KNES789R

Advanced Projects in Kinesiology; Brain Dynamics and EEG: Applications to Cognitive-motor Performance

Recommended: NACS641 (Introduction to Neuroscience) and any signal processing course (e.g., KNES689D Special Problems in Kinesiology: Physiological Signal Processing). This course covers the theory and practice of electroencephalography, which includes, but not limited to, the basic principles of EEG (synaptic sources, volume conduction, electrodes, recording techniques, etc.), various EEG rhythms that reflect cognitive processing, signal processing, conventional analytic methods such as event-related potentials and spectral analysis as well as computational approaches like source localization and functional connectivity. This course may provide coverage of other electrography such as electrooculography (EOG) electromyography (EMG), and electrocardiography (ECG or EKG).

Sister Courses: KNES789A, KNES789B, KNES789J, KNES789L, KNES789M, KNES789N, KNES789P, KNES789T, KNES789W

Spring 2026

1 review
Average rating: 5.00

Spring 2025

1 review
Average rating: 5.00

Past Semesters

1 review
Average rating: 5.00

1 review
Average rating: 5.00

1 review
Average rating: 5.00

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.74 between 5 students*

KNES789R Grade Distribution+-05101520253035404550556065707580% of studentsABCDFWother
A-: 20%
A: 20%
A+: 40%
B: 20%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.