ECE 69500 - Computational Bioelectromagnetics

Course Details

Lecture Hours: 3 Credits: 3

Areas of Specialization:

  • Fields and Optics

Counts as:

Normally Offered:

Fall - odd years

Campus/Online:

On-campus only

Requisites:

ECE 30411

Requisites by Topic:

Electromagnetics; familiarity with a computer programming or scripting language (Python, Matlab, Fortran, C++)

Catalog Description:

This course covers computational methodologies used for E-field modeling in non-invasive brain stimulation (NIBS), electroencephalogram (EEG) and magnetoencephalogram (MEG). An emphasis in understanding the strengths and weaknesses of each method will be given.

Required Text(s):

None.

Recommended Text(s):

  1. The Finite Element Method in Electromagnetics , 3rd Edition , Jin, Jian-Ming , John Wiley & Sons , 2015 , ISBN No. 1118842022

Learning Outcomes

A student who successfully fulfills the course requirements will have demonstrated an ability to:

  • Determine the limitations of simulation predictions of the electric field by various numerical methods
  • Determine the limitations of simulation predictions of the electric field by various numerical methods
  • Implement basic differential equation/integral equation numerical electromagnetic codes
  • Use existing fMRI software to segment head MRI images into tissue types and generate head models
  • Understand the various methods used by segmentation pipelines like fsl, SPM, and freeSurfer.
  • Determine the best tool for a given application and solver parameters.

Assessment Method:

Homework, projects, final exam, and class participation