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Masters Degrees (Adaptive System)

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The brain, the immune system and the formation of clouds, are all examples of complex adaptive systems comprising of many interacting components, often non linear and dynamic, leading to multiple levels of collective structures and organization. Read more
The brain, the immune system and the formation of clouds, are all examples of complex adaptive systems comprising of many interacting components, often non linear and dynamic, leading to multiple levels of collective structures and organization.

Inspired by complex adaptive systems in nature, several new methods for information processing have emerged: artificial neural networks resemble neurobiology; genetic algorithms and genetic programming are based on evolutionary processes in nature; the construction of artificial life, the design of autonomous robots and software agents are based on the behaviour of living systems.

Programme description

To understand the dynamics of increasingly complex phenomena where standard simulation methods are inadequate, stochastic algorithms, game theory, adaptive programming, self similarity, chaos theory and statistical methods are used to describe and increase our understanding of complex systems in nature and society, in the end trying to predict the unpredictable.
Examples are gene-regulation networks, the motion of dust particles in turbulent air or the dynamics of financial markets.

One example is fluctuations of share and option prices determining the stability of our economy. Other examples are the dynamics of dust particles in the exhaust of diesel engines, the dynamics of biological or artificial populations, earthquake prediction, and last but not least adaptive learning: the problem of teaching a robot how to respond to unexpected changes in its environment.

Truly interdisciplinary and encompassing several theoretical frameworks, this programme provides you with a broad and thorough introduction to the theory of complex systems and its applications to the world around us. The programme is based on a physics perspective with a focus on general principles, but it also provides courses in information theory, computer science and optimisation algorithms, ecology and genetics as well as adaptive systems and robotics.

Educational methods

Besides traditional lectures on simulation and theory of complex systems, the programme is largely based on numerical calculation and simulation projects and depending on course selection possibly practical work in the robotics lab.

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If you wish to embark on an exciting career in the area of control systems and engineering or are a practising engineer who wishes to update their skills then this is the course for you. Read more
If you wish to embark on an exciting career in the area of control systems and engineering or are a practising engineer who wishes to update their skills then this is the course for you.

This is a challenging course which covers all the major aspects of automatic control systems engineering.

WHY CHOOSE THIS COURSE?

This course covers all the major aspects of automatic control systems engineering, with modules ranging from classical control system design to optimal, adaptive and intelligent control systems, including an introduction to artificial neural networks and evolutionary computing.

This Course has been awarded accreditations from the IET and InstMC.

WHAT WILL I LEARN?

All students study Seven fundamental modules which serve to underpin the remainder of the course:
-Maths & Computing for Control
-Linear Control Engineering
-Digital Computer Control Systems
-Non-Linear Control engineering
-System Identification, Parameter Estimation & Filtering
-Self-Tuning and Adaptive Control
-Control Systems Engineering Project

The remaining Option Topics on the course are:
-Digital Computer Control Systems;
-Simulation of Systems
-Data Acquisition and Embedded Control
-Signal and Image Processing
-Artificial Intelligence for Control
-Single Independent Study

(Students are required to select from the modules above to complete a total of 30 credits.)

In addition, the masters project can be tailored to suit the interests of each individual, and have included in the past: Adaptive model based control of a hot steel rolling mill; Comparison of rule-based and model based control systems; Identification of diesel engine characteristics from operating records and Development of a fuzzy logic gas engine speed controller.

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

On completion of this course you can expect to pursue a career in the area of control and systems engineering.

The course also provides the necessary groundwork for a career in research in academia or another such research organisation, including our own Control Theory and Applications Centre (CTAC) and Applied Mathematics Research Group (AMRC).

GLOBAL LEADERS PROGRAMME

To prepare students for the challenges of the global employment market and to strengthen and develop their broader personal and professional skills Coventry University has developed a unique Global Leaders Programme.

The objectives of the programme, in which postgraduate and eligible undergraduate students can participate, is to provide practical career workshops and enable participants to experience different business cultures.

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For Details see below. The deadline for Applicants who graduated outside of Europe allready expired. This international oriented 2-year master’s degree programme is based on the following pillars. Read more

Application for EU graduates until 30 September 2016

For Details see below. The deadline for Applicants who graduated outside of Europe allready expired.

About the Program

This international oriented 2-year master’s degree programme is based on the following pillars:
▪ The study of a range of topics within the field of human-computer interaction: usability, user-centred design and user interface testing and research, and innovative interface technologies such as virtual reality, mobile systems, adaptive systems, mixed reality, ubiquitous computing and graphic interfaces.
▪ Acquisition of key skills and competences through a project-based study approach.

In the English-language Human-Computer Interaction M.Sc. programme, students focus on theoretical and practical issues in current computer science research in the fields of user-centered design, interactive system development and evaluation. In addition, this technically-oriented HCI master offers the opportunity to participate in interdisciplinary projects and attend courses from Architecture and Urbanism, Art and Design, Media Studies and Media Management.

In general, our programme aims at people with a bachelor’s degree or minor in computer science. The medium of instruction for all mandatory courses is English. The program has received accreditation by Acquin until 30.09.2020 in April 2015.

