Biomedical Engineering Courses

​This course is intended as an advanced course for engineering students, with an emphasis on applying mechanics principles to study human kinematics and kinetics and their effects at the joint, organ, and tissue levels.  Topics will include: inverse kinematics and dynamics calculations, muscle force/length and force/velocity relationships, bone and cartilage stresses and strains, and clinical biomechanics applications.  Calculations based on experimental measurements and developing, validating, and applying computational approaches will be emphasized.

This course will include an extensive review of contemporary literature on the topic of musculoskeletal biomechanics. It is intended to provide students with an appreciation of the experimental techniques and active areas of research at the interface of human movement and the musculoskeletal system.  Topics such as injury, arthroplasty, and the effects of surgical procedures will be discussed. ST:SMART MATERIALS & ACTUATION This course is intended as an advanced course for engineering students, with an emphasis on applying mechanics principles to study human kinematics and kinetics and their effects at the joint, organ, and tissue levels.  

Topics will include: inverse kinematics and dynamics calculations, muscle force/length and force/velocity relationships, bone and cartilage stresses and strains, and clinical biomechanics applications.  Calculations based on experimental measurements and developing, validating, and applying computational approaches will be emphasized.

This course is intended as an advanced course for engineering students, with an emphasis on applying mechanics principles to study human kinematics and kinetics and their effects at the joint, organ, and tissue levels.  Topics will include: inverse kinematics and dynamics calculations, muscle force/length and force/velocity relationships, bone and cartilage stresses and strains, and clinical biomechanics applications.  Calculations based on experimental measurements and developing, validating, and applying computational approaches will be emphasized.