Overview
The artificial intelligence industry is fast-growing and touches so many aspects of society, from business operations to our everyday lives. On this course you will gain a detailed understanding of artificial intelligence concepts and techniques, and learn to use this knowledge to address contemporary problems and challenges such as the use of microprocessor-based systems to control home appliances and the detection and resolution of collisions in applied mechanics.
With us, you will develop fundamental skills, such as learning the powerful general-purpose programming language C++, and experience in-depth study of computer networks and systems. Using artificial intelligence code, you will learn how to control advanced mobile robots in our purpose-built laboratory.
Our modules are designed to focus on real-life industry scenarios to enhance your employability. During our Agile Methods and Development module, you will gain experience in producing apps to specifications and learn how to negotiate between business clients and the development team.
You will also be able to enjoy projects and extracurriculars related to your course. Get involved with our dedicated Robot Club, where you will solidify your skills by instructing secondary school children on robotic construction, or take the opportunity to develop your own robot project, with the potential to compete in the annual international Robot Challenge in Vienna.
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 to raise your professional profile.
- Benefit from teaching by experienced staff from our internationally recognised Institute of Artificial Intelligence that conducts world-leading research into artificial intelligence, computational intelligence and intelligent systems.
- Enhance your practical and professional skills with work placement opportunities. Students have undertaken placements at major companies such as IBM, PayPoint, Netready and Exel Computer Systems.
- Get access to specialist facilities, including our Advanced Mobile Robotics and Intelligent Agents Laboratory, which contain a variety of mobile robots.
- Put your skills into practice by taking part in the DMU Robot Club, with a chance to compete in an international robotics competition. Our students and staff have previously won prizes at the Robot Challenge in Vienna.
- Expand your horizons and enrich your studies with a DMU Global experience. Students on related courses have tested their hacking skills at New York’s Spyscape Museum and networked with tech entrepreneurs in Silicon Valley.
Entry criteria
- Five GCSEs at grade C or above, including English and Mathematicsor equivalent, plus one of the following:
- Normally 104 UCAS points from at least two A-levels or equivalent or
- BTEC National Diploma/ Extended Diploma at DMM or
- Pass in the QAA accredited Access to HE. English and Mathematics GCSE required as a separate qualification as equivalency is not accepted within the Access qualification. We will normally require students to have had a break from full-time education before undertaking the Access course or
- International Baccalaureate: 24+ points
- Foundation Year in Computing: Pass Foundation, and progression is at the discretion of the programme leader. Refer to the Foundation team for further guidance.
Structure and assessment
Course modules
First year
- Introduction to C++ Programming
- Introduction to Object Oriented Programming in C++
- Computer Ethics
- Computer Law & Cyber Security
- Computer Systems
- Computer Networks
- Mathematics for Computing
- Database Design & Implementation
Second year
Core modules
- Applied Mechanics
- Artificial Intelligence for Simulation
- Object-Oriented Programming in C++
- Advanced Object-Oriented Programming in C++
- 3D Modelling
- Introduction to Computational Intelligence and Control Systems
Optional Modules
- Embedded Systems
- Agile Methods
Third year
Core modules
- Fuzzy logic and Knowledge Based Systems
- Mobile Robotics
- Computing Project*
Optional Modules
- Secure Web Application Development
- Multi-service Networks 1
- Multi-service Networks 2
- Front-end Web Development
- Rigorous Systems
- IT Services Foundations
- IT Services Practice
- Data Mining
- Popular Technology Ethics
- Big Data
- Systems Integration
- Systems Building: Methods and Management
Facilities and features
Advanced mobile robotics and intelligent agents laboratory
Our advanced mobile robotics and intelligent agents laboratory contains a variety of mobile robots for teaching and research. Experience working with these will enhance your professional and practical skills for the workplace.
For human-machine interaction, facilities include HTC Vive and IoT development kits, Amazon Alexa and Google Home devices, wearable sensors, and a 3D scanner. Robotics equipment includes Lynxmotion robotic arms and a Hexapod robot, Waffle and Burger model Turtlebots, and a swarm of 20 kilobots. For general prototyping, Artificial Intelligence students can access a 3D printer, Raspberry Pi boards and various sensors, Arduino boards and sensors, and Lego EV3 kits.
The Centre for Computational Intelligence (CCI) conducts research into the use of computational intelligence techniques on mobile robots and has a collection of several types of robots for use in research and teaching.
Library and learning zones
On campus, the main Kimberlin Library offers a space where you can work, study and access a vast range of print materials, with computer stations, laptops, plasma screens and assistive technology also available.
As well as providing a physical space in which to work, we offer online tools to support your studies, and our extensive online collection of resources accessible from our Library website, e-books, specialised databases and electronic journals and films which can be remotely accessed from anywhere you choose.
We will support you to confidently use a huge range of learning technologies, including Blackboard, Collaborate Ultra, DMU Replay, MS Teams, Turnitin and more. Alongside this, you can access LinkedIn Learning and learn how to use Microsoft 365, and study support software such as mind mapping and note-taking through our new Digital Student Skills Hub.
The library staff offer additional support to students, including help with academic writing, research strategies, literature searching, reference management and assistive technology. There is also a ‘Just Ask’ service for help and advice, live LibChat, online workshops, tutorials and drop-ins available from our Learning Services, and weekly library live chat sessions that give you the chance to ask the library teams for help.
More flexible ways to learn
We offer an equitable and inclusive approach to learning and teaching for all our students. Known as the Universal Design for Learning (UDL), our teaching approach has been recognised as sector leading. UDL means we offer a wide variety of support, facilities and technology to all students, including those with disabilities and specific learning differences.
Just one of the ways we do this is by using ‘DMU Replay’ – a technology providing all students with anytime access to audio and/or visual material of lectures. This means students can revise taught material in a way that suits them best, whether it’s replaying a recording of a class or adapting written material shared in class using specialist software.
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