Course Number: 245
Course Title: Electromagnetic Neuroimaging
School: Graduate Division
Department: Bioengineering Program
Course Description: This course provides a mathematically rigorous introduction to human electromagnetic neuroimaging using electroencephalography (EEG) and magnetoencephalography (MEG). Topics include neuronal sources of EEG/MEG signals, electric head modeling, data acquisition, dynamical analysis and technioues for solving the ill-posed inverse problem.
Prerequisites: Calculus, linear algebra, undergraduate physics (electromagnetism), or consent of instructor.
Instructor of Record: S. Nagarajan
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No
Quarter(s) Offered: Fall, Winter, Spring
Course Grading Convention: Letter Grade
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No