Why study this course In the Foundation year you will study three days per week. The focus will be on academic writing skills and numeracy, plus subject-specific content to fully prepare you for entry to an Undergraduate degree. This course provides students with both academic and vocational skills to pursue academic and professional careers in industry and commerce. Completing graduates will develop their academic, creative and thinking abilities. Educational aims of the course are to widen students ability to: Be creative and judgmental. Acquire knowledge and understanding of Computer Science and Robotics. Apply such knowledge to analyse problems at hand and to evaluate possible solutions. Formulate correct procedures for problem solutions. Communicate findings to peers. ...
Facilities
Location
Start date
Luton
(Bedfordshire)
See map
University Of Bedfordshire Business School, Luton Campus (Vicarage Street), LU1 3JU
Start date
On request
Questions & Answers
Add your question
Our advisors and other users will be able to reply to you
We are verifying your question adjusts to our publishing rules. According to your answers, we noticed you might not be elegible to enroll into this course, possibly because of: qualification requirements, location or others. It is important you consult this with the Centre.
Thank you!
We are reviewing your question. We will publish it shortly.
Or do you prefer the center to contact you?
Reviews
Have you taken this course? Share your opinion
Subjects
Systems
Course programme
Who’s this course for? Computer science is at the core of modern technology, and at the heart of a number of specialist technology fields. This course shares a common first stage with our other BSc degrees in Computer Science to give you a foundation, as well as providing a platform for specialist study in the second and third stages. You'll cover essential areas such as systems architecture and security, as well as acquiring practical skills in a variety of modern programming languages. You'll also develop skills in systems modelling, software development and artificial intelligence, before focusing on your chosen specialist area during your final stage project. The robotics element of this course seeks to explain what intelligence is, and how different intelligent machines can be built. Our distinctive approach combines an investigation into computer studies and practical control processes, whilst providing a basis of theoretical knowledge. The course is designed to promote flexibility and allow for a change in your final award during stage one of the course. Featuring a significant element of practical work, the course will enable you to design and build intelligent systems, exploring path-planning and navigation of robots in different environments.
Additional information
Skills and experience gained Upon successful completion of this course, you should be able to: Design and implement control algorithms for robots and theorise on the nature of future developments in this field. Design and build robots to perform specific tasks and reflect upon the efficiency and functionality of their performance. Path-plan the navigation of robots in both familiar and non-familiar environments and apply advanced problem solving techniques to these scenarios. Design experiments to establish the full abilities of robots in a working environment L: Produce a report on successful design and implementation of robotic systems. Use object-oriented programming languages to produce robot instructions. After the course Graduates of this course tend to pursue careers within the areas of Software Engineering, Programming, Teaching. The transferrable skills such as problem identification, analysis, modelling, solution developing and evaluation gained in this course will prepare the students for a range of careers. The most common destination will be in industries developing robotic solutions for manufacturing, healthcare, transport, energy, defence, research, etc. including both and SMEs. The theoretical foundations taught in the course will enable the students to continue their studies and register on taught or research based Masters courses in AI, Robotics, Computer Science and engineering. They can also continue onto PhD research degrees which lead to a career in higher education or high-ranking RTD roles in industry.