Module 1 : Introduction to Functional Data [Lecture 1]

  Module 1-1 : R & RStudio

  Module 1-2 : Introduction to datasets

  Module 1-3 : Introduction to datasets (continued)

  Module 1-4 : Summary & Discussion

Module 2 : Modeling functional data with preset basis expansions [Lecture 2]

  Module 2-1 : Basis functions

  Module 2-2 : Linear regression on basis functions

  Module 2-3 : Selecting number of basis functions (cross-validation)

  Module 2-4 : Smoothing with roughness penalty

  Module 2-5 : Summary & Discussion

Module 3 : Modeling functional data using functional principal component [Lecture 3]

  Module 3-1 : fPCA for highly frequent data

  Module 3-2 : fPCA for sparse functional data

  Module 3-3 : Interactive plots for fPCA

  Module 3-4 : Summary & Discussion

Module 4 : Functional linear models [Lecture 4]

  Module 4-1 : Scalar-on-function regression

  Module 4-2 : Function-on-scalar regression (visualization)

  Module 4-3 : Function-on-function regression

  Module 4-4 : Summary & Discussion & Group activities

Module 5 : Correlated functional data [Lecture 5]

  Module 5-1 : Longitudinal functional data analysis & Interactive plots

  Module 5-2 : Discussion