Nonlinear Data Analysis Concepts

Norbert Marwan

This course delves into the foundational concepts of nonlinear dynamics and chaos theory, focusing on their application in studying complex systems and spatiotemporal data. It emphasizes methods like information theory, recurrence analysis, and complex networks, which are powerful tools for uncovering hidden patterns and nonlinear relationships in Earth sciences.

You will learn how to apply these approaches to real-world problems, exploring their use in analyzing dynamic systems and identifying connections within complex datasets. The course also introduces essential statistical concepts and guides you in designing effective tests tailored to specific research challenges.

By combining theoretical foundations with practical methods, this course equips you to analyze and interpret nonlinear systems in a broad range of scientific contexts. It offers a comprehensive understanding of how chaos theory and advanced data analysis can enhance our knowledge of natural processes and systems.