Annual Nonlinear Analysis Workshop
2022 ANNUAL WORKSHOP: JULY 25-29
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.
The 2022 workshop will be held virtually. More information for registration and details coming soon!
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. Participants will need access to MATLAB.
Materials will be distributed to the participants online. In general, topics will take two sessions to cover. The first session, participants may be provided with slides, videos, readings, and/or assignments to complete. In the second session, participants will participate in a hands-on training using nonlinear methods. Participants are encouraged to prepare data 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.
Professionals, course fee* is $750.
Graduate students outside UNO, the course fee* is $250. 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.
*The course fee is non-refundable.
For more information regarding the course, contact:
- Dr. Aaron Likens
- Phone: 402.554.6359
- Email: firstname.lastname@example.org