BEng Hons Robotics and Artificial Intelligence Courses

The Department of Computer Science and Creative Technologies at UWE Bristol is well renowned for its strong background in AI research and counts a number of internationally-recognised academics amongst its teaching team. The team has a wealth of experience dealing with real-world issues and already has over 25 years’ experience working on internationally-applied AI projects. If you require a Student visa and wish to study a postgraduate course on a part-time basis, please read our how to apply information for international students to ensure you have all the details you need about the application process. Our Artificial Intelligence MSc provides a solid foundation for further qualifications in professional areas that require knowledge of applied mathematics, as well as further study at PhD level. Learning about the process of extracting, acquiring and growing our knowledge has a great impact on our understanding of how human intelligence works.

Now well established and accepted in industry, deep learning provides both predictive and descriptive analytics solutions that can be applied to a wide range of applications from business to scientific and governmental applications. You will also acquire new programming skills (e.g., writing server-side scripts in PHP) in order to produce applications that provide useful functionality. You will also gain practical experience https://www.metadialog.com/ in the use of web frameworks to develop web applications to enhance your employability skills. This module provides the skills necessary to design a web based application around a clear understanding of the business information requirements, a structured design of an interface and the development skills necessary to implement a solution. I’m a second year computer science student studying at Birmingham City University.

Advancing knowledge to transform lives

You will be taught by a range of experts including professors, lecturers, teaching fellows and postgraduate tutors. Staff changes will occur from time to time; please see our InfoHub pages for further information. Topics include orientation overview, equality and diversity, health, safety and cyber security and how to make the most of your time at university in relation to careers and employability. Over my four years, the staff taught me many skills, both technical and professional. Many of those skills I use today in industry and will continue to use throughout my entire career.

This module covers the development of modern computer architectures for servers, workstations, hand-held devices, signal processing and embedded systems from the introduction of the four-stage RISC pipeline to the present day. The year 1 and 2 modules are similar across all our Electronic Engineering courses and provide a grounding in essential engineering topics. ai engineer degree Careful consideration will be given to an individual’s academic achievement, taking in to account the context and circumstances of their pre-university education. AI is revolutionising the world – and that could have a big impact on your career. From self-driving cars to ChatGPT, it is rapidly bringing futuristic ideas into our everyday lives, including our work.

Study abroad option

In particular, the module places emphasis on data manipulation and presentation for data analysis. A substantial practical element is integrated into the module to enable students to use a programming language (e.g. Python) to prepare data for analysis and develop data analytical applications. The module is designed to impart essential mathematical principles and concepts of computer vision alongside its practical applications. The module encompasses core topics in image formation and low-level image processing; mid-level scene representation; model-based description and tracking. Appropriate hardware/software tools will be integrated into the module to enable students to apply and test computer vision algorithms on real world data sets. This module provides students with an in-depth appreciation of the Internet of Things (IoT) and Cloud Computing concepts, models, infrastructures and capabilities.

This module provides an introduction into computer security and forensics focussing on approaches and techniques for building secure systems and for the secure operation of systems. It aims to develop knowledge and understanding of fundamental principles of information security, develop familiarity with compromise of computer systems and what countermeasures can be adopted and provide practical experience of implementing secure systems. Students should be aware that there are limited places available on this course. The module is designed to introduce engineering students to key areas of financial and legal risk that engineers should be aware of in their working environment.