Course delivery
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 practicals. 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 recognised by professional, statutory, or regulatory bodies. We offer a range of modules that focus on common AI areas, such as machine learning, deep learning, anomaly detection, computer vision, natural language processing, and conversational AI. The course provides you a robust conceptual foundation in AI and opportunities to apply theoretical knowledge in practical settings. Our lab is well-equipped with robotic kits, robotic arms, and software platforms, giving you access to all the necessary tools for programming Machine Learning algorithms and embedded micro-controllers.
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 developmental, and do not count towards your module mark. For each module, there is a formal or 'summative' assessment, which includes various coursework assessments such as essays, reports, portfolios, performances, presentations, independent projects, and written examinations. Your module mark is determined by the grades obtained from formal assessments.