AI implementation in the UX/UI design process.

After completing the programme with a pass grade, the student should be able to: - describe how AI can be integrated into UX and UI processes and the impact this has on quality, efficiency and business value. - explain the basic principles of generative AI in design, including the possibilities and limitations of the models. - describe data requirements, ethical considerations and security aspects when using AI in design work. - describe how AI can support scalable, consistent and sustainable design solutions in UX and UI. - describe the role of AI in the interplay between design, development and business. After completing the programme with a pass grade, the student should be able to: - analyse UX and UI processes to identify where AI creates the most value and efficiency. - carry out AI-supported research, synthesis and problem definition in early design phases. - produce prototypes, UX test plans and UI solutions with the support of relevant AI tools. - create and iterate UI components and design systems with the help of AI in a structured and quality-conscious way. - apply AI-supported workflows for documentation, handover and collaboration between design and development. After completing the programme with a pass grade, the student should be able to: - independently and responsibly assess when AI is a suitable support in design work and when human expertise, creativity and professional judgement should lead in different design contexts. - ensure that AI-generated design solutions are user-centred, ethically defensible and commercially relevant. - use AI responsibly as support in decision-making without compromising on quality or design principles. - contribute to professional collaboration between design, development and other roles in AI-supported work processes. - contribute to the development of a data-driven and AI-supported design culture in UX and UI work.