Sensors not only enable interactivity of products but also generate data. Machine learning algorithms leverage computational power and data to empower further the product to deal with design problems involved in prediction, decision, and adaptation. Tangible products support rich embodied interactions. This course aims to help the students understand the main paradigms in sensing, data collection, signal processing, and machine learning to apply them in meaningful design solutions of intelligent and interactive tangible products. This course belongs to both Industrial Design competency areas “Math, Data, and Computing” and “Technology and Realization”.