Course ID
028796
Course Description
Students will learn to analyze neural time series data in this hands-on, workshop-style course focused primarily on EEG data. You'll gain practical experience using MATLAB to implement both standard (e.g., ERP, topography) and advanced (e.g., time-frequency analysis, synchronization) methods. Designed as a flipped classroom, in-class time is dedicated to collaborative programming exercises and discussions. By the end of the course, you'll be equipped to independently process, visualize, and statistically analyze EEG datasets skills that are transferable to MEG and LFP data as well.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Requisites
May be convened with
Component
Seminar
Optional Component
No