More Information under https://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/human-computer-interaction-msc/

Program Structure

The programme comprises 120 ECTS, distributed into the following components:
▪ Four compulsory modules (Advanced HCI, Information Processing and Presentation, Virtual/Augmented Reality and Mobile HCI), each comprising 9 ECTS.
▪ Elective module (24 ECTS in total).
▪ Two research projects (15 ECTS each).
▪ The Master’s thesis module (30 ECTS).

In accordance with the Weimar Bauhaus model, research-oriented projects contribute towards a large proportion of the master’s programme. The elective modules allows students to incorporate courses from other degree programmes such as Media Studies, Media Management, Architecture and Urbanism, and Art and Design alongside the general Computer Science and Media course catalogue. Graded language courses up to 6 ECTS may also be included, or an additional HCI related project. The fourth and final semester is dedicated to the master’s thesis.

Further information on the curriculum : https://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/curriculum-master-hci/

Career Perspectives

The HCI Master was developed based upon our experiences with the long-standing Computer Science & Media Master program. CS&M graduates have all readily found employment in industry and academia, in R&D departments at large companies (e.g. Volkswagen, BMW), research institutes (e.g. Fraunhofer), as well as at universities, with many continuing into a PhD.

Usability is becoming more and more important for computer systems as computers are embedded in many aspects of everyday life. The ability to design complex systems and interfaces with regard to usability and appropriateness for the usage context increases in importance. HCI graduates can work both in software development, in particular in conception and development of novel interface technologies, and in the area of usability and user research, which both grow in demand on the job market. Our unique project-based study approach provides graduates with a skill set that qualifies them both for research and industry careers.

Studying in Weimar

The Bauhaus, the most influential design school in the 20th century, was founded in 1919 in our main building. A tie to this history was established in the renaming as Bauhaus-Universität Weimar in 1996. We are an international university in the unique, cultural city of Weimar. We are a vibrant institution, not a museum. Experimentation and excellence prevail throughout the 4 faculties where transdisciplinary projects and co-operations in research and education are conducted.

Weimar is a medium-sized city with UNESCO World Cultural Heritage sites. It is known for its connection to literature, the arts and music and also has a music university. The affordable living costs in this area of Germany and the rich cultural program of Weimar make it a very attractive location for students.

Application Process

Applicants who graduated outside of Europe apply online at: http://www.uni-assist.de.
Applicants who graduated in Europe and do not require a visa apply online at: Online-Application.

For details see http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/application-master-hci/

Many typical questions about the program, application process and requirements are answered in our FAQ http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/faq-application-hci/

Requirements

Higher Education Entrance Qualification:

Students need a school leaving certificate for studies completed at secondary education level. The formal entrance qualifications for international students are checked by uni-assist (see application process).

Academic Background in Computer Science (CS):

You need some academic background in CS, such as a bachelor's degree in CS, business informatics, HCI or related areas with a focus on CS and HCI. Students with a minor in computer science (at least 60 European Credit Points) may apply, here, decisions are on a case-by-case-base.

Only diplomas of international accredited universities will be accepted. Non-academic, practical experience in computer science alone does not suffice to qualify you.

Sufficient Marks from previous studies:

If the converted credit-weighted average grade of your Bachelor's degree is between 1.0 and 2.0 in the German system, your chances of acceptance are very good. Uni-assist does the conversion into the German system.

Language Requirements:

See http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/application-master-hci/

The medium of instruction is English, some electives can be taken in German. B2 level (CEFR) of English proficiency is needed. We require a standardised language certificate (unless your bachelor degree was done in a native-English speaking country). We accept three types of language proficiency certificates:

TOEFL (80 internet-based, 550 paper-based at minimum)
IELTS (6.0 minimum)
ESOL Cambridge First Certificate in English

To be admitted, international students have to provide proof of German proficiency at level A1 (CEFR). This is required for registration to the program. You can apply before having the A1 certificate, but might need to show you are registered for the exam for your visum.


Motivational Letter and CV:

We highly recommend a detailed CV and motivation letter. Please do not send lengthy standard letters. Make clear you know our curriculum and point out why you chose our programme, and describe your specific interest in HCI i and why you want to specialize in this area.

Further information

Please check our FAQ
http://www.uni-weimar.de/en/media/studies/computer-science-and-media-hci/faq-application-hci/


link to Video by an international Master student (from the sibling program) talking about her experiences: https://vimeo.com/77485926

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This programme will not have a 2016 intake as the content is being extensively improved. A one-year course that will provide engineering and science graduates with a thorough knowledge of modern radio and mobile communication systems. Read more

NOTE

This programme will not have a 2016 intake as the content is being extensively improved.

A one-year course that will provide engineering and science graduates with a thorough knowledge of modern radio and mobile communication systems.

AIM OF COURSE

Mobile radio encompasses a diversity of communications requirements and technical solutions including cellular mobile radio and data systems (eg GSM, GPRS, 3G, 4G, WiMax) and Personal Mobile Radio as well as various indoor radio systems including Bluetooth, WIFI, Wireless Indoor Networks (WINs or LANs). In view of the huge size of the market for these enhanced systems providing flexible personal communications, it is important that industry equips itself to meet this challenge. This MSc course aims to provide industry with graduates who possess a thorough knowledge both of actual modern radio systems and of the fundamental principles and design constraints embodied in those systems.

