NEW UNDERGRADUATE/GRADUATE COURSES DEVELOPED AND TAUGHT
BENG4203/5263: Biomedical Engineering Principles: (Fall 04, 05, 06, 07) Course is core deign elective for biomedical engineering area of concentration. This is a highly interdisciplinary class as undergraduate students from biological, chemical and electrical engineering and graduate students from electrical, chemical, and biomedical engineering and students from interdisciplinary program of cell and molecular biology and micoEP-Photonic have enrolled in the class. Contains lectures on Bioelectic phenomenon, modeling of neuronal action potential, compartmental modeling, computational biology, biomechanics, and cardiovascular physiology. Significant variation in this course is use of MatLab. Students use MatLab for homework assignments, semester long projects and exams. The course is very popular and has high evalulation.
BENG5203: Mathematical Modeling of Physiological Systems: (Spring 06, 07) This is a core course for graduate students in biomedical engineering. Application of mathematical techniques to physiological systems. The emphasis is on partial differential equations, cellular physiology and cardiovascular system.
BENG 4233/5273: Numerical Methods in Biomedical Engineering: (Spring 08) For senior undergraduate and biomedical engineering graduate students, in line with programmatic needs of the department and national interest’s perspective of improving competency and capability of our students in mathematics and sciences. This course is designed to provide biomedical engineering students with emerging and necessary skills of numerical methods, mathematical modeling and computational simulation to solve common problem including ion channels, cardiovascular dynamics, receptor-ligand interactions and DNA/protein sequence matching and classification. Even on the first offering, this course is in high demand and has the highest enrollment for a non-core course.
BENG 500V: Advanced Biomedical Engineering: (Fall 06) Seminar course for graduate students to conduct oxidative stress modeling.