Annual Nonlinear Analysis Workshop
The Nonlinear Analysis Workshop is an introduction to nonlinear analysis methods. The purpose of this workshop is to introduce research scientists, clinicians, educators, and students to a variety of nonlinear methods for the analysis of biological time series data.
About the Workshop
Participants will learn how to use nonlinear methods to analyze real biological data by first learning about the underlying mathematics of each nonlinear method in a simple and friendly fashion. Instructors will use class discussions and hands-on practice to facilitate understanding of the material covered in the lectures.
This course is designed to be a comprehensive introduction to nonlinear analysis tools. Participants with varied backgrounds are welcome. Researchers, clinicians, and graduate students of all levels are encouraged to attend. Knowledge of basic college algebra, trigonometry, and statistics are needed to be successful in this workshop. Basic computer skills are also needed.
- Time series preparation
- Fractal analysis including detrended analysis
- State space reconstruction
- Lyapunov exponent
Participants are encouraged to have data available from their own laboratory to use during the hands-on sessions. Sample data from the Center for Research in Human Movement Variability will be provided as well.
Workshop participants may be sent research articles of interest which may help facilitate discussion of course topics.
Professionals, course fee* is $950. Professionals register here.
Graduate students outside UNO, the course fee* is $450. A letter from your advisor/mentor verifying that you are a student in an academic program must be submitted to email@example.com at least one week prior to the start of the course. Students register here.
The course fee includes all PowerPoint slides and a copy of codes used during the hands-on sessions.
*The course fee is non-refundable.
The course is open to all UNO/UNMC/UNL/UNK graduate students. Please use MavLINK and register for BMCH 8100/9101 Nonlinear Analysis for Movement Sciences.