COURSE STRUCTURE

The course spans 50 weeks of full-time study and is divided into teaching and project modules. The teaching block is based on 6 modular courses, each comprising approximately 40 hours of lectures (or lecture equivalents) with additional directed study and practical work. All of these modules are augmented by specific case studies, applications and tutorials.

COURSE HIGHLIGHTS

Radio Systems Engineering
A radio receiver design is analysed in detail so that design compromises may be understood. Topics include gain, selectivity, noise figure, dynamic range, intermodulation, spurious output, receiver structures, mixers, oscillators, PLL synthesis, filters and future design trends. This course also includes familiarisation with industry - standard design packages. Introduces key concepts in conventional and novel antenna design. It incovers the following topics: basic antenna structures (eg wire, reflector, patch and helical antennas); design considerations for fixed and mobile communication systems; phased array antennas; conformal and volume arrays; array factor and pattern multiplication; mutual coupling; isolated and embedded element patterns; active match; true time delay systems; pattern synthesis techniques; adaptive antennas; adaptive beamforming and nulling.

Mobile Radio Systems and Propagation
The aim of this module is to investigate the nature of radio propagation in mobile radio environments. This will be achieved through the examination of several modern mobile radio systems. The effects of the propagation environment will also be considered.

Spectrum Management and Utilization
The electromagnetic spectrum is a finite resource which has to be properly managed. This module will address issues related to spectrum management. Topics covered will include: spectrum as a resource; space, time and bandwidth; international regulation organisations and control methods; definitions of spectrum utilisation and spectrum utilisation efficiency; spectrum-consuming properties of radio systems; protection ratio; frequency dependent rejection and the F-D curve; spectrum management tools, models and databases; spectrally-efficient techniques; efficient use of the spectrum.

Electromagnetic Compatability (EMC)
This module provides an introduction to EMC. Topics include fundamental EM interactions and how these give rise to potential incompatibilities between systems; current EMC legislation; test environments and test facilities.

Communication Systems and Digital Signal Processing
Students are introduced to a range of concepts underpinning communications system design. DSP topics include the theory and applications of: real-time DSP concepts/devices; specialist filter applications; A/D and D/A interface technology; review of Fourier/digital filter applicable to DSP; modem design: modulation, demodulation, synchronisation, equalisation; signal analysis and synthesis in time and frequency domain; hands-on experience of DSP tools and DSP applications.

Low Power/Low Voltage Design and VHDL
This module introduces the low power and low voltage design requirements brought about by increasingly small scale sizes of circuit integration. The module also introduces students to VHDL, which is widely used in industry today.

Design Exercise (RF Engineering)
This self-contained exercise aims to introduce the student to aspects of RF engineering, system specification, design and implementation. A design, such as a 2GHz receiver, will be taken through to practical implementation.

Radio Frequency and Microwave Measurements
This covers the theory of EM waves, propagation and scattering. It introduces the student to methods and instruments to measure important EM wave properties such as power and reflection coeffcients.

Active RF and Microwave Circuits
This module provides the student with an appreciation of; noise in microwave systems (basic theory, sources of noise, noise power and temperature, noise figure and measurement of noise); detectors and mixers (diodes and rectification, PIN diodes, single ended mixers, balanced mixers, intermodulation products); microwave amplifiers and oscillators (microwave bipolar transistors and FETs, gain and stability, power gain, design of single stage transistor amlifier, conjugate matching, low noise amplifier design and transistor oscillator design).

PROJECT MODULE
Following a course on research skills and project planning, each student carries out one major project from Easter to September focusing on a real industrial problem. Some projects are carried out ‘on-site’ with our local and national industrial partners. The basics of project planning and structure are taught and supervision will be given whilst the student is writing a dissertation for submission at the end of the course.

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The Institute for Integrated Micro and Nano Systems brings together researchers from integrated-circuit design, system-on-chip design, image-sensor design, bioelectronics, micro/nano-fabrication, microelectromechanical systems (MEMS), micromachining, neural computation and reconfigurable and adaptive computing. Read more

Research profile

The Institute for Integrated Micro and Nano Systems brings together researchers from integrated-circuit design, system-on-chip design, image-sensor design, bioelectronics, micro/nano-fabrication, microelectromechanical systems (MEMS), micromachining, neural computation and reconfigurable and adaptive computing.

Research interests include:

low-level analogue, low-power, adaptive and bio-inspired approaches
system-on-chip computing
applications from telecommunications to finance and astronomy
In addition we have a strong and growing interest in applications relating to life sciences and medicine, with particular focus on bioelectronics, biophotonics and bio-MEMS.

Training and support

The development of transferable skills is a vital part of postgraduate training and a vibrant, interdisciplinary training programme is offered to all research students by the University’s Institute for Academic Development (IAD). The programme concentrates on the professional development of postgraduates, providing courses directly linked to postgraduate study.

Courses run by the IAD are free and have been designed to be as flexible as possible so that you can tailor the content and timing to your own requirements.

Our researchers are strongly encouraged to present their research at conferences and in journal during the course of their PhD.

Every year, the Graduate School organises a Postgraduate Research Conference to showcase the research carried out by students across the Research Institutes

Our researchers are also encouraged and supported to attend transferable skills courses provided by organisations such as the Engineering and Physical Sciences Research Council (EPSRC).

