Advanced and extended individual research on selected problem of current significance in biomedical engineering.

This introductory course in mathematical modeling will teach students how to construct simple and elegant models of biological and physiological processes -- for instance the absorption and elimination of drugs in the human body or the kinetics of tumour growth in tissue -- and to analyze or predict the dynamics of these events by solving the models.

A comprehensive introduction to bio-medical imaging systems used today, including xray imaging and computed tomography (CT), magnetic resonance imaging (MRI), ultrasound imaging (UI), and diffuse optical tomography (DOT). The course will review the fundamental mathematics underlying each imaging modality, the hardware needed to implement each system, and the image reconstruction and analysis. The class may involve homework, projects, and exams.

This course is an engineering-based approach to the system of ethics relevant to healthcare technology development. The responsibilities of biomedical engineers to patients, employers, and the profession are described and analyzed. Principles from the philosophy of science, the professional practice of engineering, and human subjects protection are presented in the context of biomedical engineering.

Continuous and discrete signals, sampling, Fourier Transform, LaPlace Transform, Z-Transform, correlation and spectral analysis, digital filters.

Half-time to full-time work on thesis. May be repeated to a maximum of six semesters.

Half-time to full-time work on thesis. May be repeated to a maximum of six semesters.

Half-time to full-time work on thesis. May be repeated to a maximum of six semesters.

Half-time to full-time work on thesis. May be repeated to a maximum of six semesters.

Half-time to full-time work on thesis. May be repeated to a maximum of six semesters.