MATJ5129 IP1: Electrical Impedance Tomography: Computation and Applications (JSS35) (2 cr)

This course focuses on the applied and computational aspects of electrical impedance tomography (EIT), including modeling, EIT systems, reconstruction algorithms, and hands-on MATLAB implementation. We will examine how EIT is used in biomedical, industrial, and geophysical settings, how modeling choices influence image quality, and how to interpret reconstructed conductivity images. Modern reconstruction methods, including the use of Complex Geometrical Optics solutions in the direct D-bar method, will be explored both conceptually and through MATLAB demonstrations. It is recommended that participants bring a laptop with MATLAB installed, although a computer lab will be available. Recommended to take together with Mathematics of Electrical Impedance Tomography.

Insight into practical EIT modeling, applications, and reconstruction algorithms.

Basics of linear algebra and numerical methods, introductory exposure to PDEs, and basic programming skills (preferably in MATLAB)