This module is designed to provide students with a comprehensive understanding of the fundamentals of AI and its real-world applications. Students will learn about common GAI applications, prompt engineering, Retrieval-Augmented Generation (RAG), and user-centered design principles. The module also emphasizes the development of English communication skills through written and oral presentations, enabling students to effectively convey their ideas and designs. By the end of the module, students will be equipped with the knowledge and skills to create and present comprehensive conceptual plans for GAI-powered applications such as personalized recommendation systems, AI assistants, chatbots, content generators, and creative arts tools.
A Explain the fundamental concepts of Generative AI (GAI) and describe its common applications. B Evaluate GAI outputs for quality and relevance, and apply prompt engineering and Retrieval-Augmented Generation (RAG) to refine and improve them. C Create user-centered design concepts for AI applications, such as AI assistants, chatbots, content generators, and creative arts tools, while adhering to ethical practices in alignment with professional codes of conduct. D Develop comprehensive conceptual plans for AI-powered applications, detailing data collection strategies, AI model selection, scalability, deployment considerations, model usage, user interface design, and mitigation for potential risks such as bias, misinformation, or privacy issues. E Effectively communicate design concepts and project plans through written and oral presentations, demonstrating proficiency in academic and professional English communication skills. F Collaborate effectively within a group to conceptualize, design, and present an innovative application, fostering an inclusive environment that values diverse perspectives and leverages collective skills to deliver a comprehensive and cohesive project aligned with Equality, Diversity and Inclusion (EDI) principles.
This module will be delivered through a combination of lectures and lab sessions. Students will attend two hours of formal lectures each week, covering theoretical aspects of AI-enhanced application design, including foundational concepts of AI and Generative AI (GAI), common GAI applications, ethical considerations, and user-centered design principles. Additionally, guest lectures will be integrated into the curriculum, featuring experts from the industry who will share their insights and experiences on cutting-edge topics in AI and GAI. Complementing the lectures, lab sessions will provide opportunities for students to apply theoretical knowledge to practical problems in AI application design. Additionally, students are expected to dedicate approximately eight hours per week to independent study, allowing them to consolidate lecture content, engage in further reading, and work on their projects.