Facilities

The Institute has laboratory facilities that are unique within the UK, including a comprehensive silicon and MEMS micro-fabrication capability coupled with substantial design and test resources.

The Institute has an excellent reputation for commercialising technology.

Research opportunities

We offer a comprehensive range of exciting research opportunities through a choice of postgraduate research degrees: MSc by Research, MPhil and PhD.

Masters by Research

An MSc by Research is based on a research project tailored to a candidate’s interests. It lasts one year full time or two years part time. The project can be a shorter alternative to an MPhil or PhD, or a precursor to either – including the option of an MSc project expanding into MPhil or doctorate work as it evolves. It can also be a mechanism for industry to collaborate with the School.

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Electronic engineering is a discipline at the forefront of advances for modern-day living and continues to push forward technological frontiers. Read more

Why take this course?

Electronic engineering is a discipline at the forefront of advances for modern-day living and continues to push forward technological frontiers.

This course provides relevant, up-to-date skills that will enhance your engineering competencies. You will broaden your knowledge of electronic engineering and strengthen your ability to apply new technologies in the design and implementation of modern systems.

What will I experience?

On this course you can:

Focus on the practical application and design aspects of electronic systems rather than intensive analytical detail
Experiment with our range of control applications including helicopter development kits and walking robots
Access a wide range of powerful and modern multimedia computational facilities, with the latest industry software installed

What opportunities might it lead to?

This course has been accredited by the Institution of Engineering and Technology (IET) and meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). It will provide you with some of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).

Here are some routes our graduates have pursued:

Professional electronics
Design
Research and development
Product manufacture
Project management

Module Details

You will study several key topics and complete a four-month individual project in which you apply your knowledge to a significant, in-depth piece of analysis or design. Projects are tailored to your individual interests and may take place in our own laboratories or, by agreement, in industry.

Here are the units you will study:

VHDL and Digital Systems Design: This unit covers the use of a hardware description language (VHDL) to capture and model the design requirement - whilst programmable logic devices enable an implementation to be explored and tested prior to moving into manufacture. The learning will have a practical bias such that experience as well as theory is gained in completing this unit.

Advanced DSP Techniques: This unit aims to introduce you to the fundamentals of statistical signal processing, with particular emphasis upon classical and modern estimation theory, parametric and nonparametric modelling, time series analysis, least squares methods, and basics of adaptive signal processing.

Mixed Signal Processors: This unit focuses on both control and signal processing hardware, how it works, how to interface to it, and software - how to design it and debug it.

Sensors and Measurement Systems: This unit proposes to introduce you to the technologies underpinning measurements including sensors both in terms of hardware and software. It also aims to provide you with an opportunity to apply classroom knowledge in a practical setting and gain an appreciation of modern day requirements in terms of measurement.

Microwave and Wireless Technology: The unit combines team working via a project based learning activity relating to a significant circuit simulation and design problem with lectures aimed at analysing and applying the characteristics of a range of devices used in the microwave and wireless industries.

Communication System Analysis: This unit focuses on basic principles in the analysis and design of modern communication systems, the workhorses behind the information age. It puts emphasis on the treatment of analogue communications as the necessary background for understanding digital communications.

Programme Assessment

You will be taught through a mixture of lectures, seminars, tutorials (personal and academic), laboratory sessions and project work. The course has a strong practical emphasis and you will spend a significant amount of time in our electronic, communications and computer laboratories.

A range of assessment methods encourages a deeper understanding of engineering and allows you to develop your skills. Here’s how we assess your work:

Written examinations
Coursework
Laboratory-based project work
A major individual project/dissertation

Student Destinations

This course is designed to respond to a growing skills shortage of people with core knowledge in advanced electronic engineering. It is an excellent preparation for a successful career in this ever expanding and dynamic field of modern electronics.

On successful completion of the course, you will have gained the skills and knowledge that will make you attractive to a wide variety of employers with interests ranging from overall system design to the more detailed development of subsystems.

Roles our graduates have taken on include:

Electronics engineer
Product design engineer
Aerospace engineer
Application engineer

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The two-year MSc programme Animal Sciences is a continuation of a BSc in Animal Sciences or an equivalent programme in the field of livestock, companion animals and wildlife. Read more

MSc Animal Sciences

The two-year MSc programme Animal Sciences is a continuation of a BSc in Animal Sciences or an equivalent programme in the field of livestock, companion animals and wildlife.

The focus is to deliver skilled professional animal scientists who are well equipped to tackle problems related to sustainable livestock development as well as to the management of livestock and companion animals. The animal-human interaction plays an important role in this study programme. Themes like animal nutrition, animal health, animal welfare, levels of management, genetic diversity and socio-economic factors are all widely discussed.

Programme summary

Humans interact with animals in many different ways, ranging from raising livestock for food to keeping pets for companion. Animal husbandry and livestock development are not only constrained by technical factors, such as feed supply, animal health, management and genetics, but also by infrastructural and socio-economic factors. Consequently, today’s animal scientists need in-depth scientific training combined with a critical attitude towards all factors that limit the sustainable development of animal husbandry. Our individually tailored programme trains students to become expert animal scientists, well-equipped to tackle relevant issues of livestock and animal management.

