Overview
Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.
Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its 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. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.
Key features
- This course is accredited by BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
- Our internationally recognised Institute of Artificial Intelligence (IAI) helps to inform the content of our course, allowing you to understand the current research issues related to artificial intelligence and potential areas that need more research focus.
- The modules you’ll study feature work based on research by our IAI and focus 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.
- Your studies can work around your work and other commitments with full-time, part-time or distance learning study options available. This makes the course ideal for both recent graduates and professionals already in employment.
- Take advantage of our AI laboratory featuring cutting-edge workstations and technologies such as the Emotiv Flex Gel Sensor Kit and Emotiv PRO, Lynxmotion Hexapod robot, Turtlebots, HTC Vive development kits, 3D Scanner, 3D Printer and Lego EV3 Kits.
- Artificial intelligence is a growing industry across the globe. Employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.
Structure and assessment
Course modules
- 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.
- Computational Intelligence Optimisation (CIO) is a subject that integrates artificial intelligence into algorithms for solving optimisation problems that could not be solved by exact methods. Thus, CIO is the subject that defines and designs metaheuristics, i.e general purpose algorithms. This makes CIO the subject that tackles optimisation problems in engineering, economics and applied science.
- 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.
- Intelligent Mobile Robots 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
Facilities and features
Facilities
We have our own Advanced Mobile Robotics & Intelligent Agents Laboratory situated in Gateway House.
The Advanced Mobile Robotics & Intelligent Agents Laboratory contains a variety of mobile robots ranging from the Lego Mindstorm to the Wheelbarrow robot for bomb disposal.
This facility provides excellent resources for teaching and research.
Mobile Robotics is taught as an option at undergraduate level as well as on the Artificial Intelligence with Robotics BSc programme. On the Intelligent Systems and Robotics MSc programme students will be exposed to the more advanced techniques.
The Centre for Computational Intelligence (CCI) conducts research into use of computational intelligence techniques on mobile robots and encourages PhD applications in this field.
Learning zones
Our Learning Zones and the The Greenhouse also provide space for group or individual work and study.
There are 1,600 study places across all library locations, more than 700 computer stations, laptops to borrow, free wi-fi and desktop power outlets.
You can also book rooms with plasma screens, laptops and DVD facilities for group work and presentations, secure an individual study room with adjustable lighting or make use of our assistive technology.
Library services
The main Kimberlin Library is open 24 hours a day, 365 days a year (other than in exceptional circumstances) and offers a huge range of online resources, all of which can be remotely accessed from anywhere you choose.
The library is run by dedicated staff who offer additional support to students, including help with academic writing, research strategies, literature searching and reference management and assistive technology, and mathematical skills for non-maths students. There is also a Just Ask service for help and advice, available via email or telephone.
Opportunities and careers
#DMUglobal
This is our innovative international experience programme which aims to enrich your studies and expand your cultural horizons – helping you to become a global graduate, equipped to meet the needs of employers across the world.
Through #DMUglobal, we offer a wide range of opportunities including on-campus and UK activities, overseas study, internships, faculty-led field trips and volunteering, as well as Erasmus+ and international exchanges.
Graduate Careers
Graduates typically follow careers within robotics programming and research, games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, software engineering and many more. Opportunities also exist for further academic study toward a PhD and a career in research.
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