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Intelligent Systems and Robotics (ISR) / Intelligent Systems (IS) DL MSc/PG Dip/PG Cert – (M.Sc.)
De Montfort University
Faculty of Technology| Annual Tuition Fee: | ≈ € 4,260 - ≈ € 10,660 (non-EEA) | ||
| Location: | Leicester / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | September |
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| Languages: | English | ||
Location of De Montfort University
Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you will gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.
Computational intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.
Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.
Career opportunities
Graduates typically follow careers in robotics programming and research, games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, software engineering and many more. A number of past graduates are now studying for PhDs.
Contents
Programme
* Computational Intelligence Research Methods details quantitative and qualitative approaches including laboratory evaluation, surveys, case studies and action research
* Artificial Intelligence (AI) Programming presents a logical programming approach. AI programming is a key skill and a necessary tool for problem solving in industry
* Mobile Robots discusses the hardware and software architectures used to build mobile robot systems
* Fuzzy Logic considers the various fuzzy paradigms that have become established as computational tools
* Artificial Neural Networks appraises neural network computing from an engineering approach and the use of networks for cognitive modelling
* Evolutionary Computing details the theoretical issues of evolutionary computing, including genetic algorithms, evolutionary systems, data representation and genetic operators
* Applied Computational Intelligence considers knowledge-based systems; the historical, philosophical and future implications of AI; then focuses on current research and applications in the area
* Data Mining (IS only) examines the tools and techniques needed to mine the large quantities of data generated in today's information age. It provides practical experience as well as consideration of research and application areas
* Intelligent Mobile Robots (ISR only) covers sensing, representing, modelling of the environment, adaptive behaviour and social behaviour of robots
* Individual Project provides the opportunity to demonstrate skills acquired from the course in a problem solving capacity. This typically involves the analysis, design and implementation of a computer system.
Teaching/assessment
The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.
Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.
Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.
IELTS
You are normally required to take an English Proficiency Test.
Most European Universities recognise the IELTS test.
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Requirements
You should have the equivalent of a British Honours degree (normally 2:2 minimum) in a relevant subject. Most science and engineering-based subjects are acceptable, as long as you have some experience of computer programming (the language does not matter, it is an understanding of programming principles that we are looking for).
If you don't have formal academic qualifications but have extensive industry experience you will be considered individually.
Students whose first language is not English and/or have not been taught and examined solely in an English medium will generally need to provide evidence of their English language in the form of an IELTS or recognised equivalent examination The score required is typically IELTS 6.0 for Undergraduate and Postgraduate Taught courses within the Faculty of Technology.
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.0 |
Ask a Question
You can contact Technology Admissions Office to ask a question about Intelligent Systems and Robotics (ISR) / Intelligent Systems (IS) DL MSc/PG Dip/PG Cert at De Montfort University.
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