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The Master in City & Technology’s academic structure is based on IAAC’s innovative, learn-by-doing and design-through-research methodology which focuses on the development of interdisciplinary skills. During the Master in City & Technology students will have the opportunity to be part of a highly international group, including faculty members, researchers, and lecturers, in which they are encouraged to develop collective decision-making processes and materialize their project ideas.
Course: MaCT02 22/23 AI in Urbanism I
AI in Urbanism focuses on practical applications of AI within urban planning and design. Through method-driven pedagogies, this 7-week module is aimed at taking students with a basic understanding of machine learning, to applying deep learning algorithms to urban-scale issues.
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