Specialisations

Within the MSc Animal Sciences you can choose from various specialisations. Each of the specialisations trains you to become an expert in the field. The specialisations in MSc Animal Sciences are:

Animal Breeding and Genetics
Understanding how genetic differences work and how they can be used in a sustainable manner in a wide range of species plays a central role in this specialisation. Students learn how breeding and genetics can contribute to safe and healthy food from animal origin and how it contributes to the health and welfare of animals.

Animal Nutrition
This specialisation deals with the interaction between animals and their nutrition. Students learn about the way animals digest and convert food by studying the nutrient flows and the physiology of the animals in relation to the composition of feeds. They also learn about the effect of feed in relation to health, welfare and behaviour of the animal.

Applied Zoology
Understanding the relationship between structure and function of all systems within the body is the main focus of this specialisation. Students look at organ structures, hormones, bone structure or the immune system of animals and learn how these systems respond to external influences.

Animal Health and Behaviour
Knowledge of the adaptive capacity of animals is required to be able to determine how to keep an animal healthy and how changes affect the animal. Students learn to study behaviour, stress or immune parameters or energy metabolism to determine e.g. which housing system or feed regime is best for animal health and welfare.

Animal Health Management
How can the risk of transmission of infectious diseases be quantified between and within groups of animals? And which factors are of influence on this process? In this specialisation, students learn to combine animal health management at population level with socioeconomic aspects by studying aspects of veterinary epidemiology.

Animal Production Systems
In this specialisation, students will look at animal production systems in relation to the environment worldwide. Students learn about human and animal interaction. They will also study the environmental, economical and social impact that animal production has on the world.

Professional Tracks and International Programmes
In addition to a specialisation, students can choose a professional track that leads to a specific type of career. You can focus on Research, Education, Communication & Policy, or Business & Management. We also offer international programmes that lead to a double master degree, i.e. in Animal Breeding & Genetics, Sustainable Animal Nutrition & Feeding, European Animal Management, or Animal Welfare Assessment.

Your future career

Our graduates work as nutritionists, policymakers, breeding specialists, advisors, managers, researchers or PhD students. They work for feed manufacturing companies, pharmaceutical companies or breeding organisations but also within regional and national governmental organisations, non-governmental organisations or research institutes and universities.

Alumna Linda van Zutphen.
"I work as a Communication Officer for the Research & Development and Quality Affairs department of Nutreco. This company is a global leader in animal nutrition and fish feed. I am involved in marketing and group communication about innovations, quality and sustainability. During my MSc Animal Sciences, I did my internship at Nutreco’s research facility in Spain. The MSc programme provided me with multidisciplinary knowledge on animal production and the skills to apply this. My job gives me the opportunity to combine my scientific background with my passion for communicating about the applications of our research in products for animal health."

Related programmes:
MSc Biology
MSc Forest and Nature Conservation
MSc Aquaculture and Marine Resource Management
MSc Biosystems Engineering
MSc Organic Agriculture.

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Joining the Department as a postgraduate is certainly a good move. The Department maintains strong research in both pure and applied mathematics, as well as the traditional core of a mathematics department. Read more
Joining the Department as a postgraduate is certainly a good move. The Department maintains strong research in both pure and applied mathematics, as well as the traditional core of a mathematics department. What makes our Department different is the equally strong research in fluid mechanics, scientific computation and statistics.

The quality of research at the postgraduate level is reflected in the scholarly achievements of faculty members, many of whom are recognized as leading authorities in their fields. Research programs often involve collaboration with scholars at an international level, especially in the European, North American and Chinese universities. Renowned academics also take part in the Department's regular colloquia and seminars. The faculty comprises several groups: Pure Mathematics, Applied Mathematics, Probability and Statistics.

Mathematics permeates almost every discipline of science and technology. We believe our comprehensive approach enables inspiring interaction among different faculty members and helps generate new mathematical tools to meet the scientific and technological challenges facing our fast-changing world.

The MPhil program seeks to strengthen students' general background in mathematics and mathematical sciences, and to expose students to the environment and scope of mathematical research. Submission and successful defense of a thesis based on original research are required.

Research Foci

Algebra and Number Theory
The theory of Lie groups, Lie algebras and their representations play an important role in many of the recent development in mathematics and in the interaction of mathematics with physics. Our research includes representation theory of reductive groups, Kac-Moody algebras, quantum groups, and conformal field theory. Number theory has a long and distinguished history, and the concepts and problems relating to the theory have been instrumental in the foundation of a large part of mathematics. Number theory has flourished in recent years, as made evident by the proof of Fermat's Last Theorem. Our research specializes in automorphic forms.

Analysis and Differential Equations
The analysis of real and complex functions plays a fundamental role in mathematics. This is a classical yet still vibrant subject that has a wide range of applications. Differential equations are used to describe many scientific, engineering and economic problems. The theoretical and numerical study of such equations is crucial in understanding and solving problems. Our research areas include complex analysis, exponential asymptotics, functional analysis, nonlinear equations and dynamical systems, and integrable systems.

