build long-term careers in this important discipline.
The School of Engineering and Digital Arts has an excellent record of student employability. We are committed to enhancing the employability of all our students, to equip you with the skills and knowledge to succeed in a competitive, fast-moving, knowledge-based economy.
Graduates who can show that they have developed transferable skills and valuable experience are better prepared to start their careers and are more attractive to potential employers. Within the School of Engineering and Digital Arts, you can develop the skills and capabilities that employers seek. These include problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.
Building on Kent’s success as the region’s leading institution for student employability, we offer many opportunities for you to gain worthwhile experience and develop the specific skills and aptitudes that employers value.
The School is well equipped with a wide range of laboratory and computing facilities and software packages for teaching and research support. There is a variety of hardware and software for image acquisition and processing, as well as extensive multimedia computing resources. The School has facilities for designing embedded systems using programmable logic and ASIC technology, supported by CAD tools and development software from international companies, including Cadence™, Xilinx™, Synopsys™, Altera™, National Instruments® and Mentor Graphics™. The SMT laboratory can be used for prototyping and small-volume PCB manufacture. A well-equipped instrumentation research laboratory is also available.
Students also have access to commercial and in-house software tools for designing microwave, RF, optoelectronics and antenna systems (such as ADS™, CST™, HFSS™) and subsequent testing with network and spectrum analysers up to 110 GHz, an on-wafer prober, and high-quality anechoic chambers.
As a postgraduate student, you are part of a thriving research community and receive support through a wide-ranging programme of individual supervision, specialised research seminars, general skills training programmes, and general departmental colloquia, usually with external speakers. We encourage you to attend and present your work at major conferences, as well as taking part in our internal conference and seminar programmes.
Dynamic publishing culture
Staff publish regularly and widely in journals, conference proceedings and books. Recent contributions include: IEEE Transactions; IET Journals; Electronics Letters; Applied Physics; Computers in Human Behaviour.
Global Skills Award
All students registered for a taught Master's programme are eligible to apply for a place on our Global Skills Award Programme. The programme is designed to broaden your understanding of global issues and current affairs as well as to develop personal skills which will enhance your employability.
A 2.2 or higher honours degree in electronics, computing, computer science, physics or a related electronics subject.
All applicants are considered on an individual basis and additional qualifications, and professional qualifications and experience will also be taken into account when considering applications.
Please see our International Student website for entry requirements by country and other relevant information for your country.
Meet our staff in your country
For more advice about applying to Kent, you can meet our staff at a range of international events.
English language entry requirements
For detailed information see our English language requirements web pages.
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 through Kent International Pathways.
Instrumentation, Control and Embedded Systems
The Instrumentation, Control and Embedded Systems Research Group comprises a mixture of highly experienced, young and vibrant academics working in three complementary research themes – embedded systems, instrumentation and control. The Group has established a major reputation in recent years for solving challenging scientific and technical problems across a range of industrial sectors, and has strong links with many European countries through EU-funded research programmes. The Group also has a history of industrial collaboration in the UK through Knowledge Transfer Partnerships.
The Group’s main expertise lies primarily in image processing, signal processing, embedded systems, optical sensors, neural networks, and systems on chip and advanced control. It is currently working in the following areas:
- monitoring and characterisation of combustion flames
- flow measurement of particulate solids
- medical instrumentation
- control of autonomous vehicles
- control of time-delay systems
- high-speed architectures for real-time image processing
- novel signal processing architectures based on logarithmic arithmetic.
Staff research interests
Full details of staff research interests can be found on the School's website.
