This course contains two parts. The first part covers basic sensing technologies in structural engineering aiming to provide students the knowledge on traditional (e.g., accelerometers) as well as state-of-art sensing technologies (e.g., fiber optic sensing) and their practical applications in civil engineering. It also covers vibration-based structural health monitoring which introduces the fundamentals of structural behavior, and analysis in the time and frequency domain. The second part introduces fundamental knowledge and practical applications of data science and machine learning in the structural engineering context, primarily from understanding and extracting informative patterns from structural sensing data. It aims to provide students the ability to use relevant software & toolboxes (MATLAB, Python) to apply the discussed data science concepts on structural sensing datasets.