Geometry and Topology
Geometry and topology provide an essential language describing all kinds of structures in Nature. The subject has been vastly enriched by close interaction with other mathematical fields and with fields of science such as physics, astronomy and mechanics. The result has led to great advances in the subject, as highlighted by the proof of the Poincaré conjecture. Active research areas in the Department include algebraic geometry, differential geometry, low-dimensional topology, equivariant topology, combinatorial topology, and geometrical structures in mathematical physics.

Numerical Analysis
The focus is on the development of advance algorithms and efficient computational schemes. Current research areas include: parallel algorithms, heterogeneous network computing, graph theory, image processing, computational fluid dynamics, singular problems, adaptive grid method, rarefied flow simulations.

Applied Sciences
The applications of mathematics to interdisciplinary science areas include: material science, multiscale modeling, mutliphase flows, evolutionary genetics, environmental science, numerical weather prediction, ocean and coastal modeling, astrophysics and space science.

Probability and Statistics
Statistics, the science of collecting, analyzing, interpreting, and presenting data, is an essential tool in a wide variety of academic disciplines as well as for business, government, medicine and industry. Our research is conducted in four categories. Time Series and Dependent Data: inference from nonstationarity, nonlinearity, long-memory behavior, and continuous time models. Resampling Methodology: block bootstrap, bootstrap for censored data, and Edgeworth and saddle point approximations. Stochastic Processes and Stochastic Analysis: filtering, diffusion and Markov processes, and stochastic approximation and control. Survival Analysis: survival function and errors in variables for general linear models. Probability current research includes limit theory.

Financial Mathematics
This is one of the fastest growing research fields in applied mathematics. International banking and financial firms around the globe are hiring science PhDs who can use advanced analytical and numerical techniques to price financial derivatives and manage portfolio risks. The trend has been accelerating in recent years on numerous fronts, driven both by substantial theoretical advances as well as by a practical need in the industry to develop effective methods to price and hedge increasingly complex financial instruments. Current research areas include pricing models for exotic options, the development of pricing algorithms for complex financial derivatives, credit derivatives, risk management, stochastic analysis of interest rates and related models.

Facilities

The Department enjoys a range of up-to-date facilities and equipment for teaching and research purposes. It has two computer laboratories and a Math Support Center equipped with 100 desktop computers for undergraduate and postgraduate students. The Department also provides an electronic homework system and a storage cloud system to enhance teaching and learning.

To assist computations that require a large amount of processing power in the research area of scientific computation, a High Performance Computing (HPC) laboratory equipped with more than 200 high-speed workstations and servers has been set up. With advanced parallel computing technologies, these powerful computers are capable of delivering 17.2 TFLOPS processing power to solve computationally intensive problems in our innovative research projects. Such equipment helps our faculty and postgraduate students to stay at the forefront of their fields. Research projects in areas such as astrophysics, computational fluid dynamics, financial mathematics, mathematical modeling and simulation in materials science, molecular simulation, numerical ocean modeling, numerical weather prediction and numerical methods for micromagnetics simulations all benefit from our powerful computing facilities.

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Renewable Energy Systems and the Environment is one of the pathways offered in the Sustainable Engineering programme. This course examines the design and operation of the energy systems that provide the environments in which people live and work. Read more

Why this course?

Renewable Energy Systems and the Environment is one of the pathways offered in the Sustainable Engineering programme.

This course examines the design and operation of the energy systems that provide the environments in which people live and work. It explores how quality of life can be balanced by the need for conservation of world resources.

You’ll learn about different energy resources:
- renewable
- fossil
- nuclear

You’ll look at the systems that are employed to control these resources such as:
- combined heat & power schemes
- heat pumps
- solar capture devices
- high efficiency condensing boilers
- advanced materials
- adaptive control systems

You’ll explore the impact energy has on the environment and how it can be reduced.

Our course has been running for over 20 years and has over 400 graduates. External examiners consistently refer to our beneficial links with industry and the high quality of our project work.

Study mode and duration:
- MSc:12 months full-time, up to 36 months part-time
- PgDip: 9 months full-time

See the website https://www.strath.ac.uk/courses/postgraduatetaught/sustainableengineeringrenewableenergysystemstheenvironment/

You’ll study

Studying at least three generic modules will meet the key requirements to attain Chartered Engineer status.

You must take three specialist modules if you’re studying for the Postgraduate Certificate and up to five if you’re studying for a Postgraduate Diploma or MSc.

Successful completion of six modules leads to the award of a Postgraduate Certificate.

Major projects

- Group project
This usually involves four or five students working together. Each project focuses on a particular energy/environment system and includes a technical appraisal, and, where appropriate, an assessment of its cost effectiveness and environmental impact.
At the end of the project, students perform a presentation during the University’s Knowledge Exchange week to invited guests from industry. This event provides an important networking opportunity for students.

- Individual project
The individual project is an opportunity for students to work independently on an energy topic with a more in-depth analysis than the group project.

Accreditation

The course is approved by the Energy Institute, the Institution of Mechanical Engineers and the Royal Aeronautical Society and meets the academic requirements for Chartered Engineer (CEng) status.
Students are encouraged to take up free membership of these professional organisations.

Facilities

Students have access to departmental laboratories with a range of testing equipment. For example, a recent MSc project included the use of sophisticated thermal measurement of thermal storage materials undertaken in the Advanced Materials Research Laboratory.