Professor John Batchelor: Professor of Antenna Technology
Design and modelling of multi-band antennas for personal, on-body and mobile communication systems; passive RFID tagging/sensing and skin mounted transfer tattoo tags; reduced-size frequency selective structures (FSS and EBG) for incorporation into smart buildings for control of radio spectrum.View Profile
Dr Farzin Deravi: Reader in Information Engineering
Pattern recognition; information fusion; computer vision; image processing: image coding; fractals and self-similarity; biometrics; bio-signals; assistive technologies.View Profile
Professor Michael Fairhurst: Professor of Computer Vision
Image analysis; computer vision; handwriting analysis; biometrics and security; novel classifier architectures; medical image analysis and diagnostics; document processing.View Profile
Professor Steven Gao: Professor of RF/Microwave Engineering
Space antennas; smart antennas; microwave circuit and systems.View Profile
Professor Nathan Gomes: Professor of Optical Fibre Communications
Optical-microwave interactions, especially fibreradio networks; optoelectronic devices and optical networks.View Profile
Dr Richard Guest: Senior Lecturer & Deputy Head of School
Image processing; biometrics technologies including usability, cybermetric linkages and standardisation; automated analysis of handwritten data; document processing.View Profile
Dr Sanaul Hoque: Lecturer in Secure Systems Engineering
Computer vision; OCR; biometrics; security and encryption; multi-expert fusion and document modelling.View Profile
Dr Gareth Howells: Reader in Secure Electronic Systems
Biometric security and pattern classification techniques especially deriving encryption keys from operating characteristics of electronic circuits and systems.View Profile
Dr Benito Sanz-Izquierdo: Lecturer in Electronic Systems
Antennas and microwaves.View Profile
Dr Peter Lee: Senior Lecturer in Electronic Engineering
Embedded systems; programmable architectures; high-speed signal processing; VLSI/ASIC design; neural networks; optical sensor systems and applications; image processing using VLSI.View Profile
Dr Gang Lu: Senior Lecturer in Electronic Instrumentation
Advanced combustion instrumentation; visionbased instrumentation systems; digital image processing; condition monitoring.View Profile
Dr Gianluca Marcelli: Lecturer in Engineering
The understanding of complex systems, in particular, biological and financial systems; using mathematical modelling such as molecular simulation, Brownian dynamics and network theory.View Profile
Mr Robert Oven: Senior Lecturer in Electronic Engineering
Modelling of ion implantation processes and ion diffusion into glass for integrated optic applications.View Profile
Dr Konstantinos Sirlantzis: Senior Lecturer in Intelligent Systems
Pattern recognition; multiple classifier systems; artificial intelligence techniques; neural networks, genetic algorithms, and other biologically inspired computing paradigms; image processing; multimodal biometric models; handwriting recognition; numerical stochastic optimisation algorithms; nonlinear dynamics and chaos theory; Markov chain Monte Carlo (MCMC) methods for sensor data fusion.View Profile
Dr Les Walczowski: Senior Lecturer in Electronic Engineering
The development of dynamic web applications, mobile applications and e-learning technology.View Profile
Winston Waller: Senior Lecturer in Electronic Engineering
Design for test; analogue and digital VLSI design; medical applications of VLSI and low power voltage circuit design.View Profile
Dr Chao Wang: Lecturer in Electronic Systems
Optical communications; microwave photonics; biophotonics.View Profile
Professor Jiangzhou Wang: Professor of Telecommunications and Head of School
Modulation; coding; MIMO; mobile communications; wireless sensor networks.View Profile
Dr Xinggang Yan: Lecturer in Control Engineering
Nonlinear control; sliding mode control; decentralised control; fault detection and isolation.View Profile
Professor Yong Yan: Professor of Electronic Instrumentation; Director of Research
Sensors; instrumentation; measurement; condition monitoring; digital signal processing; digital image processing; applications of artificial intelligence.View Profile
Dr Paul Young: Senior Lecturer in Electronic Engineering
Design and modelling of microwave and millimetrewave devices and antennas, especially substrate integrated waveguides and smart antennas.View Profile
The 2017/18 annual tuition fees for this programme are:
|Embedded Systems and Instrumentation - MSc at Canterbury:|
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.*
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.