This course will be a broad overview of the analysis of data of multiple curves that may be considered to arise from smooth functions. The course is intended to prepare the students for methodological research in this area and to train them on cutting-edge methods for analyzing functional data. The primary topics covered include visualization of curves and data exploration, nonparametric smoothing (including splines and wavelets), functional principal components analysis, mixed effects models and functional mixed effects models.