Data Driven Methods for Dynamical Systems

1 Unit · Graduate

The course will survey methods for characterizing time-series data by reading and discussing primary literature and implementing and testing methods. Students will simulate time-series from deterministic, chaotic, and stochastic systems and apply a range of data-driven methods. The goal is to understand the suitability of different methods for characterizing dynamical systems with noise, nonlinearities, and other characteristics.