BME 503 Biological Numerical Methods (3)

The complexity of biomedical systems presents significant mathematical challenges. Therefore, modeling and simulation are essential to understanding these systems and numeric tools are the basis/means for accomplishing this. This course is a survey of essential numeric tools routinely applied to solving biomedical engineering problems that are implemented primarily via Matlab scientific programming language.

Recommended Background: Multivariate calculus, differential equations, MATLAB or other programming language.  Equivalent UT courses include Math 141, Math 231, Math 251, EF 230 or COSC 140

BME 511 Biotransport Processes (3)

Introduction of an integrative set of computational problem solving tools providing numerical foundations for Biomedical Engineering. This course will apply numerical methods to applications in systems, organs, cellular, and molecular systems.

(DE) Prerequisite(s):  BME 503

BME 521 Applied Quantitative Physiology (3)

This course is an introduction to mathematical modeling, theoretical analysis, computer simulation, and computer visualization in physiology of systems. Topics may include electrocardiology, circulatory system, respiration mechanisms, muscle functions, renal physiology, retina and vision, immune response, etc. Upon completion of the course, students will grasp fundamental mathematical thinking in systems physiology.

(DE) Prerequisite(s):  BME 503

BME 601 – Doctoral Research Methodology (3)

Intensive, individualized experience in reviewing literature, evaluating experimental or theoretical methods, planning a research project, and presenting research project plans orally and in writing.

Registration Permission:  Permission of instructor

Registration Restriction(s):  PhD students only