This module bridges AI technologies and human-centered product design, equipping students to innovate with AI-driven tools (e.g., generative AI, predictive analytics) for research, prototyping, and testing. It aligns with the MSc programme’s focus on Intelligent Engineering by demonstrating how AI enhances industrial product development—from smart manufacturing to user-centric IoT systems—while addressing ethical challenges like bias and transparency. By integrating design thinking with AI-powered engineering, the module prepares students to lead cross-functional teams in Industry 4.0 environments, where rapid iteration, sustainability, and intelligent automation are critical. It complements core themes of the programme, including smart systems, industrial operations, and ethical engineering, ensuring graduates can design AI-augmented solutions that are both technically robust and socially responsible.
A Evaluate the transformative impact of AI on product design processes, supported by real-world case studies and ethical considerations. B Apply AI-powered tools to enhance research, ideation, and problem-solving in design projects. C Develop AI-augmented prototypes and conduct user testing using AI-driven analytics to refine design solutions. D Critically assess challenges in AI product design and implement human-centered strategies to mitigate risks. E Design an innovative AI-powered product concept, demonstrating mastery of AI design patterns, ethical guidelines, and iterative improvement methodologies.
The teaching philosophy of the module adopts the philosophy of Syntegrative Education. This has meant that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contribution from industry partners. This philosophy is carried through also in terms of assessment, with reduction on the use of exams and increase in coursework, especially the use of problem-based assessment which is project focused. The delivery pattern provides space in the semester for students to concentrate on completing the assessments. This module will be delivered through lectures, seminars and tutorials. Teaching will be conducted using problem-based learning, with problems embedded in the lectures. General transferable skills are developed through the presentation of written and oral reports.