ISSUED: (Thursday, January 14, 2021 21:55 PM)
SEVERE WEATHER ALERT
All classes, campus operations, and campus events will be suspended for Friday, Jan. 15, unless otherwise noted. Normal operations will resume on Saturday, Jan. 16.
More Information CLOSEXAnnual 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.
We are happy to announce a fully online hybrid model for the 2021 workshop! This year, the workshop will comprise two weeks of asynchronous and synchronous instruction. This will provide for a mix of lectures, assignments, question and answer sessions, and hands-on technical training.
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.
To accommodate the hybrid model, all materials will be sent to the participants the week prior to class. In general, topics will take two days to cover. The first day, participants will be provided with videos, readings, and assignments to complete. The second day, participants will attend a synchronous* online session for question and answer as well as hands-on training. During the hands-on sessions, participants will be provided with MATLAB code and sample data, if needed. Participants are encouraged to use 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.
*Multiple synchronous times will be made available to accommodate international time zones.
Fee/Registration
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 bmchnonan@unomaha.edu at least one week prior to the start of the course.
*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.
For more information regarding the course, contact:
Dr. Jenna YentesPhone: 402.554.3251
Email: jyentes@unomaha.edu