Welcome to your AI and Robotics course

Throughout your academic journey, you will have ample opportunities to enhance your knowledge and skills. You can learn through various methods, such as lectures, seminars, workshops, and laboratory practical. Seminars are ideal for discussing and gaining a deeper understanding of topics covered in lectures with smaller groups of peers. Additionally, you can meet with your personal tutor twice a year to receive guidance and support.

Our learning spaces offer top-notch education, often accredited, or recognized by professional, statutory, or regulatory bodies. We offer a range of modules that concentrate on common AI workloads/areas, such as machine learning, deep learning, anomaly detection, computer vision, natural language processing, and/or conversational AI. The course provides you with a robust conceptual foundation in AI and an opportunity to apply theoretical knowledge in a practical setting. Our lab is well-equipped with robotic kits, robotic arms, and software platforms that provide you with access to all the necessary tools for programming Machine Learning algorithms, embedded micro-controllers and robotic modelling.

You can informally test your comprehension of the subject before completing formal assessments that contribute to your final grade. Each module has practice or 'formative' assessments that provide feedback from your tutor. These assessments are meant to be developmental, and any grades received do not count towards your module mark. For each module that you study, there is a formal or 'summative' assessment that includes various coursework assessments, such as essays, reports, portfolios, performances, presentations, independent project, and written examinations.  Your module mark is determined by the grades obtained from formal assessments. 

Foundation year students will be initially registered on the BSc (Hons) Artificial Intelligence (with a Foundation Year). When you arrive, you will be starting 3 modules which will run through the semester 1. These modules are designed to begin your journey into both computing, and academia itself. All our courses in the Foundation Year start from scratch but move forward quickly.

Study Skills and Data Analytics I: This module is designed to introduce you to the world of academia and provide you with the skills that you will need to successfully read for your degree, and also complete assignments effectively first time! You’ll be working on building up your research and writing skills to help you through your university journey. In particular you will learn how to approach assignments and to undertake literature reviews and reflective reports at university level.

Computer Systems and Data: In this module, you'll start by learning the basics of communication principles and setting up a small network using industry-grade equipment. You'll then dive into cybersecurity, learning to identify attacks and threats, understand data privacy, and protect users and organizations. With both theory and hands-on practice, you'll gain a well-rounded knowledge that's crucial for the tech world. Get ready for an exciting and practical journey into networking and cybersecurity!

Programming and Artificial Intelligence: In the first few weeks, you'll learn how to solve problems by analysing them and creating simple applications. We'll introduce you to programming concepts and help you build solutions with different interfaces. You'll also get a glimpse into the fascinating field of artificial intelligence (AI), using voice assistants as a fun example.

Throughout your University journey you will be supported by a specifically assigned academic mentor, as well as a team of module tutors who will always be on hand to help you with whatever you need!

You also have a dedicated course leader, who you can always turn to if you have any concerns or need anything at all!

There may be an opportunity for us to run a number of visits, these will be optional and communicated out to you closer to the time.

Our goal is to offer you a diverse range of opportunities to engage in research and attend commercial guest talks. Although these talks are not mandatory components of your coursework, they provide valuable insights into the latest developments in computing. By participating in these events, you can stay up-to-date with the cutting-edge trends in the industry and expand your knowledge and expertise.