This seminar series is a 1-credit class, open to graduate students in the BME program. Students enrolled in the seminar are expected to attend the BME Seminar Series and/or present at and attend the BME Graduate seminar series. Seminar speakers are chosen each semester by the BME faculty for their relevance to topics in biomedical engineering.

The course covers the basic principles of the scientific method with a particular focus on research topics in Biomedical Engineering. The course covers hypothesis formulation, designing experiments to test hypotheses, and data analyses. It also covers approaches to writing, reading, and critiquing research journal articles.

This course provides a comprehensive introduction to the principles, fabrication technologies, modeling, and analysis of micro-electro-mechanical systems (MEMS). Core topics include microfabrication processes, MEMS materials, microscale sensing and actuation mechanisms, and analytical and numerical modeling techniques relevant to small-scale systems. The course further introduces microrobotics, which studies robotic systems at the micron scale capable of interacting with and manipulating microscale objects.

This course will first provide an understanding of basic immunology and then transition to apply these fundamental principles to the design of immunoengineering solutions to biomedical disease challenges. Basic immunological principles that we will cover in the first part of the course include the cells of the immune system and their function, innate and adaptive responses, antigen presentation, T and B cell responses, and immunological memory.

This course is intended to serve as an introduction to bioimaging and its applications to medical fields. In this course, the fundamental physical principles behind the four primary medical imaging modalities (X-ray, magnetic resonance imaging, ultrasound, and nuclear imaging) will be introduced. In addition, the underlying image reconstruction algorithms will be described. Introduction of each imaging modality will also include the clinical interpretation of images it produces.