Student competitions

Students can enter a number of competitions, which vary year-to-year. Recent examples include:
- District Heating and Cooling (DHC+) Student Competition
- Chartered Institution of Building Services Engineers Simulation Group Award for Best MSc Dissertation

- Guest lectures
Students are regularly invited to talks by research visitors from the Energy Systems Research Unit. Talks on career options are also given by representatives of the Energy Institute.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non EU/UK) who do not meet the entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.

To find out more about the courses and opportunities on offer visit isc.strath.ac.uk or call today on +44 (0) 1273 339333 and discuss your education future. You can also complete the online application form. To ask a question please fill in the enquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.

Learning & teaching

The course comprises compulsory technical modules, a choice of broader generic modules, which are recommended by accrediting professional bodies, group projects with industry input, and individual projects.

Teaching methods are varied, and include lectures, discussions, group work, informal reviews, on-line questionnaires, and computer modelling laboratories.

Assessment

Assessment of taught modules are by written assignments and exams. Group projects are assessed by project websites and presentations. Individual projects are assessed on the submitted thesis.

Careers

- Where are they now?
100% of our graduates are in work or further study.*

Job titles include:
- Artificial Intelligence Engineer
- Biomass Engineer
- Renewable Energy Consultant
- Renewable Energy Development Officer
- Technical Analyst

Employers include:
- Greenspan
- Mott Macdonald
- Natural Power
- SSE
- Scottish Power Energy Networks
- The Campbell Palmer Partnership
- RSP Consulting Engineers

*Based on the results of the national Destinations of Leavers from Higher Education Survey (2010/11 and 2011/12).

Find information on Scholarships here http://www.strath.ac.uk/search/scholarships/index.jsp

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The programme prepares you for a career in advanced information system design, technology management and commercial and academic research. Read more
The programme prepares you for a career in advanced information system design, technology management and commercial and academic research. you develop in-depth skills such as user modelling, information filtering, personalisation, adaptive hypermedia, data mining and visualisation, and natural language processing and develop a product innovation.

COURSES
Semester 1
Semantic Web Engineering
Data Mining and Visualisation
Natural Langauge Generation
Information Extraction and Text Analysis

Semester 2
Innovation Strategies
Advanced Computer Science Workshop
Technological, Scientific and Market Research

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The Master of Computer Science is a two-year (120 ECTS) advanced study in computer science organized by the Vrije Universiteit Brussel, a Flemish university located in Brussels, Belgium. This English-speaking programme is designed for students with a solid, basic academic background in computer science (Bachelor in Computer Science). The objectives of the programme are to provide a deeper understanding and knowledge of various specializations of computer science and to prepare the student for an active role in computer science research and development. The following specializations are offered: Artificial Intelligence, Multimedia, Software Engineering and Web & Information Systems.

Course outline

All students study a core programme of 30 credits; do a research training of 6 credits and a master thesis of 24 credits. Students should choose one out of four specializations: Artificial Intelligence, Multimedia, Software Engineering, or Web & Information Systems. 30 credits should be spent to mandatory and optional courses within the chosen specialization. The 24 remaining optional courses can be taken within the specialization or from another specialization. Finally, 6 credits can be chosen completely freely form any of the VUB courses. This brings the total to 120 ECTS credits. The master thesis as well as the research training needs to be related to the chosen specialization.

Specializations offered

 Artificial Intelligence
The focus in this specialization is on building intelligent software artifacts. The theories of complex dynamic systems and self-organization are emphasized starting from the theory of complex dynamic systems as developed in related fields such as mathematics, physics, and biology. Students will be exposed to current research in the areas of adaptive systems, multi-agent systems, and the origins of language.

 Multimedia
Students in this specialization will conduct in-depth exploration of techniques for signal processing and communication of multimedia content. The program is designed to build thorough technological and scientific knowledge of various multimedia domains such as digital television, telephony and video phony, computer animation, computer games, and the Internet. Students will gain experience with complex ICT architectures for the processing, distribution, and consumption of multimedia content.

 Software Engineering
In this specialization, students gain the skills needed to build complex software applications and software intensive systems. Students are also taught scientifically sound methods, as well as the newest techniques and tools for the developing of software. The curriculum also includes research topics in programming languages and integrated development environments.

 Web & Information Systems
This specialization is geared towards information system development and application development in the context of the Web. Students will learn about data and semantic representation techniques and acquire thorough technological and scientific knowledge related to the newest technological developments for the Web. Students can participate is research in the area of ontologies, new media systems (multimedia, Virtual Reality, games, social systems), and the "Internet of Things".

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This Systems and Control MSc degree aims to develop a sound understanding and knowledge of systems and control, and offers a wide choice of modules to suit your individual needs. You will learn the combined skills in your chosen area including artificial intelligence for control, image and signal processing, data acquisition and embedded control.

The European Systems and Control course option, requires students to study for modules in a partner EU institution.

WHY CHOOSE THIS COURSE?

Job satisfaction and remuneration prospects are excellent, with employer demand for those with a supply chain background outstripping the supply of suitably qualified applicants.

Enhance your qualifications and release your potential to improve yourself and move your organisation forward.

Classes are taught by academics with a long track record of working with industry and who bring in leading industry experts wherever that is possible.

This Course has been awarded accreditations from the IET and InstMC.

WHAT WILL I LEARN?

Topics: The course has the following six core taught modules:
-Maths and Computing for Control
-Linear Control Engineering
-Digital Computer Control Systems
-Artificial Intelligence for Control
-Control Systems Engineering Project

Option Topics: To complete the programme students should add a further 60 credits from below:
-Non-Linear Control engineering
-System Identification, Parameter Estimation and Filtering
-Self-Tuning and Adaptive Control
-Simulation of Systems
-Data Acquisition and Embedded Control
-Signal and Image Processing
-Single Independent Study

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

Graduates may apply for membership of the Institution of Electrical Engineers and the Institute of Measurement and Control. Career opportunities range from project engineers, systems and control engineers, and computer systems integrators across a wide range of industrial sectors.

GLOBAL LEADERS PROGRAMME

To prepare students for the challenges of the global employment market and to strengthen and develop their broader personal and professional skills Coventry University has developed a unique Global Leaders Programme.

The objectives of the programme, in which postgraduate and eligible undergraduate students can participate, is to provide practical career workshops and enable participants to experience different business cultures.

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This course combines the managerial and computing aspects of Service-Oriented Computing Systems for medium and large scale corporations. Read more
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The course provides a broad education in the area of Internet and Cloud-based systems engineering and emphasizes the importance of team building and problem solving skills.

You will learn how to optimize the information flow between business processes and how to critically analyse the impact of deploying information systems within the Enterprise and in public Computing Clouds to support organisational and business processes.

On the computing front, you will learn the principles and techniques necessary for designing, developing, and evaluating Enterprise Information System (EIS) that are distributed, interoperable, intelligent, and adaptive to change. In addition, the major project element of the course will allow you an opportunity to develop greater subject specialism in one specific Cloud or Enterprise computing topic of your choice.

Overall the programme will equip you to be an independent learner who can critically analyse the business requirements to engineer a comprehensive IT solution that strikes a balance between the financial constraints and the demand for a scalable yet integrative IT infrastructure.

Why study this course?

-You are taught by highly experienced staff members, many of whom are actively involved in cutting-edge research and publish regularly in this discipline
-There's the opportunity for a year-long work placement where you can expect a salary of between £10,000 and £35,000
-The School has strong links with local industry representatives such as Siemens, Experian and Excel. Such links benefit our graduates by ensuring the up-to-date relevance of our courses and opening up possibilities for work placements
-You will have access to the state-of-the-art facilities. These include exceptional computing resources, multimedia editing suites and specialist labs for imaging, networks and communications.

COME VISIT US ON OUR NEXT OPEN DAY!

Register here: https://www.ntu.ac.uk/university-life-and-nottingham/open-days/find-your-open-day/science-and-technology-postgraduate-and-professional-open-event2

The course is a part of the School of Science and Technology (http://www.ntu.ac.uk/sat) which has first-class facilities (http://www.ntu.ac.uk/sat/facilities).

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You’ll learn about the latest molecular, genetic and cellular approaches being used to understand, diagnose and treat human disease, including traditional methods such as polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA), and novel methods involving genome and proteome analysis. You’ll have the opportunity to investigate the role of the immune system in the response to infection and disease, covering topics such as innate and adaptive immunity, allergy and immune evasion.

You’ll study in a faculty ranked 6th in the UK for its research impact in the recent Research Excellence Framework (REF 2014), and you’ll graduate with the solid base of scientific knowledge and specialist skills valued by employers.

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This postgraduate research degree provides the opportunity for students who wish to undertake an Ambient Assisted Living (AAL) research project on any one of a wide range of interdisciplinary disciplines, under the supervision of our team of experts. Read more
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AAL is one of the major emerging technology markets of the moment, offering the potential to enable and empower citizens in their daily lives using state-of-the-art technologies. Known as 'assistive technologies' in some areas, AAL facilitates everyday activities for people who require care and support, augmenting their quality of life and assisting their independence.

Thanks to advances in medicine and improved knowledge of the links between lifestyle and health, a large proportion of the world is living longer. Diseases like Alzheimer's naturally increase proportionally with life expectancy and this has huge implications for those affected, their family, the healthcare sector and society in general. Those using wheelchairs or with conditions such as autism and Down's syndrome can also benefit from AAL, as these novel technologies can be used to support independence inside and outside the home, when travelling or at work – stimulating socialisation and promoting more positive lifestyles.

Perhaps the most compelling case for AAL is the use of smart homes to support independent living for people of older age, but many other applications exist or are in development. Billions of euros have been invested in the technologies through the European Union's Framework Programmes since 2007, such as the three-year Poseidon project currently supported by Middlesex University. These projects are bringing a proliferation of new systems, requiring a combination of new equipment, software, interfaces, and services.

Possible Projects:
The architecture of a space as an enabler for AAL
Inclusive design
Context-aware reasoning for intelligent environments
Software engineering of AAL systems
Adaptive AAL systems
System personalisation
Measuring effectiveness of AAL systems
Companion robots
Reliable AAL services
Security issues
Ethics in AAL systems,
New areas of application for AAL systems (offices, shopping, leisure, education, etc.)

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